Conference Papers on Evolutionary Multiobjective Optimization

Maintained by

Carlos A. Coello Coello
ccoello@cs.cinvestav.mx
CINVESTAV-IPN
Sección de Computación
Departamento de Ingeniería Eléctrica
Av. Instituto Politécnico Nacional No. 2508
Col. San Pedro Zacatenco
México, D.F. 07300

Last Update: July 21st, 2007

(Keep in mind that this list is constantly being updated)

Author: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

    A

  1. Hussein A. Abbass, Ruhul Sarker and Charles Newton. PDE: A Pareto-frontier Differential Evolution Approach for Multi-objective Optimization Problems, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 2, IEEE Service Center, Piscataway, New Jersey, pp. 971--978, May 2001

  2. Hussein A. Abbass. A Memetic Pareto Evolutionary Approach to Artificial Neural Networks, in The Australian Joint Conference on Artificial Intelligence, Adelaide, Australia, Lecture Notes in Artificial Intelligence Vol. 2256, Springer, pp. 1-12, December 2001.

  3. Hussein A. Abbass and Ruhul Sarker. Simultaneous Evolution of Architectures and Connection Weights in ANNs, in The Artificial Neural Networks and Expert Systems Conference (ANNES'01), Dunedin, New Zealand, pp. 16--21, November 2001.

  4. Hussein A. Abbass. The Self-Adaptive Pareto Differential Evolution Algorithm, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 831--836, IEEE Service Center, Piscataway, New Jersey, May 2002.

  5. Hussein A. Abbass and Kalyanmoy Deb. Searching under Multi-evolutionary Pressures, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 391--404, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  6. Hussein A. Abbass. Pareto Neuro-Evolution: Constructing Ensemble of Neural Networks Using Multi-objective Optimization, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 2074--2080, IEEE Press, Canberra, Australia, December 2003 .

  7. Hussein A. Abbass. An Inexpensive Cognitive Approach for Biobjective Optimization using Bliss Points and Interaction, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 712--721, Birmingham, UK, September 2004 .

  8. M. F. Abbod, D. A. Linkens, and M. Mahfouf. Multi-Objective Genetic Optimization for Self-Organizing Fuzzy Logic Control. In Proceedings of UKACC Control'98, pages 1575-1580, University of Wales Swansea, UK, september 1998. IEE.

  9. M.A. Abido. A new multiobjective evolutionary algorithm for environmental/economic power dispatch, Power Engineering Society Summer Meeting, Vol. 2, pp. 1263--1268, IEEE, 2001.

  10. M.A. Abido and J.M. Bakhashwain. A Novel Multiobjective Evolutionary Algorithm for Optimal Reactive Power Dispatch Proble, in Proceedings of the 2003 10th IEEE International Conference on Electronics, Circuits and Systems, 2003 (ICECS 2003), IEEE, Vol. 3, pp. 1054--1057, December 2003.

  11. M.A. Abido. Multiobjective Optimal VAR Dispatch Using Strength Pareto Evolutionary Algorithm, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 2745--2751, IEEE, Vancouver, BC, Canada, July 2006 .

  12. J.A.R. Abraham and I.C. Parmee. Extraction of Emerging Multi-Objective Design Information from COGA Data, in I.C. Parmee (editor), Adaptive Computing in Design and Manufacture VI, pp. 221--233, Springer, London, 2004 .

  13. Ajith Abraham, Crina Grosan, Sang Yong Han and Alexander Gelbukh. Evolutionary Multiobjective Optimization Approach for Evolving Assemble of Intelligent Paradigms for Stock Market Modeling, in Alexander Gelbukh, Álvaro de Albornoz and Hugo Terashima-Marín (editors), MICAI 2005: Advances in Artificial Intelligence, Springer, pp. 673--681, Lecture Notes in Artificial Intelligence Vol. 3789, Monterrey, México, November 2005 .

  14. Adnan Acan and Ahmet Unveren. Evolutionary Multiobjective Optimization with a Segment-Based External Memory Support for the Multiobjective Quadratic Assignment Problem. , in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2723--2729, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.

  15. Salem F. Adra, Ian Griffin and Peter J. Fleming. Hybrid Multiobjective Genetic Algorithm with a New Adaptive Local Search Process, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1009--1010, Vol. 1, ACM Press, New York, USA, June 2005 .

  16. Salem F. Adra, Ahmed I. Hamody, Ian Griffin and Peter J. Fleming. A Hybrid Multi-Objective Evolutionary Algorithm Using an Inverse Neural Network for Aircraft Control System DesignA , in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1--8, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  17. S.F. Adra, I.A. Griffin and P.J. Fleming. An Adaptive Memetic Algorithm for Enhanced Diversity, in I.C. Parmee (Editor), Adaptive Computing in Design and Manufacture 2006. Proceedings of the Seventh International Conference, pp. 251--254, The Institute for People-centred Computation, Bristol, UK, April 2006.

  18. Salem F. Adra, Ian Griffin and Peter J. Fleming. A Comparative Study of Progressive Preference Articulation Techniques for Multiobjective Optimisation, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 908--921, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  19. Jeroen C.J.H. Aerts, Marjan van Herwijnen and Theodor J. Stewart. Using Simulated Annealing and Spatial Goal Programming for Solving a Multi Site Land Use Allocation Problem, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 448--463, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  20. Alexandros Agapitos and Simon M. Lucas. Evolving a Statistics Class Using Object Oriented Evolutionary Programming, in Marc Ebner, Michael O'Neill, Anikó Ekárt, Leonardo Vanneschi and Anna Isabel Esparcia-Alcázar (editors), Genetic Programming, 10th European Conference, EuroGP 2007, pp. 291--300, Springer. Lecture Notes in Computer Science Vol. 4445, Valencia, Spain, April 2007 .

  21. Jose Aguilar and Pablo Miranda. Approaches Based on Genetic Algorithms for Multiobjective Optimization Problems, In Wolfgang Banzhaf, Jason Daida, Agoston E. Eiben, Max H. Garzon, Vasant Honavar, Mark Jakiela, and Robert E. Smith, editors, GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference, volume 1, pages 3--10, Orlando, Florida, USA, 1999. Morgan Kaufmann Publishers.

  22. Jose Aguilar and Pablo Miranda. Resolution of the Left Ventricle 3D Reconstruction Problem using Approaches based on Genetic Algorithm for Multiobjective Problems, In 1999 Congress on Evolutionary Computation, pages 913--920, Vol. 2, Washington, D.C., July 1999. IEEE Service Center.

  23. Arturo Hernández Aguirre, Ricardo Salem Zebulum and Carlos A. Coello Coello. Evolutionary Multiobjective Design targeting a Field Programmable Transistor Array, in Ricardo S. Zebulum, David Gwaltney, Gregory Hornby, Didier Keymeulen, Jason Lohn and Adrian Stoica (editors), Proceedings of the 2004 NASA/DoD Conference on Evolvable Hardware, pp. 199--205, IEEE Computer Society, Los Alamitos, California, June 2004 .

  24. Hernán E. Aguirre, Masahiko Sato and Kiyoshi Tanaka. Preliminary Study on the Performance of Multi-objective Evolutionary Algorithms with MNK-Landscapes, in Proceedings of the 2004 RISP International Workshop on Nonlinear Circuits and Signal Processing (NCSP 2004), pp. 315--318, The Research Institute of Signal Processing Japan, Hawaii, USA, March 2004 .

  25. Hernán E. Aguirre and Kiyoshi Tanaka. Insights on Properties of Multiobjective MNK-Landscapes, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 196--203, Portland, Oregon, USA, June 2004 .

  26. Arturo Hernández Aguirre, Salvador Botello Rionda and Carlos A. Coello Coello. PASSSS: An Implementation of a Novel Diversity Strategy for Handling Constraints, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 403--410, Portland, Oregon, USA, June 2004 .

  27. Hernán E. Aguirre and Kiyoshi Tanaka. Effects of Elitism and Population Climbing on Multiobjective MNK-Landscapes, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 449--456, Portland, Oregon, USA, June 2004 .

  28. Hernán Aguirre and Kiyoshi Tanaka. Selection, Drift, Recombination, and Mutation in Multiobjective Evolutionary Algorithms on Scalable MNK-Landscapes, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 355--369, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  29. Frank J. Aherne, Neil A. Thacker, and Peter I. Rockett. Optimal Pairwise Geometric Histograms. In Adrian F. Clark, editor, Electronic Proceedings of the Eighth British Machine Vision Conference, BMVC97, University of Essex, United Kingdom, September 1997.

  30. Frank J. Aherne, Neil A. Thacker, and Peter I. Rockett. Automatic Parameter Selection for Object Recognition using a Parallel Multiobjective Genetic Algorithm. In Proceedings of the 7th International Conference on Computer Analysis of Images and Patterns (CAIP'97), Lecture Notes in Computer Science 1296, pages 559-566, Kiel, Germany, September 1997. Springer Verlag.

  31. Frank J. Aherne, Neil A. Thacker, and Peter I. Rockett. Optimising Object Recognition Parameters using a Parallel Multiobjective Genetic Algorithm, In Proceedings of the 2nd IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA'97), pages 1-6, Glasgow, Scotland, September 1997. IEE.

  32. M. E. Alemany and C. Andrés and E. Vicens. A new genetic algorithm for the machine grouping problem with multiple objectives, in Ashayeri and Sullivan and Ahmad (eds), Proceedings of Flexible Automation and Intelligent Manufacturing (FAIM 1999), pp. 461--473, 1999

  33. Julio E. Alvarez-Benitez, Richard M. Everson and Jonathan E. Fieldsend. A MOPSO Algorithm Based Exclusively on Pareto Dominance Concepts, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 459--473, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  34. Ahmad Al-Yamani, Sadiq M. Sait and Hassan R. Barada. HPTS: Heterogeneous Parallel Tabu Search for VLSI Placement, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 351--355, IEEE Service Center, Piscataway, New Jersey, May 2002.

  35. P. Amato, M. Farina and C. Manara. Analysis of fuzzy-based extensions of Pareto optimality theory, in ERCIM Workshop on Soft Computing, pp. 126--134, Vienna, Austria, July 2004.

  36. Mark A. Anastasio, Matthew A. Kupinski, Robert M. Nishikawa, and Maryellen L. Giger. A Multiobjective Approach to Optimizing Compterized Detection Schemes, in 1998 IEEE Nuclear Science Symposium, Vol. 3, pp. 1879--1883, IEEE, 1998.

  37. Kevin P. Anchor, Jesse B. Zydallis, Gregg H. Gunsch and Gary B. Lamont. Extending the Computer Defense Immune System: Network Intrusion Detection with a Multiobjective Evolutionary Programming Approach, in Jonathan Timmis and Peter J. Bentley (editors), First International Conference on Artificial Immune Systems (ICARIS'2002), pp. 12--21, University of Kent at Canterbury, Inglaterra, ISBN 1-902671-32-5, September 2002.

  38. Kevin P. Anchor, Jesse B. Zydallis, Gregg H. Gunsch and Gary B. Lamont. Different Multi-objective Evolutionary Programming Approaches for Detecting Computer Network Attacks, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 707--721, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  39. M. B. Anderson, W. R. Lawrence, and G. A. Gebert. Using an Elitist Pareto Genetic Algorithm for Aerodynamic Data Extraction. In 4th Aerospace Sciences Meeting and Exhibit, Reno, Nevada, January 1996. AIAA Paper 96-0514.

  40. M. B. Anderson and W. R. Lawrence. Launch Conditions and Aerodynamic Data Extraction By An Elitist Pareto Genetic Algorithm. In AIAA Atmospheric Flight Mechanics Conference, San Diego, California, July 1996. AIAA Paper 96-3361.

  41. Murray B. Anderson. Using Pareto Genetic Algorithms for Preliminary Subsonic Wing Design. In 6th AIAA/NASA/USAF Multidisciplinary Analysis and Optimization Symposium, Bellevue, Washington, September 1996. AIAA Paper 96-4023.

  42. Jessica M. Anderson, Tessa M. Sayers, and M. G. H. Bell. Optimization of a Fuzzy Logic Traffic Signal Controller by a Multiobjective Genetic Algorithm, In Proceedings of the Ninth International Conference on Road Transport Information and Control, pages 186-190, London, April 1998. IEE.

  43. Murray B. Anderson, J. E. Burkhalter, and R. M. Jenkins. Missile Aerodynamic Shape Optimization Using Genetic Algorithms. In AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, January 1999. AIAA Paper 99-0261.

  44. Johan Andersson, Jochen Pohl, and Petter Krus. Design of Objective Functions for Optimization of Multi-domain Systems, Proceedings of the 1998 ASME Winter Meeting, Fuild Power Systems and Technology, Anaheim, California, November 15-20, 1998

  45. Johan Andersson, Petter Krus and David Wallace. Multi-Objective Optimization of Hydraulic Actuator Systems, Proceedings of the 2000 ASME Design Automation Conference, Paper DAC-14512, Baltimore, Maryland, September 2000

  46. Johan Andersson and Petter Krus. Metamodel Representations for Robustness Assessment in Multiobjective Optimization, Proceedings of the 13th International Conference on Engineering Design (ICED'01), Glasgow, UK, August 2001.

  47. Johan Andersson. Sensitivity Analysis in Pareto Optimal Design, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 156--161, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  48. Johan Andersson. Applications of a Multi-objective Genetic Algorithm to Engineering Design Problems, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 737--751, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  49. Shin Ando, Jun Sakuma and Shigenobu Kobayashi. Adaptive Isolation Model using Data Clustering for Multimodal Function Optimization, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1417--1424, Vol. 2, ACM Press, New York, USA, June 2005 .

  50. Shin Ando and Shigenobu Kobayashi. Fitness-based Neighbor Selection for Multimodal Function Optimization, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1573--1574, Vol. 2, ACM Press, New York, USA, June 2005 .

  51. Shin Ando and Einoshin Suzuki. Distributed Multi-objective GA for Generating Comprehensive Pareto Front in Deceptive Optimization Problems, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 5718--5725, IEEE, Vancouver, BC, Canada, July 2006 .

  52. B. Andrés-Toro, E. Besada-Portas, P. Fernández-Blanco, J.A. López-Orozco and J.M. Girón-Sierra. Multiobjective Optimization of Dynamic Processes by Evolutionary Methods, in Proceedings of the 15th IFAC World Congress on Automatic Control, Barcelona, Spain, July 2002.

  53. Kiam Heong Ang and Yun Li. Multi-Objective Benchmark Studies for Evolutionary Computation, 2001 Genetic and Evolutionary Computation Conference. Workshop Program, San Francisco, California, pp. 393--396, July 2001

  54. Kiam Heong Ang, Yun Li and Kay Chen Tan. Multi-Objective Benchmark Functions and Benchmark Studies for Evolutionary Computation, Proceedings of the International Conference on Computational Intelligence for Modelling and Automation (CIMCA'2001), Las Vegas, Nevada, pp. 132--139, July 2001

  55. Kiam Heong Ang, Gregory Chong and Yun Li. Preliminary Statement on the Current Progress of Multi-Objective Evolutionary Algorithm Performance Measurement, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1139--1144, IEEE Service Center, Piscataway, New Jersey, May 2002.

  56. Kiam Heong Ang, Gregory Chong and Yun Li. Visualization Technique for Analyzing Non-Dominated Set Comparison, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 36--40, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  57. Anders Angantyr, Johan Andersson and Jan-Olov Aidanpaa. Constrained Optimization based on a Multiobjective Evolutionary Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1560--1567, IEEE Press, Canberra, Australia, December 2003 .

  58. Eric Angel, Evripidis Bampis and Laurent Gourvès. A Dynasearch Neighborhood for the Bicriteria Traveling Salesman Problem, in Xavier Gandibleux, Marc Sevaux, Kenneth Sörensen and Vincent T'kindt (editors), Metaheuristics for Multiobjective Optimisation, pp. 153--176, Springer. Lecture Notes in Economics and Mathematical Systems Vol. 535, Berlin, 2004 .

  59. Angelo Marcello Anile, Vincenzo Cutello, Giuseppe Nicosia, Rosario Rascunà and Salvatore Spinellain. Comparison among Evolutionary Algorithms and Classical Optimization Methods for Circuit Design Problems, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 765--772, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  60. Francisco Aparisi and J. Carlos García-Díaz, A Multiobjective Optimization for the EWMA and MEWMA Quality Control Charts, in Proceedings of Inverse Problems, Design and Optimization Symposium (IPDO'2004), Rio de Janeiro, Brazil,March 17-19, 2004 .

  61. Masao Arakawa, Hirotaka Nakayama, Ichiro Hagiwara and Hiroshi Yamakawa. Multiobjective Optimization Using Adaptive Range Genetic Algorithms with Data Envelopment Analysis, in A Collection of Technical Papers of the 7th Symposium on Multidisciplinary Analysis and Optimization, paper AIAA-98-4970, pp. 2074--2082, Vol. 3, 1998.

  62. B. Arkov, D.C. Evans, P.J. Fleming, D.C. Hill, J.P. Norton, I. Pratt, D. Rees, and K. Rodríguez Vázquez. System Identification Strategies Applied to Aircraft Gas-Turbine Engines. In 14th IFAC World Congress, volume 1, pages 145-152, Beijing, China, July 1999.

  63. Rubén Armañanzas and Jose A. Lozano.A Multiobjective Approach to the Portfolio Optimization Problem, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1388--1395, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.

  64. T. Arslan, E. Ozdemir, M. S. Bright, and D. H. Horrocks. Genetic Synthesis Techniques for Low-Power Digital Signal Processing Circuits, In Proceedings of The IEE Colloquium On Digital Synthesis, pages 7/1-7/5, London, UK, February 1996. IEE.

  65. Giuseppe Ascia, Vincenzo Catania and Maurizio Palesi. Design Space Exploration Methodologies for IP-Based System-on-a-Chip, in IEEE International Symposium on Circuits and Systems, Vol. 2, pp. 364--367, 2002.

  66. Giuseppe Ascia, Vincenzo Catania and Maurizio Palesi. A Framework for Design Space Exploration of Parameterized VLSI Systems, in Proceedings of the 7th Asia and South Pacific Design Automation Conference and the 15th International Conference on VLSI Design, pp. 245--250, IEEE, 2002.

  67. Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi and Davide Patti. Multi-objective Optimization of a Parameterized VLIW Architecture, in Ricardo S. Zebulum, David Gwaltney, Gregory Hornby, Didier Keymeulen, Jason Lohn and Adrian Stoica (editors), Proceedings of the 2004 NASA/DoD Conference on Evolvable Hardware, pp. 191--198, IEEE Computer Society, Los Alamitos, California, June 2004 .

  68. Giuseppe Ascia, Vincenzo Catania and Maurizio Palesi. An Evolutionary Approach to Network-on-Chip Mapping Problem, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 112--119, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  69. Giuseppe Ascia, Vincenzo Catania, Alessandro G. Di Nuovo, Maurizio Palesi and Davide Patti. A Multiobjective Genetic Fuzzy Approach for Intelligent System-level Exploration in Parameterized VLIW Processor Design, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 6200--6207, IEEE, Vancouver, BC, Canada, July 2006 .

  70. A. Augugliaro, L. Dusonchet, S. Favuzza and E. Riva Sanseverino. A Fuzzy-Logic based Evolutionary Multiobjective Approach for Automated Distribution Networks Management, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 847--854, Portland, Oregon, USA, June 2004 .

  71. Shapour Azarm, Brian J. Reynolds, and Sanjay Narayanan. Comparison of Two Multiobjective Optimization Techniques With and Within Genetic Algorithms, In CD-ROM Proceedings of the 25th ASME Design Automation Conference, volume Paper No. DETC99/DAC-8584, Las Vegas, Nevada, September 1999.

    72. B

  72. Meghna Babbar, Ashvin Lakshmikantha and David E. Goldberg. A Modified NSGA-II to Solve Noisy Multiobjective Problems, in James Foster (editors), 2003 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 21--27, AAAI, Chicago, Illinois, USA, July 2003.

  73. B.V. Babu and M. Mathew Leenus Jehan. Differential Evolution for Multi-Objective Optimization, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2696--2703, IEEE Press, Canberra, Australia, December 2003 .

  74. Benoit Bagot and Harmut Pohlheim. Complementary Selection and Variation for an Efficient Multiobjective Optimization of Complex Systems, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 751--757, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  75. Benoit Bagot. The Harmonic Decision Matrix: a Subtle Model of the Natural Neuron, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1539--1546, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.

  76. A. Bajwa, T. Williams and M.A. Stuchly. Design of Broadband Radar Absorbers with Genetic Algorithm, in IEEE International Symposium of the Antennas and Propagation Society, Vol. 4, IEEE, pp. 672--675, 2001.

  77. Jerzy Balicki and Zybmunt Kitowski. Evolutionary Algorithms for Navigation of Underwater Vehicle, in M. Galicki and K. Tchon (editors), Proceedings of the Second International Workshop on Robot Motion and Control, pp. 103--108, 2001.

  78. Jerzy Balicki. Evolutionary algorithms for multicriteria optimization of program module allocations, in M. Koksalan and S. Zionts (eds), 15th International Conference on Multiple Criteria Decision Making (MCDM), Springer-Verlag, Lecture Notes in Economics and Mathematical Sciences, Volume 507, pp. 273--281, 2001.

  79. Jerzy Balicki and Zygmunt Kitowski. Model of the Immune System to Handle Constraints in Evolutionary Algorithm for Pareto Task Assignments, in Mieczyslaw A. Klopotek, Slawomir T. Wierzchon and Krzysztof Trojanowski (editors), Intelligent Information Processing and Web Mining, Proceedings of the International IIS: IIPWM'03, Springer, pp. 3--12, 2003 .

  80. Jerzy Balicki. Multi-criterion Evolutionary Algorithm with Model of the Immune System to Handle Constraints for Task Assignments, in Leszek Rutkowski, Jörg H. Siekmann, Ryszard Tadeusiewicz and Lotfi A. Zadeh (Editors), Artificial Intelligence and Soft Computing - ICAISC 2004, 7th International Conference. Proceedings, Springer. Lecture Notes in Computer Science Vol. 3070, pp. 394--399, Zakopane, Poland, June 2004 .

  81. Jerzy Balicki. Immune systems in multi-criterion evolutionary algorithm for task assignments in distributed computer system, in Advances in Web Intelligence, Springer, Lecture Notes in Computer Science Vol. 3528, pp. 51--56, 2005 .

  82. Jerzy Balicki. Negative selection with ranking procedure in tabu-based multi-criterion evolutionary algorithm for task assignment, Computational Science - ICCS 2006, Pt 3, Proceedings, pp. 863--870, Springer-Verlag, Lecture Notes in Computer Science Vol. 3993, 2006 .

  83. Pedro J. Ballester and Jonathan N. Carter. Real-Parameter Genetic Algorithms for Finding Multiple Optimal Solutions in Multi-modal Optimization, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 706--717, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003 .

  84. R. J. Balling, J. T. Taber, K. Day, and S. Wilson. City Planning with a Multiobjective Genetic Algorithm and a Pareto Set Scanner. In Ian C. Parmee, editor, Proceedings of the Fourth International Conference on Adaptive Computing in Design and Manufacture (ACDM'2000), pages 237-247. PEDC, University of Plymouth, UK, Springer London, 2000.

  85. Richard Balling and Scott Wilson.The Maximim Fitness Function for Multi-objective Evolutionary Computation: Application to City Planning, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 1079--1084, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

  86. Richard Balling. The Maximin Fitness Function; Multiobjective City and Regional Planning, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 1--15, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  87. Alexandre M. Baltar and Darrell G. Fontane. A generalized multiobjective particle swarm optimization solver for spreadsheet models: application to water quality, in Hydrology Days 2006, Fort Collins, Colorado, March 2006 .

  88. Benjamín Barán, José Vallejos, Rodrigo Ramos and Ubaldo Fernández. Reactive Power Compensation using A Multi-objective Evolutionary Algorithm, in IEEE Porto Power Tech Proceedings, Vol. 2, pp. 6--11, Porto, Portugal, IEEE, September 2001.

  89. Benjamín Barán, José Vallejos, Rodrigo Ramos and Ubaldo Fernández. Multi-objective Reactive Power Compensation, in 2001 IEEE/PES Transmission and Distribution Conference and Exposition, Vol. 1, pp. 97--101, IEEE, 2001.

  90. B. Barán and M. Schaerer. A Multiobjective Ant Colony System for Vehicle Routing Problem with Time Windows, in Proceedings of the 21st IASTED International Conference on Applied Informatics, pp. 97--102, IASTED, Innsbruck, Austria, February 2003.

  91. P. Di Barba, M. Farina, and A. Savini. A Meta Optimization Approach to the Pareto Optimal Design of Multiple Wingdings Solenoids, In Kaisa Miettinen, Marko M. Mäkelä, Pekka Neittaanmäki, and Jacques Periaux, editors, Proceedings of EUROGEN'99, Jyväskylä, Finland, 1999. University of Jyváskylä.

  92. P. Di Barba, M. Farina, and A. Savini. Multicriteria Optimization of Air-cored Solenoids with Multiple Windings, In Proceedings of the International Symposium on Non-linear Electromagnetic Systems, ISEM'99, Pavia, Italy, May 1999. IOS Press.

  93. P. Di Barba, M. Farina, and A. Savini. Vector Shape Optimization of an Electrostatic Micromotor using a Genetic Algorithm, In Proceedings of the International Symposium on Electromagnetic Fields in Electrical Engineering, ISEF'99, Pavia, Italy, September 1999.

  94. Helio J. C. Barbosa. A coevolutionary genetic algorithm for a game approach to structural optimization. In Thomas Bäck, editor, Proceedings of the Seventh International Conference on Genetic Algorithms, pages 545-552, San Mateo, California, July 1997. Michigan State University, Morgan Kaufmann Publishers.

  95. Helio J.C. Barbosa and André M.S. Barreto.An interactive genetic algorithm with co-evolution of weights for multiobjective problems, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 203--210, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

  96. Vincent Barichard and Jin-Kao Hao. A Population and Interval Constraint Propagation Algorithm, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 88--101, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  97. L. Barone, L. While and P. Hingston. Designing Crushers with a Multi-Objective Evolutionary Algorithm, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 995--1002, Morgan Kaufmann Publishers, San Francisco, California, July 2002.

  98. Luigi Barone, Lyndon While, Paul Hughes and Phil Hingston. Fixture-scheduling for the Australian Footboll League using a Multi-Objective Evolutionary Algorithm, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3377--3384, IEEE, Vancouver, BC, Canada, July 2006 .

  99. Carlos Barrico and Carlos Henggeler Antunes. Robustness Analysis in Multi-Objective Optimization Using a Degree of Robustness Concept, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 6778--6783, IEEE, Vancouver, BC, Canada, July 2006 .

  100. David D. Barth and Michelle D. Moore. A Genetic Algorithm for Multiobjective Multiconstrained Schedule Design, in James Foster (editors), 2003 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 28--30, AAAI, Chicago, Illinois, USA, July 2003.

  101. Thomas Bartz-Beielstein, Philipp Limbourg, Konstantinos E. Parsopoulos, Michael N. Vrahatis, Jörn Mehnen and Karlheinz Schmitt. Particle Swarm Optimizers for Pareto Optimization with Enhanced Archiving Techniques, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1780--1787, IEEE Press, Canberra, Australia, December 2003 .

  102. Thomas Bartz-Beielstein, Annette Chmielewski, Michael Janas, Boris Naujoks and Robert Scheffermann. Optimizing Door Assignment in LTL-Terminals by Evolutionary Multiobjective Algorithms, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 348--354, IEEE, Vancouver, BC, Canada, July 2006 .

  103. Matthieu Basseur, Franck Seynhaeve and El-ghazali Talbi. Design of multi-objective evolutionary algorithms: Application to the flow-shop, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1151--1156, IEEE Service Center, Piscataway, New Jersey, May 2002.

  104. Matthieu Basseur, Franck Seynhaeve and El-Ghazali Talbi. Adaptive mechanisms for multi-objective evolutionary algorithms, in IMACS multiconference, Computational Engineering in Systems Applications (CESA'03), paper S3-R-00-222, IEEE Service Center, Piscataway, New Jersey, July 2003 .

  105. Matthieu Basseur, Julien Lemesre, Clarisse Dhaenens and El-Ghazali Talbi. Cooperation between Branch and Bound and Evolutionary Approaches to Solve a Bi-objective Flow Shop Problem, in Proceedings of the Third International Workshop on Experimental and Efficient Algorithms (WEA'04), pp. 72--86, Springer-Verlag, Angra dos Reis, Brazil, May 2004 .

  106. Matthieu Basseur, Franck Seynhaeve and El-Ghazali Talbi. Path Relinking in Pareto Multi-objective Genetic Algorithms, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 120--134, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  107. Matthieu Basseur and Eckart Zitzler. A Preliminary Study on Handling Uncertainty in Indicator-Based Multiobjective Optimization, in Franz Rothlauf et al. (editors), Applications of Evolutionary Computing. EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC, pp. 727--739, Springer, Lecture Notes in Computer Science Vol. 3907, Budapest, Hungary, April 2006 .

  108. R. A. Bates, R. Fontana, L. Pronzato and H. P. Wynn. Multi-Domain Optimisation Using Computer Experiments for Concurrent Engineering, In Ian Parmee, editor, The Integration of Evolutionary and Adaptive Computing Technologies with Product/System Design and Realisation, pages 355--364, Plymouth, United Kingdom, Plymouth Engineering Design Centre, Springer-Verlag, April 1998.

  109. R.A. Bates and H.P. Wynn. The Optimisation of Multivariate Robust Design Criteria, in I.C. Parmee (Editor), Proceedings of the Fifth International Conference on Adaptive Computing Design and Manufacture (ACDM 2002), pp. 285--294, Springer-Verlag, University of Exeter, Devon, UK, April 2002.

  110. R.A. Bates and H.P. Wynn. Robust Solutions in Engineering Design: stochastic simulation versus DACE, in I.C. Parmee (editor), Adaptive Computing in Design and Manufacture VI, pp. 75--86, Springer, London, 2004.

  111. Joaquín Bautista and Jordi Pereira. Ant Algorithms for Assembly Line Balancing, in Marco Dorigo, Gianni Di Caro and Michael Sampels (editors), Ant Algorithms. Proceedings of the Third International Workshop, ANTS 2002, pp. 65--75, Springer. Lecture Notes in Computer Science, Vol. 2463, Brussels, Belgium, September 2002.

  112. Adil Baykasoglu and Nabil N. Z. Gindy. Loading flexible cell production systems: A tabu search based multiple objective simulation optimisation approach, in M.T. Hillery and H.J. Lewis (editors), 15th International Conference on Production Research, pp. 1441--1444, Vol. 2, Gemini Int. Limited, 9-13, August, University of Limerick, Limerick, Ireland, 1999.

  113. Adil Baykasoglu, Lale Özbakir and Türkay Dereli. Multiple dispatching rule based heuristic for multi-objective scheduling of job shops using tabu search, in Proceedings of MIM 2002: 5th International Conference on Managing Innovations in Manufacturing (MIM), pp. 396--402, Milwaukee, Wisconsin, USA, September 9-11, 2002.

  114. Adil Baykasoglu. Soft computing approaches to production line design, in 3rd International Conference on Responsive Manufacturing (ICRM’2005), pp. 273--279, Guangzhou, China, September 2005 .

  115. Adil Baykasoglu, Türkay Dereli and Ibrahim Sabuncu. A multiple objective ant colony optimization approach to assembly line balancing problems, in 35th International Conference on Computers and Industrial Engineering (CIE35), pp. 263--268, 19-22 June 2005, Istanbul, Turkey, 2005 .

  116. Saeed Behbahani and Clarence W. de Silva. A New Multi-Criteria Mechatronic Design Methodology Using Niching Genetic Algorithm, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 1031--1036, IEEE, Vancouver, BC, Canada, July 2006 .

  117. A. D. Belegundu, D. V. Murthy, R. R. Salagame, and E. W. Constants. Multiobjective Optimization of Laminated Ceramic Composites Using Genetic Algorithms. In Fifth AIAA/USAF/NASA Symposium on Multidisciplinary Analysis and Optimization, pages 1015-1022, Panama City, Florida, 1994. AIAA. Paper 84-4363-CP.

  118. Lamia Belfares and Adel Guitouni. Multi-objective Genetic Algorithms for Courses of Action Planning, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1543--1551, IEEE Press, Canberra, Australia, December 2003 .

  119. P. J. Bentley and J. P. Wakefield. Finding Acceptable Solutions in the Pareto-Optimal Range using Multiobjective Genetic Algorithms, In P. K. Chawdhry, R. Roy, and R. K. Pant, editors, Soft Computing in Engineering Design and Manufacturing, Part 5, pages 231-240, London, June 1997. Springer Verlag London Limited. (Presented at the 2nd On-line World Conference on Soft Computing in Design and Manufacturing (WSC2)).

  120. P. J. Bentley and J. P. Wakefield. Overview of Generic Evolutionary Design Systems, In Proceedings of the 2nd On-Line World Conference on Evolutionary Computation (WEC2), pages 53-56, 1996.

  121. P.K. Bergey. An agent enhanced intelligent spreadsheet solver for multi-criteria decision making, in Proceedings of the Fifth Americas Conference on Information Systems (AMCIS'99), pp. 966--968, Milwaukee, USA, August 1999.

  122. F. Berlanga, M.J. del Jesus, P. Gonzalez, F. Herrera and M. Mesonero, Multiobjective evolutionary induction of subgroup discovery fuzzy rules: A case study in marketing, in Advances in Data Mining, pp. 337--349, Springer-Verlag, Lecture Notes in Artificial Intelligence Vol. 4065, 2006 .

  123. Yaniv Bernstein, Xiaodong Li, Vic Ciesielski and Andy Song. Improving Generalisation Performance Through Multiobjective Parsimony Enforcement, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 702--703, Seattle, Washington, USA, June 2004.

  124. Yaniv Bernstein, Xiaodong Li, Vic Ciesielski and Andy Song. Multiobjective Parsimony Enforcement for Superior Generalisation Performance, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 83--89, Portland, Oregon, USA, June 2004.

  125. Alain Berro and Yves Duthen. Search for optimum in dynamic environment: a efficient agent-based method, 2001 Genetic and Evolutionary Computation Conference. Workshop Program, San Francisco, California, pp. 51--54, July 2001

  126. Alain Berro and Stephane Sanchez. Autonomous Agent for Multi-objective Optimization, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 251--252, Seattle, Washington, USA, June 2004 .

  127. Adam Berry and Peter Vamplew. A Simplified Artificial Life Model for Multiobjective Optimisation: A Preliminary Report, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 1331--1339, IEEE Press, Canberra, Australia, December 2003 .

  128. Adam Berry and Peter W. Vamplew. A Language for Platform Independent Communication and Storage in Multiobjective Optimisation, in M. Negnevitsky (editor), Proceedings of AISAT2004: International Conference on Artificial Intelligence in Science and Technology, pp. 308--313, University of Tasmania, Hobart, Australia, November 2004, ISBN 1862952094.

  129. Adam Berry and Peter Vamplew. The Combative Accretion Model--Multiobjective Optimisation Without Explicit Pareto Ranking, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 77--91, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  130. Adam Berry and Peter Vamplew. An Efficient Approach to Unbounded Bi-Objective Archives---Introducing the Mak_Tree Algorithm, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 619--626, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  131. Siddhartha Bhattacharyya. Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing, in Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 465--471, ACM Press, New York, 2000.

  132. B. Bica, A.J. Chipperfield, P.J. Fleming and Sheena MacKenzie. Enhancing the Performance of a Multivariable Fuzzy Controller by Means of a Multiobjective Genetic Programming and Statistical Analysis, in 26th Annual Conference of the IEEE Industrial Electronics Society, Vol. 3, pp. 1686--1691, IEEE, 2000.

  133. Alexis Bienvenüe, Marc Joannides, Jean Bérard, éric Fontenas and Olivier François. Niching in Monte Carlo Filtering Algorithms, in Pierre Collet, Cyril Fonlupt, Jin-Kao Hao, Evelyne Lutton and Marc Schoenauer (editors), Artifial Evolution. Selected Papers from the 5th International Conference, Evolution Artificielle, EA 2001, pp. 19--30, Springer. Lecture Notes in Computer Science Vol. 2310, October 2001.

  134. Zafer Bingul, Ali Sekmen, and Saleh Zein-Sabatto. Adaptive Genetic Algorithms Applied to Dynamic Multi-Objective Problems. In Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark Embrechts, Okan Ersoy, and Stephen Kercel, editors, Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE'2000), pages 273-278, New York, 2000. ASME Press

  135. Zafer Bingul, Ali Sekmen, and Saleh Zein-Sabatto. Genetic Algorithms Applied to Real Time Multi-Objective Optimization Problems. In Proceedings of the 2000 IEEE SouteastCon Conference (SoutheastCON'2000), pp.95--103, Nasstrategie für Mehrgrößensysteme zur Polgebietsvorgabe. PhD thesis, Institute of Automation, University of Magdeburg, Germany, 1994.

  136. To Thanh Binh and Urlich Korn. An evolution strategy for the multiobjective optimization, In The Second International Conference on Genetic Algorithms (Mendel 96), pages 23-28, Brno, Czech Republic, 1996.

  137. To Thanh Binh and Urlich Korn. Multicriteria control system design using an intelligent evolution strategy with dynamical constraints boundaries, In Proceedings of the Conference for Control of Industrial Systems (CIS'97), volume 2, pages 242-247, Belfort, France, 1997.

  138. To Thanh Binh and Urlich Korn. Multiobjective Evolution Strategy for Constrained Optimization Problems, In Proc. of the IMACS World Congress on Scientific Computation, Modelling and Applied Mathematics, pages 357-362, Berlin, Germany, 1997.

  139. To Thanh Binh and Urlich Korn. MOBES: A multiobjective evolution strategy for constrained optimization problems, In The Third International Conference on Genetic Algorithms (Mendel 97), pages 176-182, Brno, Czech Republic, 1997.

  140. To Thanh Binh and Urlich Korn. Scalar optimization with linear and nonlinear constraints using evolution strategies, In Bernd Reusch, editor, Lecture Notes in Computer Science, pages 381-392. Springer-Verlag, April 1997.

  141. To Thanh Binh. A Multiobjective Evolutionary Algorithm: The Study Cases, In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pages 127-128, Orlando, Florida, July 1999.

  142. Stefan Bird and Xiaodong Li. Adaptively Choosing Niching Parameters in a PSO, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 3--9, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  143. I. Blecic, A. Cecchini and G.A. Trunfio. A decision support tool coupling a causal model and a multi-objective genetic algorithm, Innovations in Applied Intelligence, Springer, Lecture Notes in Artificial Intelligence Vol. 3533, pp. 628--637, 2005 .

  144. Stefan Bleuler, Martin Braek, Lothar Thiele and Eckart Zitzler. Multiobjective Genetic Programming: Reduing Bloat Using SPEA2, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, IEEE Service Center, Piscataway, New Jersey, pp. 536--543, May 2001

  145. Stefan Bleuler, Marco Laumanns, Lothar Thiele and Eckart Zitzler. PISA---A Platform and Programming Language Independent Interface for Search Algorithms, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 494--508, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  146. Tobias Blickle, Jürgen Teich, and Lothar Thiele. An evolutionary approach to system-level synthesis, In Proc. 5th International Workshop on Hardware/Software Codesign, pages 167-172. IEEE Computer Society Press, 1997.

  147. Anna L. Blumel, Evan J. Hughes, and Brian A. White. Fuzzy Autopilot Design using a Multiobjective Evolutionary Algorithm, In 2000 Congress on Evolutionary Computation, volume 1, pages 54-61, Piscataway, New Jersey, July 2000. IEEE Service Center.

  148. Anna L. Blumel and Brian A. White. Multiobjective Optimization of Fuzzy Logic Scheduled Controllers for Missile Autopilot Design, in Joint 9th IFSA World Congress and 20th NAFIPS International Conference, IEEE, Vol. 3, pp. 1758--1763, 2001.

  149. Carlos C.H. Borges and Helio J.C. Barbosa. A Non-generational Genetic Algorithm for Multiobjective Optimization, In 2000 Congress on Evolutionary Computation, volume 1, pages 172-179, San Diego, California, July 2000. IEEE Service Center.

  150. F. Boschetti, M. Dentith, and R. List. Genetic Algorithms Incorporating a Pseudo Subspace Method, In Proceedings of the Second International Conference on Evolutionary Computation, pages 557-560, november 1995.

  151. Peter A.N. Bosman and Dirk Thierens. The Naive MIDEA: A Baseline Multi-objective EA, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 428--442, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  152. Peter A.N. Bosman and Edwin D. de Jong. Exploiting Gradient Information in Numerical Multi-Objective Evolutionary Optimization, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 755--762, Vol. 1, ACM Press, New York, USA, June 2005 .

  153. Peter A.N. Bosman and Edwin D. de Jong. Combining Gradient Techniques for Numerical Multi-Objective Evolutionary Optimization, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 627--634, Vol. 1, ACM Press. ISBN 1-59593-186-4, Seattle, Washington, USA, July 2006 .

  154. Martijn C.J. Bot. Improving Induction of Linear Classification Trees with Genetic Programming, In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee, and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 403-410, San Francisco, California, 2000. Morgan Kaufmann.

  155. Celso P. Bottura and Joao V. da Fonseca Neto. Rule-based Decision-making Unit for Eigenstructure Assignment via Parallel Genetic Algorithm and LQR Designs, in Proceedings of the 2000 American Control Conference, Vol. 1, pp. 467--471, 2000.

  156. Lucas Bradstreet, Luigi Barone and Lyndon While. Map-labelling with a Multi-objective Evolutionary Algorithm, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1937--1944, Vol. 2, ACM Press, New York, USA, June 2005 .

  157. Lucas Bradstreet, Luigi Barone and Lyndon While. Maximising Hypervolume for Selection in Multi-objective Evolutionary Algorithms, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 6208--6215, IEEE, Vancouver, BC, Canada, July 2006 .

  158. Oliver Brandte and Sergey Malinchik. A Broad and Narrow Approach to Interactive Evolutionary Design - An Aircraft Design Example, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 883--895, Seattle, Washington, USA, June 2004.

  159. Jürgen Branke, Thomas Kaußler, and Hartmut Schmeck. Guiding Multi-Objective Evolutionary Algorithms Towards Interesting Regions, In Ian C. Parmee, editor, Fourth International Conference on Adaptive Computing in Design and Manufacture (ACDM 2000), Poster Proceedings, pages 1-4. Plymouth Engineering Design Centre, University of Plymouth, April 2000.

  160. Jürgen Branke, Hartmut Schmeck, Kalyanmoy Deb and Maheshwar Reddy. Parallelizing Multi-Objective Evolutionary Algorithms: Cone Separation, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1952--1957, Portland, Oregon, USA, June 2004 .

  161. Jürgen Branke, Kalyanmoy Deb, Henning Dierolf and Matthias Osswald. Finding Knees in Multi-Objective Optimization, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 722--731, Birmingham, UK, September 2004.

  162. M. S. Bright and T. Arslan. Multi-Objective Design Strategy for High-Level Low-Power Design of DSP Systems, In IEEE International Symposium on Circuits and Systems, ISCAS 99, volume 1, pages 80-83, Florida, USA, May-June 1999.

  163. M. S. Bright and T. Arslan. Effective Design Exploration through Multi-Objective High-Level DSP Synthesis. In IEEE International ASIC/SOC Conference, pages 115-118, Florida, USA, September 1999.

  164. M. S. Bright and T. Arslan. Optimal Supply Voltage Selection through a Multiobjective Design Strategy. In IEEE 33rd Asilomar Conference on Signals, Systems, and Computers, pages 374-377, Pacific Grove, California, October 1999.

  165. Alexandra Melike Brintrup, Jeremy Ramsden, and Ashutosh Tiwari. Integrated Qualitativeness in Design by Multi-Objective Optimization and Interactive Evolutionary Computation, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2154--2160, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.

  166. Alexandra Melike Brintrup, Hideyuki Takagi and Jeremy Ramsden. Evaluation of Sequential, Multi-objective, and Parallel Interactive Genetic Algorithms for Multi-objective Floor Plan Optimisation, in Franz Rothlauf et al. (editors), Applications of Evolutionary Computing. EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC, pp. 586--598, Springer, Lecture Notes in Computer Science Vol. 3907, Budapest, Hungary, April 2006 .

  167. M.-O. Bristeau, R. Glowinski, B. Mantel, J. Periaux, and M. Sefrioui. Genetic algorithms for RCS minimization of aerodynamic shapes by active reflectors. In Y. Rahmat-Samii and E. Michielssen, editors, System Design Using Evolutionary Optimization: Genetic Algorithms. John Wiley, 1998.

  168. R. Brits, A.P. Engelbrecht and F. van den Bergh. A Niching Particle Swarm Optimizer, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 692--696, Vol. 2, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  169. Carlos A. Brizuela and Rodrigo Aceves. Experimental Genetic Operators Analysis for the Multi-objective Permutation Flowshop, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 578--592, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  170. Carlos A. Brizuela and Everardo Gutiérrez. Multi-objective Go with the Winners Algorithm: A Preliminary Study, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 206--220, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.

  171. A. J. Brown and M. Thomas. Reengineering the Naval Ship Design Process, In Proceedings of From Research to Reality in Ship Systems Engineering Symposium, page 277, University of Essex, United Kingdom, 1998. ASNE.

  172. Martin Brown and Robert E. Smith. Effective Use of Directional Information in Multi-objective Evolutionary Computation, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 778--789, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003 .

  173. Jason Brownlee. IIDLE: An Immunological Inspired Distributed Learning Environment for Multiple Objective and Hybrid Optimisation, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 1614--1620, IEEE, Vancouver, BC, Canada, July 2006 .

  174. Anthony Bucci and Jordan Pollack. Order-theoretic Analysis of Coevolution Problems: Coevolutionary Statics, in Alwyn M. Barry (editor), GECCO 2002: Proceedings of the Bird of a Feather Workshops, Genetic and Evolutionary Computation Conference, pp. 229--235, AAAI, New York, July 2002.

  175. Anthony Bucci, Jordan B. Pollack and Edwin de Jong. Automated Extraction of Problem Structure, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 501--512, Seattle, Washington, USA, June 2004 .

  176. Anna L. Buczak and V. R. Jamalabad. Self-organization of a Heterogeneous Sensor Network by Genetic Algorithms, In C. H. Dagli, M. Akay, A. L. Buczak, O. Ersoy, and B.R. Fernández, editors, Intelligent Engineering Systems Through Artificial Neural Networks, volume 8, pages 259-264, New York, 1998. ASME Press.

  177. Dirk Büche and Rolf Dornberger. New Evolutionary Algorithm for Multi-Objective Optimization and the Application to Engineering Design Problems, Proceedings of the Fourth World Congress of Structural and Multidisciplinary Optimization, Dalian, China, 2001.

  178. Dirk Büche and Peter Stoll and Petros Koumoutsakos. An evolutionary algorithm for multi-objective optimization of combustion processes, in Center for Turbulence Research. Annual Research Briefs, pp. 231--239, Stanford University, California, USA, 2001.

  179. Dirk Büche, Michele Milano and Petros Koumoutsakos. Self-Organizing Maps for Multi-Objective Optimization, in Alwyn M. Barry (editor), GECCO 2002: Proceedings of the Bird of a Feather Workshops, Genetic and Evolutionary Computation Conference, pp. 152--155, AAAI, New York, July 2002.

  180. Dirk Büche, Gianfranco Guidati, Peter Stoll, and Petros Koumoutsakos. Self-Organizing Maps for Pareto Optimization of Airfoils, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 122--131, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002.

  181. Dirk Büche, Sibylle Müller and Petro Koumoutsakos. Self-Adaptation for Multi-objective Evolutionary Algorithms, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 267--281, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  182. Lam T. Bui, Hussein A. Abbass and Daryl Essam. Fitness Inheritance For Noisy Evolutionary Multi-Objective Optimization, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 779--785, Vol. 1, ACM Press, New York, USA, June 2005 .

  183. Lam T. Bui, Jürgen Branke and Hussein A. Abbass. Diversity as a Selection Pressure in Dynamic Environments, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1557--1558, Vol. 2, ACM Press, New York, USA, June 2005 .

  184. Lam Thu Bui, Juergen Branke, and Hussein Abbass. Multiobjective optimization for dynamic environments , in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2349--2356, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.

  185. Lam T. Bui, Kalyanmoy Deb, Hussein A. Abbass and Daryl Essam. Dual guidance in evolutionary multi-objective optimization by localization, Simulated Evolution and Learning, Proceedings, Springer, Lecture Notes in Computer Science Vol. 4247, pp. 384--391, 2006.

  186. Larry Bull and Matt Studley. Considerations of Multiple Objectives in Neural Learning Classifier Systems, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 549--557, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002.

  187. E.K. Burke, P. Cowling, J.D. Landa Silva and S. Petrovic.Combining Hybrid Metaheuristics and Populations for the Multiobjective Optimisation of Space Allocation Problems, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 1252--1259, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

  188. E.K. Burke, P. Cowling, J.D. Landa Silva and S. Petrovic.On the Performance of Population-Based Metaheuristics for the Space Allocation Problem, in Jorge Pinho de Sousa (Editor), Proceedings of the 4th Metaheuristics International Conference (MIC'2001), pp. 579--583, Porto, Portugal, Program Operational Ciencia, Tecnologia, Inovaçao do Quadro Comunitário de Apoio III de Fundaçao para a Ciencia e Tecnologia, July 2001

  189. Edmund K. Burke, Patrick De Causmaecker, Sanja Petrovic and Greet Vanden Berghe. A Multi Criteria Meta-heuristic Approach to Nurse Rostering, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1197--1202, IEEE Service Center, Piscataway, New Jersey, May 2002.

  190. E.K. Burke and J.D. Landa Silva. Improving the Performance of Trajectory-Based Multiobjective Optimisers by Using Relaxed Dominance, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 203--207, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  191. E.K. Burke, J.D. Landa Silva and E. Soubeiga. Hyperheuristic Approaches for Multiobjective Optimisation, in Proceedings of the 5th Metaheuristics International Conference (MIC 2003), pp. 11.1--11.6, Kyoto, Japan, August 2003.

  192. Pietro Giuggioli Busacca, Marzio Marseguerra and Enrico Zio. Application of Genetic Algorithms to the Multi-Objective Optimization of the Inspection Times of a Safety System of a Pressurized Water Reactor, in Proceedings of the European Safety \& Reliability International Conference (ESREL'2001), Torino, Italy, September 2001.

    193. C

  193. Rafael Caballero, Julián Molina, Trinidad Gómez, Mariano Luque and Angel Torrico. A Genetic Algorithm to Solve an Integer Goal Programming Model for the Higher Education, in EU/ME European Chapter On Metaheuristics, Paris, France, November 2002.

  194. J. M. Cadenas and F. Jiménez. A genetic algorithm for the multiobjective solid transportation problem: a fuzzy approach, In International Symposium on Automotive Technology and Automation, Proceedings for the dedicated conferences on Mechatronics and Supercomputing Applications in the Transportation Industries, pages 327-334, Aachen, Germany, 1994.

  195. Daniele Calisi, Alessandro Farinelli, Luca Iocchi, Daniele Nardi and Francesca Pucci. Multi-Objective Autonomous Exploration in a Rescue Environment, in Third International Workshop on Synthetic Simulation and Robotics to Mitigate Earthquake Disaster (SRMED 2006), pp. 36--41, Bremen, Germany, June 2006 .

  196. F. Campelo, F.G. Guimarães, R.R. Saldanha, H. Igarashi, S. Noguchi, D.A. Lowther and J.A. Ramirez. A novel multiobjective immune algorithm using nondominated sorting, in 11th International IGTE Symposium on Numerical Field Calculation in Electrical Engineering, Seggauberg, Austria, September 2004.

  197. Felipe Campelo, Frederico G. Guimaraes and Hajime Igarashi. Overview of Artificial Immune Systems for Multi-Objective Optimization, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 937--951, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  198. Eduardo Camponogara and Sarosh N. Talukdar. A Genetic Algorithm for Constrained and Multiobjective Optimization, In Jarmo T. Alander, editor, 3rd Nordic Workshop on Genetic Algorithms and Their Applications (3NWGA), pages 49-62, Vaasa, Finland, August 1997. University of Vaasa.

  199. Waldo Cancino and Alexandre C. B. Delbem. A Multi-objective Evolutionary Approach for Phylogenetic Inference, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 428--442, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  200. Jessica Andrea Carballido, Ignacio Ponzoni and Nélida Beatriz Brignole. A Novel Application of Evolutionary Computing in Process Systems Engineering, in Günther R. Raidl and Jens Gottlieb (editors), Evolutionary Computation in Combinatorial Optimization. 5th European Conference, EvoCOP 2005, pp. 12--22,Springer, Lecture Notes in Computer Science Vol. 3448, Lausanne, Switzerland, March/April 2005 .

  201. Alain Cardon, Theirry Galinho, and Jean-Philippe Vacher. A Multi-Objective Genetic Algorithm in Job Shop Scheduling Problem to Refine an Agents' Architecture, In Kaisa Miettinen, Marko M. Mäkelä, Pekka Neittaanmäki, and Jacques Periaux, editors, Proceedings of EUROGEN'99, Jyväskylä, Finland, May 1999. University of Jyváskylä.

  202. Alain Cardon, Thierry Galinho, and Jean-Philippe Vacher. Using Genetic Algorithm in Job-Shop Scheduling Problem to Constraints Negociators' Agents. In Proceedings of Evolutionary Algorithms in Engineering and Computer Science, EUROGEN'99, pages 20-27, Jyväskylä, Finland, May 1999.

  203. Alain Cardon, Theirry Galinho, and Jean-Philippe Vacher. An Agent Based Architecture for Job-Shop Scheduling Problem Using the Spirit of Genetic Algorithm. In Proceedings of Evolutionary Algorithms in Engineering and Computer Science, EUROGEN'99, pages 12-19, Jyväskylä, Finland, May 1999.

  204. P. Cardoso, M. Jesus and A. Márquez. MONACO -Multi-Objective Network Optimisation based on ACO, in X Encuentros de Geometría Computacional, Seville, Spain, June 2003.

  205. P. Cardoso, M. Jesus and A. Márquez. Multiple Objective TSP based on ACO, in III Encuentro Andaluz de Matemáticas Discretas, Almeria, Spain, 2003.

  206. Pedro Cardoso, Mário Jesus and Álberto Márquez. Multiple Criteria Minimum Spanning Trees, in XI Encuentros de Geometría Computacional, Santander, Spain, 2005.

  207. Flor Castillo, Arthur Kordon, Guido Smits, Ben Christenson and Dee Dickerson. Pareto Front Genetic Programming Parameter Selection Based on Design of Experiments and Industrial Data, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1613--1620, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  208. David J. Caswell and Gary B. Lamont. Wire-Antenna Geometry Design with Multiobjective Genetic Algorithms, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 103--108, IEEE Service Center, Piscataway, New Jersey, May 2002.

  209. David J. Caswell and Gary B. Lamont. Multiobjective Meta Level Optimization of a Load Balancing Evolutionary Algorithm, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 177--191, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  210. David J. Caswell and Gary B. Lamont. Distributed Processor Allocation for Discrete Event Simulation and Digital Signal Processing Using a Multiobjective Evolutionary Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1803--1810, IEEE Press, Canberra, Australia, December 2003 .

  211. Renato Reder Cazangi and Fernando J. Von Zuben. Immune Learning Classifier Networks: Evolving Nodes and Connections, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 7994--8001, IEEE, Vancouver, BC, Canada, July 2006 .

  212. Walter Cedeno and V. Rao Vemuri. On the Use of Niching for Dynamic Landscapes. In William Porto, editor, Proceedings of the 1997 IEEE International Conference on Evolutionary Computation, pages 361-366, Piscataway, New Jersey, April 1997. IEEE Press.

  213. N. Cesario, M. Farina, E. Kovalev and M. Markin. Multiobjective Optimization for Automotive Application, in G. Bugeda, J.A. Desideri, J. Periaux, M. Schoenauer and G. Winter (Editors), Proceedings of the International Congress on Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems, EUROGEN 2003, pp. 214--222, Barcelona, Spain, September 2003.

  214. Onur L. Cetin and Kazuhiro Saitou. Decomposition-Based Assembly Synthesis of Multiple Structures for Minimum Production Cost, in Proceedings of IMECE'03 (ASME'2003 International Mechanical Engineering Congress and RD&D Expo, Washington, DC, USA, ASME Press, November 2003 .

  215. Deepti Chafekar, Jiang Xuan and Khaleed Rasheed. Constrained Multi-objective Optimization Using Steady State Genetic Algorithms, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 813--824, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003 .

  216. Nirupam Chakraborti. How Genetic algorithms Handle Pareto-Optimality in Design and Manufacturing, in Jean-Philippe Rennard (editor), Handbook of Research on Nature Inspired Computing for Economy and Management, pp. 465--481, Vol. II, Idea Group Reference, Hershey, UK, 2006, ISBN 1-59140-984-5.

  217. Nachol Chaiyaratana and Ali M.S. Zalzala. Hybridisation of Neural Networks and Genetic Algorithms for Time-Optimal Control, In 1999 Congress on Evolutionary Computation, pages 389--396, Vol. 1, Washington, D.C., July 1999. IEEE Service Center.

  218. C. S. Chang, W. Wang, A. C. Liew, F. S. Wen, and D. Srinivasan. Genetic Algorithm Based Bicriterion Optimization for Traction Sustations in DC Railway System, In Proceedings of the Second IEEE International Conference on Evolutionary Computation, pages 11-16, Piscataway, New Jersey, 1995. IEEE Press.

  219. Ni-Bin Chang and H. W. Chen. The Use of Fuzzy Interval Genetic Algorithm for Solving Multiobjective Nonlinear Mixed Integer Programming Model. In Proceedings of the First International Conference on Operations and Quantitative Management, pages 76-82, 1997.

  220. Wei-Chun Chang, Alistair Sutcliffe and Richard Neville. A Distance Function-Based Multi-Objective Evolutionary Algorithm, in James Foster (editors), 2003 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 47--53, AAAI, Chicago, Illinois, USA, July 2003.

  221. C.S. Chang and C.M. Kwan. Evaluation of evolutionary algorithms for multi-objective train schedule optimization, AI 2004: Advances in Artificial Intelligence, Springer-Verlag, Lecture Notes in Artificial Intelligence, Vol. 3339, pp. 803--815, 2004 .

  222. Pei-Chann Chang, Shih-Hsin Chen and Jih-Chang Hsieh. A global archive sub-population genetic algorithm with adaptive strategy in multi-objective parallel-machine scheduling problem, Advances in Natural Computation, Part 1, Springer, Lecture Notes in Computer Science Vol. 4221, pp. 730--739, 2006.

  223. Kay Chen Tan and Yun Li. Multi-Objective Genetic Algorithm Based Time and Frequency Domain Design Unification of Linear Control Systems. In Proceedings of the IFAC/IEEE International Symposium on Artificial Intelligence in Real-Time Control, pages 61-66, Kuala Lumpur, Malaysia, September 1997.

  224. Jian-Hung Chen and Shinn-Ying Ho. Multi-Objective Optimization of Flexible Manufacturing Systems, in Lee Spector, Erik D. Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max. H. Garzon and Edmund Burke (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2001), p. 1260--1267, Morgan Kaufmann Publishers, San Francisco, California, July 2001.

  225. Jian-Hung Chen, David E. Goldberg, Shinn-Ying Ho and Kumara Sastry. Fitness Inheritance in Multi-Objective Optimization, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 319--326, Morgan Kaufmann Publishers, San Francisco, California, July 2002.

  226. Anthony Chen, Piya Chootinan and Surachet Pravinvongvuth. An Evolutionary Approach for Finding Optimal Automatic Vehicle Identification Reader Locations in Transportation Networks, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 181--187, Portland, Oregon, USA, June 2004 .

  227. Jian-Hung Cheng, Hung-Ming Chen and Shinn-Ying Ho. Design of Nearest Neighbor Classifiers Using an Intelligent Multi-objective Evolutionary Algorithm, in Chengqi Zhang, Hans W. Guesgen and Wai K. Yeap (editors), PRICAI 2004: Trends in Artificial Intelligence. 8th Pacific Rim International Conference on Artificial Intelligence, pp. 262--271, Springer-Verlag. Lecture Notes in Artificial Intelligence Vol. 3157, Auckland, New Zealand, August, 2004.

  228. Jian-Hung Chen, Shinn-Ying Ho and David E. Goldberg. Quality-Time Analysis of Multi-Objective Evolutionary Algorithms, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1455--1462, Vol. 2, ACM Press, New York, USA, June 2005.

  229. Enhong Chen and Feng Wang. Dynamic Clustering Using Multi-objective Evolutionary Algorithm, in Yue Hao et al. (editors), Computational Intelligence and Security. International Conference, CIS 2005, pp. 73--80, Springer, Lecture Notes in Artificial Intelligence Vol. 3801, Xi'an, China, December 2005.

  230. Jun Chen and Mahdi Mahfouf. A population adaptive based immune algorithm for solving multi-objective optimization problems, in Hughes Bersini and Jorge Carneiro (editors), Artificial Immune Systems, 5th International Conference, ICARIS 2006, Proceedings, pp. 280--293, Springer-Verlag, Lecture Notes in Computer Science Vol. 4163, Oeiras, Portugal, September 2006.

  231. Huanhuan Chen and Xin Yao. Evolutionary Multiobjective Ensemble Learning Based on Bayesian Feature Selection, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 971--978, IEEE, Vancouver, BC, Canada, July 2006 .

  232. Runwei Cheng, Mitsuo Gen, and Shmuel S. Oren. An Adaptive Hyperplane Approach for Multiple Objective Optimization Problems with Complex Constraints. In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee, and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 299-306, San Francisco, California, 2000. Morgan Kaufmann.

  233. C. Y. Cheong, K. C. Tan, D. K. Liu and J. X. Xu. A Multiobjective Evolutionary Algorithm for Solving Vehicle Routing Problem with Stochastic Demand, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 5519--5526, IEEE, Vancouver, BC, Canada, July 2006 .

  234. Peter B. Cheung, Luisa F.R. Reis, Klebber T.M. Formiga, Fazal H. Chaudhry and Waldo G.C. Ticona. Multiobjective Evolutionary Algorithms Applied to the Rehabilitation of a Water Distribution System: A Comparative Study, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 662--676, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  235. Tsung-Che Chiang and Li-Chen Fu. Multiobjective Job Shop Scheduling using Genetic Algorithm with Cyclic Fitness Assignment, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 11035--11042, IEEE, Vancouver, BC, Canada, July 2006 .

  236. Swee Chiang Chiam, Chi Keong Goh and Kay Chen Tan. Adequacy of Empirical Performance Assessment for Multiobjective Evolutionary Optimizer, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 893--907, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  237. Kazuhisa Chiba, Shigeru Obayashi, Kazuhiro Nakahashi and Hiroyuki Morino. High-Fidelity Multidisciplinary Design Optimization of Wing Shape for Regional Jet Aircraft, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 621--635, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  238. Kazuhisa Chiba, Shinkyu Jeong, Shigeru Obayashi and Hiroyuki Morino. Data Mining for Multidisciplinary Design Space of Regional-Jet Wing, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2333--2340, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.

  239. A. J. Chipperfield and C. M. Fonseca P. J. Fleming. Development of Genetic Optimization Tools for Multi-Objective Optimization Problems in CACSD. In IEE Colloquium, Genetic Algorithms for Control and Systems Engineering, Halifax Hall, University of Sheffield, UK, May 1995. Digest No. 1992/106.

  240. A. J. Chipperfield and P. J. Fleming. Gas Turbine Engine Controller Design using Multiobjective Genetic Algorithms, In A. M. S. Zalzala, editor, Proceedings of the First IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems : Innovations and Applications, GALESIA'95, pages 214-219, Halifax Hall, University of Sheffield, UK, September 1995. IEEE.

  241. A. J. Chipperfield, N. V. Dakev, P. J. Fleming, and J. F. Whidborne. Multiobjective robust control using evolutionary algorithms. In IEEE International Conference on Industrial Technology, Shanghai, China, December 1996.

  242. A. J. Chipperfield and P. J. Fleming. Evolutionary Design of Gas Turbine Aero-Engine Controllers. In Frank DiCesare and Mohsen Jafari, editors, Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics, pages 2401--2406, Vol. 3, IEEE, 1998.

  243. Darren M. Chitty and Marcel L. Hernandez. A Hybrid Ant Colony Optimisation Technique for Dynamic Vehicle Routing, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 48--59, Seattle, Washington, USA, June 2004.

  244. Seunghoon Choi and Chisu Wu. Partitioning and Allocation of Objects in Heterogeneous Distributed Environments Using the Niched Pareto Genetic-Algorithm, In Proceedings of 1998 Asia Pacific Software Engineering Conference (APSEC 98), pp. 322--329, Taipei, Taiwan, December 1998.

  245. C. Rick Chow. An Evolutionary Approach to Search for NCR-Boards. In David B. Fogel, editor, Proceedings of the 1998 International Conference on Evolutionary Computation, pages 295-300, Piscataway, New Jersey, 1998. IEEE.

  246. Chi-kin Chow and Hung-tat Tsui. Autonomous Agent Response Learning by a Multi-Species Particle Swarm Optimization, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 778--785, Portland, Oregon, USA, June 2004.

  247. Hyoung-Seog Chung, Seongim Choi, and Juan J. Alonso, Supersonic Business Jet Design Using Knowledge-Based Genetic Algorithm with Adaptive, Unstructured Grid Methodology, in 21st AIAA Applied Aerodynamics Conference, AIAA Paper AIAA-2003-3791, Orlando, FL, June 23-26, 2003 .

  248. Hyoung-Seog Chung and Juan J. Alonso. Multiobjective Optimization Using Approximation Model-Based Genetic Algorithms, in Proceedings of the 10th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, paper AIAA 2004-4325, Albany, New York, USA, August 30 to September 1, 2004.

  249. Mattian Ciprian, Massimiliano Kaucic, Guilia Nogherotto, Valentino Pediroda and Danilo DiStefano. Multiattribute Methodologies in Financial Decision Aid, in Jean-Philippe Rennard (editor), Handbook of Research on Nature Inspired Computing for Economy and Management, pp. 869--884, Vol. II, Idea Group Reference, Hershey, UK, 2006, ISBN 1-59140-984-5.

  250. M. Clergue and P. Collard. Dual Genetic Algorithms and Pareto Optimization. In George D. Smith, Nigel C. Steele, and Rudolf F. Albrecht, editors, Artificial Neural Nets and Genetic Algorithms, pages 188-197, Norwich, UK, April 1997. Springer-Verlag.

  251. M. Clergue, P. Collard, and A. Gaspar. DGA and Pareto Elitism : Improving Pareto Optimization. In Second International ICSC Symposium on Soft Computing (SOCO'97) at the Ecole pour les Etudes et la Recherche en Informatique et Electronique (EERIE), Nımes, France, September 1997.

  252. Lauren M. Clevenger and William E. Hart. Convergence Examples of a Filter-Based Evolutionary Algorithm, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 666--677, Seattle, Washington, USA, June 2004.

  253. Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pahwa and Surasish Nag. A Pareto Archive Evolutionary Strategy Based Radial Basis Function Neural Network Training Algorithm for Failure Rate Prediction in Overhead Feeders, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 2127--2132, Vol. 2, ACM Press, New York, USA, June 2005 .

  254. M. Cococcioni, P. Ducange, B. Lazzerini, F. Marcelloni and M. Vecchio. Identification of Mamdani Fuzzy Systems based on a Multi-Objective Genetic Algorithm, in AI*IA 2005 Workshop on Evolutionary Computation, vol. 1, pp. 1-10, Milan, Italy, 2005.

  255. M. Cococcioni, P. Guasqui, B. Lazzerini, F. Marcelloni. Identification of Takagi-Sugeno Fuzzy Systems based on Multi-Objective Genetic Algorithms, in International Workshop on Fuzzy Logic and Applications, Springer-Verlag, Lecture Notes on Artificial Intelligence Vol. 3849, pp. 172--177, 2005.

  256. M. Cococcioni, P. Ducange, B. Lazzerini and F.Marcelloni. A comparison of multi-objective evolutionary algorithms in fuzzy Rule-Based systems generation, in Proceedings of the North American Fuzzy Information Processing Society (NAFIPS'06), Montreal, Canada, June 2006 .

  257. Guilherme P. Coelho and Fernando Von Zuben. Omni-aiNet: An immune-inspired approach for omni optimization, in Hughes Bersini and Jorge Carneiro (editors), Artificial Immune Systems, 5th International Conference, ICARIS 2006, Proceedings, pp. 294--308, Springer-Verlag, Lecture Notes in Computer Science Vol. 4163, Oeiras, Portugal, September 2006.

  258. Rajan Filomeno Coelho and Philippe Bouillard. PAMUC II for multicriteria optimization of mechanical designs with expert rules, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 17--22, Portland, Oregon, USA, June 2004.

  259. Carlos A. Coello Coello, Alan D. Christiansen, and A. Hernández Aguirre. Multiobjective Design Optimization of Counterweight Balancing of a Robot Arm using Genetic Algorithms, In Proceedings of the Seventh International Conference on Tools with Artificial Intelligence, pages 20-23, Herndon, Virginia, U.S.A., November 1995. IEEE Computer Society Press.

  260. Carlos A. Coello Coello and Alan D. Christiansen. An Approach to Multiobjective Optimization Using Genetic Algorithms, In Cihan H. Dagli, Metin Akay, C. L. Philip Chen, Benito R. Fernández, and Joydeep Ghosh, editors, Intelligent Engineering Systems Through Artificial Neural Networks. Volume 5. Fuzzy Logic and Evolutionary Programming, pages 411-416, St. Louis, Missouri, USA, November 1995. ASME Press.

  261. Carlos A. Coello Coello, Alan D. Christiansen, and Arturo Hernández Aguirre. Use of Genetic Algorithms for Multiobjective Optimization of Counterweight Balancing of Robot Arms, In Jacob J. G. Chen, editor, EXPERSYS-95 Expert Systems Applications and Artificial Intelligence, pages 243-248, San Francisco, California, November 1995. I. I. T. T. International, Technology Transfer Series.

  262. Carlos A. Coello Coello. Using a Min-Max Method to solve Multiobjective Optimization Problems with Genetic Algorithms. In IBERAMIA'98. Lecture Notes in Computer Science, pages 303-314, Lisbon, Portugal, October 1998. Springer-Verlag.

  263. Carlos A. Coello Coello. An Updated Survey of Evolutionary Multiobjective Optimization Techniques : State of the Art and Future Trends, In 1999 Congress on Evolutionary Computation, pages 3-13, Vol. 1, Washington, D.C., July 1999. IEEE Service Center.

  264. Carlos A. Coello Coello. Constraint handling through a multiobjective optimization technique, In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pages 117-118, Orlando, Florida, July 1999.

  265. Carlos A. Coello Coello. Handling Preferences in Evolutionary Multiobjective Optimization: A Survey, In 2000 Congress on Evolutionary Computation, volume 1, pages 30-37, Piscataway, New Jersey, July 2000. IEEE Service Center.

  266. Carlos A. Coello Coello, Arturo Hernández Aguirre, and Bill P. Buckles. Evolutionary Multiobjective Design of Combinational Logic Circuits, In Jason Lohn, Adrian Stoica, Didier Keymeulen, and Silvano Colombano, editors, Proceedings of the Second NASA/DoD Workshop on Evolvable Hardware, pages 161-170, Los Alamitos, California, July 2000. IEEE Computer Society.

  267. Carlos A. Coello Coello and Gregorio Toscano Pulido.Multiobjective Optimization using a Micro-Genetic Algorithm, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 274--282, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

  268. Carlos A. Coello Coello and Maximino Salazar Lechuga. MOPSO: A Proposal for Multiple Objective Particle Swarm Optimization, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1051--1056, IEEE Service Center, Piscataway, New Jersey, May 2002.

  269. Carlos A. Coello Coello and Nareli Cruz Cortés. An Approach to Solve Multiobjective Optimization Problems Based on an Artificial Immune System, in Jonathan Timmis and Peter J. Bentley (editors), First International Conference on Artificial Immune Systems (ICARIS'2002), pp. 212--221, University of Kent at Canterbury, Inglaterra, ISBN 1-902671-32-5, September 2002.

  270. Carlos A. Coello Coello and Ricardo Landa Becerra. Evolutionary Multiobjective Optimization using a Cultural Algorithm, in 2003 IEEE Swarm Intelligence Symposium Proceedings, IEEE Service Center, pp. 6--13, Indianapolis, Indiana, USA, April 2003 .

  271. C. A. Coello Coello, G. Toscano Pulido and A. Hernández Aguirre. Multi-Objective Evolutionary Algorithms for Structural Optimization, in K.J. Bathe (editor), Computational Fluid and Solid Mechanics 2003. Proceedings of the Second MIT Conference on Computational Fluid and Solid Mechanics, Vol. 2, pp. 2244--2248, Elsevier, The Netherlands, June 2003 .

  272. Carlos A. Coello Coello and Margarita Reyes Sierra. A Coevolutionary Multi-Objective Evolutionary Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 1, pp. 482--489, IEEE Press, Canberra, Australia, December 2003 .

  273. Carlos A. Coello Coello.Evolutionary Multiobjective Optimization: Current and Future Challenges, in Jose Benitez, Oscar Cordon, Frank Hoffmann and Rajkumar Roy (editors), Advances in Soft Computing---Engineering, Design and Manufacturing, pp. 243--256, Springer-Verlag, ISBN 1-85233-755-9, September 2003 .

  274. Carlos A. Coello Coello and Margarita Reyes Sierra. A Study of the Parallelization of a Coevolutionary Multi-Objective Evolutionary Algorithm, in Raúl Monroy, Gustavo Arroyo-Figueroa, Luis Enrique Sucar and Humberto Sossa (eds), Proceedings of the Third Mexican International Conference on Artificial Intelligence (MICAI'2004), pp. 688--697, Springer Verlag, Lecture Notes in Artificial Intelligence Vol. 2972, April 2004.

  275. David A. Coley. Evolving Green Buildings, in Erick Cantú-Paz (editor), 2002 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 62--68, New York, July 2002.

  276. Y. Collette, P. Siarry, and H.-I. Wong. Multidimensional Data Representation Aimed at the Interpretation of Results from Multiobjective Optimization, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.

  277. Gualtiero Colombo and Christine Mumford. Comparing Algorithms, Representations and Operators for the Multi-Objective Knapsack Problem, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1268--1275, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.

  278. O. Cordón, F. Herrera, M.J. del Jesus and P. Villar. A Multiobjective Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy-Rule Based Classification Systems, in Joint 9th IFSA World Congress and 20th NAFIPS International Conference, Vol. 3, pp. 1253--1258, IEEE, 2001.

  279. Oscar Cordón, Enrique Herrera-Viedma and María Luque. Evolutionary Learning of Boolean Queries by Multiobjective Genetic Programming, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 710--719, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002.

  280. David W. Corne, Joshua D. Knowles and Martin J. Oates. The Pareto Envelope-based Selection Algorithm for Multiobjective Optimization, In Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, Xin Yao, Evelyne Lutton, J. J. Merelo and Hans-Paul Schwefel (editors), Proceedings of the Parallel Problem Solving from Nature VI Conference, pages 839--848. Springer, 2000

  281. David W. Corne, Nick R. Jerram, Joshua D. Knowles and Martin J. Oates, PESA-II: Region-based Selection in Evolutionary Multiobjective Optimization, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 283--290, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

  282. David W. Corne and Joshua D. Knowles. No Free Lunch and Free Leftovers Theorems for Multiobjective Optimisation Problems, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 327--341, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  283. David Corne and Joshua Knowles. Some Multiobjective Optimizers are Better than Others, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2506--2512, IEEE Press, Canberra, Australia, December 2003 .

  284. Lino Costa, Pedro Oliveira, Isabel N. Figueiredo and Rogério P. Leal.Compliance Minimization of a Composite Laminated Plate by Genetic Algorithms, In Proceedings of the European Conference on Computational Mechanics---ECCM'99, pp. 740--741, Munich, Germany, 1999 .

  285. Lino Costa, Pedro Oliveira, Isabel N. Figueiredo, Luís F. Roseiro and Rogério P. Leal.Structural Optimization of Laminated Plates with Genetic Algorithms, In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee, and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 621--627, San Francisco, California, 2000. Morgan Kaufmann.

  286. Lino Costa and Pedro Oliveira. An Elitist Genetic Algorithm for Multiobjective Optimization, in Jorge Pinho de Sousa (Editor), Proceedings of the 4th Metaheuristics International Conference---MIC 2001, pp. 205--209, Porto, Portugal, Program Operational Ciencia, Tecnologia, Inovaçao do Quadro Comunitário de Apoio III de Fundaçao para a Ciencia e Tecnologia, July 2001 .

  287. Lino Costa and Pedro Oliveira. An Evolution Strategy for Multiobjective Optimization, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 97--102, IEEE Service Center, Piscataway, New Jersey, May 2002.

  288. Mario Costa and Edmondo Minisci. MOPED: A Multi-objective Parzen-Based Estimation of Distribution Algorithm for Continuous Problems, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 252--266, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  289. Dan Costelloe, Peter Mooney and Adam Winstanley. Multi-Objective Optimisation and Dynamic Routing Algorithms in Transportation Networks, First International Conference on Geographic Information Science, Savannah, Georgia, October 2000.

  290. Dan Costelloe, Peter Mooney and Adam Winstanley. Multi-Objective Optimisation on Transportation Networks, Proceedings of 4th AGILE Conference, Brno, Czech Republic, April 2001.

  291. Peter Cowling, Nic Colledge, Keshav Dahal and Stephen Remde. The Trade Off Between Diversity and Quality for Multi-objective Workforce Scheduling, in Jens Gottlieb and Günther R. Raidl (editors), Evolutionary Computation in Combinatorial Optimization, 6th European Conference, EvoCOP 2006, pp. 13--24, Springer. Lecture Notes in Computer Science Vol. 3906, Budapest, Hungary, April 2006 .

  292. William A. Crossley. Genetic Algorithm Approaches for Multiobjective Design of Rotor Systems. In Proceedings of the 6th AIAA/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, pages 384-394, Bellevue, Washington, September 1996. AIAA Paper 96-4025.

  293. William A. Crossley. Genetic Algorithm with the Kreisselmeier-Steinhauser Function for Multiobjective Constrained Optimization of Rotor Systems. In AIAA 35th Aerospace Sciences Meeting and Exhibit, Reno, Nevada, January 1997. AIAA Paper 97-0080.

  294. Stephen R. Norris and William A. Crossley. Pareto-Optimal Controller Gains Generated by a Genetic Algorithm. In AIAA 36th Aerospace Sciences Meeting and Exhibit, Reno, Nevada, January 1998. AIAA Paper 98-0010.

  295. William A. Crossley, A. M. Cook, D. W. Fanjoy, and V. B. Venkayya. Using the Two-Branch Tournament Genetic Algorithm for Multiobjective Design. In AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Long Beach, California, April 1998. AIAA Paper 98-1914.

  296. Nareli Cruz Cortés and Carlos A. Coello Coello. Multiobjective Optimization Using Ideas from the Clonal Selection Principle, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 158--170, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003 .

  297. Nareli Cruz Cortés and Carlos A. Coello Coello. Using Artificial Immune Systems to Solve Optimization Problems, in Alwyn Barry (editor), 2003 Genetic and Evolutionary Computation Conference. Workshop Program, pp. 312--315, AAAI, Chicago, Illinois, USA, July 2003 .

  298. J.M. de la Cruz, B. de Andres-Toro, A. Herrán, E. Besada Porta and P. Fernandez Blanco. Multiobjective Optimization of the Transport in Oil Pipelines, in Proceedings of the 9th IEEE International Conference on Emerging Technologies and Factory Automation, pp. 566--573, Vol. 1, Lisbon, Portugal, September 2003.

  299. Xunxue Cui, Miao Li and Tingjian Fang. Study of Population Diversity of Multiobjective Evolutionary Algorithm Based on Immune and Entropy Principles, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 2, IEEE Service Center, Piscataway, New Jersey, pp. 1316--1321, May 2001

  300. A. Gaspar Cunha, Pedro Oliveira, and José A. Covas. Use of Genetic Algorithms in Multicriteria Optimization to Solve Industrial Problems. In Thomas Bäck, editor, Proceedings of the Seventh International Conference on Genetic Algorithms, pages 682-688, San Mateo, California, July 1997. Michigan State University, Morgan Kaufmann Publishers.

  301. A. Gaspar Cunha, Pedro Oliveira, and José A. Covas. Genetic Algorithms in Multiobjective Optimization Problems: An Application to Polymer Extrusion. In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pages 129-130, Orlando, Florida, July 1999.

  302. A. Gaspar-Cunha and J.A. Covas. A Real-World Test Problem for EMO Algorithms, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 752--766, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  303. António Gaspar-Cunha and José A. Covas. RPSGAe--Reduced Pareto Set Genetic Algorithm: Application to Polymer Extrusion, in Xavier Gandibleux, Marc Sevaux, Kenneth Sörensen and Vincent T'kindt (editors), Metaheuristics for Multiobjective Optimisation, pp. 221--249, Springer. Lecture Notes in Economics and Mathematical Systems Vol. 535, Berlin, 2004.

  304. Dragan Cvetkovic and Ian C. Parmee. Evolutionary design and multi-objective optimisation, In 6th European Congress on Intelligent Techniques and Soft Computing EUFIT'98, pages 397-401, Aachen, Germany, September 1998.

  305. Dragan Cvetkovic and Ian C. Parmee. Use of preferences for GA-based multi-objective optimisation, In Wolfgang Banzhaf, Jason Daida, Agoston E. Eiben, Max H. Garzon, Vasant Honavar, Mark Jakiela, and Robert E. Smith, editors, GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference, volume 2, pages 1504-1509, Orlando, Florida, USA, 1999. Morgan Kaufmann Publishers.

  306. Dragan Cvetkovic and Ian C. Parmee. Genetic algorithm-based multi-objective optimisation and conceptual engineering design, In Congress on Evolutionary Computation - CEC99, volume 1, pages 29-36, Washington D.C., USA, 1999. IEEE.

  307. Dragan Cvetkovic and Ian C. Parmee. Genetic algorithms based systems for conceptual engineering design, In U. Lindemann, H. Birkhofer, H. Meerkamm, and S. Vajna, editors, Proceedings of the 12th International Conference on Engineering Design ICED'99, volume 2, pages 1035-1038, München, Germany, August 1999. TU München.

  308. Dragan Cvetkovic and Ian C. Parmee. Designer's preferences and multi-objective preliminary design processes, In Ian C. Parmee, editor, Proceedings of the Fourth International Conference on Adaptive Computing in Design and Manufacture (ACDM'2000), pages 249-260. PEDC, University of Plymouth, UK, Springer London, 2000.

  309. Dragan Cvetkovic and Ian C. Parmee. Agent-based Support within an Interactive Evolutionary Design System, in I.C. Parmee (Editor), Proceedings of the Fifth International Conference on Adaptive Computing Design and Manufacture (ACDM 2002), pp. 355--367, Springer-Verlag, University of Exeter, Devon, UK, April 2002.

  310. P. Czyzak and A. Jaszkiewicz. The Multiobjective Metaheuristic Approach for Optimization of Complex Manufacturing Systems. In G. Fandel and T. Gal, editors, Multiple Criteria Decision Making. Proceedings of the XIIth International Conference, pages 591-592, Hagen, Germany, 1997. Springer-Verlag.

  311. P. Czyzak and A. Jaszkiewicz. Pareto Simulated Annealing. In G. Fandel and T. Gal, editors, Multiple Criteria Decision Making. Proceedings of the XIIth International Conference, pages 297-307, Hagen, Germany, 1997. Springer-Verlag.

    312. D

  312. Kuang Da and Zheng Jinhua. Strategies Based on Polar Coordinates to Keep Diversity in Multi-Objective Genetic Algorithm, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1276--1281, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.

  313. N. V. Dakev, J. F. Whidborne, and A. J. Chipperfield. ${H}_infty$ design of an EMS control system for a maglev vehicle using evolutionary algorithms. In Proceedings of the First IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems : Innovations and Applications, GALESIA'95, pages 226-231, Sheffield, U.K., 1995.

  314. N.V. Dakev, A.J. Chipperfield and P.J. Fleming. A General Approach for Solving Optimal Control Problems using Optimization Techniques, in IEEE International Conference on Systems, Man, and Cybernetics, Vol. 5, pp. 4503--4508, IEEE, 1995.

  315. N. V. Dakev, A. J. Chipperfield, J. F. Whidborne, and P. J. Fleming. An evolutionary algorithm approach for solving optimal control problems. In Proceedings of the 13th International Federation of Automatic Control (IFAC) World Congress, San Francisco, California, 1996.

  316. Salvatore D'Angelo and Edmondo Minisci. Multi-Objective Evolutionary Optimization of Subsonic Airfoils by Kriging Approximation and Evolution Control, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1262--1267, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.

  317. P. J. Darwen and X. Yao. A Dilemma for Fitness Sharing with a Scaling Function, In Proceedings of the Second IEEE International Conference on Evolutionary Computation, Piscataway, New Jersey, 1995. IEEE Press.

  318. Dipankar Dasgupta and Fabio A. González.Evolving Complex Fuzzy Classifier Rules Using a Linear Tree Genetic Representation, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 299--305, Morgan Kaufmann Publishers, San Francisco, California, July 2001.

  319. Dilip Datta and Kalyanmoy Deb. Design of optimum cross-sections for load-carrying members using multi-objective evolutionary algorithms, in Proceedings of the International Conference on Systemics, Cybernetics and Informatics (ICSCI), pp. 571--577, Hyberabad, India, 2005.

  320. R. O. Day, J. B. Zydallis and G. B. Lamont. Solving the Protein structure Prediction Problem through a Multi-Objective Genetic Algorithm, in Proceedings of IEEE/DARPA International Conference on Computational Nanoscience (ICCN'02), pp. 32--35, 2002.

  321. Richard O. Day, Mark P. Kleeman and Gary B. Lamont. Solving the Multi-objective Quadratic Assignment Problem using a fast messy Genetic Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 2277--2283, IEEE Press, Canberra, Australia, December 2003 .

  322. Richard O. Day, Mark P. Kleeman and Gary B. Lamont. Multi-Objective fast messy Genetic Algorithm Solving Deception Problems, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1502--1509, Portland, Oregon, USA, June 2004.

  323. Richard O. Day and Gary B. Lamont. Extended Multi-objective fast messy Genetic Algorithm Solving Deception Problems, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 296--310, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  324. Richard O. Day and Gary B. Lamont. Multiobjective Quadratic Assignment Problem Solved by an Explicit Building Block Search Algorithm - MOMGA-IIa, in Günther R. Raidl and Jens Gottlieb (editors), Evolutionary Computation in Combinatorial Optimization. 5th European Conference, EvoCOP 2005, pp. 91--100,Springer, Lecture Notes in Computer Science Vol. 3448, Lausanne, Switzerland, March/April 2005 .

  325. Richard O. Day and Gary B. Lamont. MOEA Design of Robust Digital Symbol Sets, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 2213--2214, Vol. 2, ACM Press, New York, USA, June 2005 .

  326. Richard O. Day and Gary B. Lamont. An Effective Explicit Building Block MOEA, the MOMGA-IIa, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 17--24, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  327. Kalyanmoy Deb. Solving Goal Programming Problems Using Multi-Objective Genetic Algorithms. In 1999 Congress on Evolutionary Computation, pages 77-84, Washington, D.C., July 1999. IEEE Service Center.

  328. Kalyanmoy Deb. Multi-objective Evolutionary Optimization: Past, Present and Future,In Ian C. Parmee, editor, Proceedings of the Fourth International Conference on Adaptive Computing in Design and Manufacture (ACDM'2000), pages 225-236. PEDC, University of Plymouth, UK, Springer London, 2000.

  329. Kalyanmoy Deb, Samir Agrawal, Amrit Pratab, and T. Meyarivan. A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II, In Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, Xin Yao, Evelyne Lutton, J. J. Merelo and Hans-Paul Schwefel (editors), Proceedings of the Parallel Problem Solving from Nature VI Conference, pages 849-858. Springer, 2000

  330. Kalyanmoy Deb, Amrit Pratab, and Subrajyoti Moitra. Mechanical Component Design for Multiple Objectives Using Elitist Non-dominated Sorting GA, In Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, Xin Yao, Evelyne Lutton, J. J. Merelo and Hans-Paul Schwefel (editors), Proceedings of the Parallel Problem Solving from Nature VI Conference, pages 859--868. Springer, 2000

  331. Kalyanmoy Deb, Lothar Thiele, Marco Laumanns and Eckart Zitzler. Scalable Multi-Objective Optimization Test Problems, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 825--830, IEEE Service Center, Piscataway, New Jersey, May 2002.

  332. Kalyanmoy Deb and Sachin Jain. Running Performance Metrics for Evolutionary Multi-Objective Optimization, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 13--20, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  333. Kalyanmoy Deb, Manikanth Mohan and Shikhar Mishra. Towards a Quick Computation of Well-Spread Pareto-Optimal Solutions, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 222--236, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  334. Kalyanmoy Deb, Pawan Zope and Abhishek Jain. Distributed Computing of Pareto-Optimal Solutions with Evolutionary Algorithms, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 534--549, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  335. Kalyanmoy Deb and Naveen Kumar Gupta. Optimal Operating Conditions for Overhead Crane Maneuvering Using Multi-objective Evolutionary Algorithms, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 1042--1053, Seattle, Washington, USA, June 2004.

  336. Kalyanmoy Deb, Kishalay Mitra, Rinku Dewri and Saptarshi Majumdar. Unveiling Optimal Operating Conditions for an Epoxy Polymerization Process Using Multi-objective Evolutionary Computation, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 920--931, Seattle, Washington, USA, June 2004.

  337. Kalyanmoy Deb and Santosh Tiwari. Omni-optimizer: A Procedure for Single and Multi-objective Optimization, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 47--61, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  338. Kalyanmoy Deb and Himanshu Gupta. Searching for Robust Pareto-Optimal Solutions in Multi-objective Optimization, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 150--164, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  339. Kalyanmoy Deb, Ankur Sinha and Saku Kukkonen. Multi-Objective Test Problems, Linkages, and Evolutionary Methodologies, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1141--1148, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  340. Kalyanmoy Deb, Shamik Chaudhuri and Kaisa Miettinen. Towards Estimating Nadir Objective Vector Using Evolutionary Approaches, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 643--650, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  341. Kalyanmoy Deb and J. Sundar. Reference Point Based Multi-Objective Optimization Using Evolutionary Algorithms, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 635--642, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  342. Kalyanmoy Deb and Aravind Srinivasan. Innovization: Innovating Design Principles Through Optimization, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1629--1636, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  343. Kalyanmoy Deb and Dhish Kumar Saxena. Searching for Pareto-optimal solutions through dimensionality reduction for certain large-dimensional multi-objective optimization problems, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3353--3360, IEEE, Vancouver, BC, Canada, July 2006 .

  344. Edwin D. de Jong, Richard A. Watson and Jordan B. Pollack.Reducing Bloat and Promoting Diversity using Multi-Objective Methods, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 11--18, Morgan Kaufmann Publishers, San Francisco, California, July 2001.

  345. Edwin D. de Jong. Representation Development from Pareto-Coevolution, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 262--273, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003 .

  346. Edwin D. de Jong and Jordan B. Pollack. Learning the Ideal Evaluation Function, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 274--285, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003 .

  347. Edwin D. de Jong. The Incremental Pareto-Coevolution Archive, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 525--536, Seattle, Washington, USA, June 2004.

  348. Edwin D. de Jong. Towards a Bounded Pareto-Coevolution Archive, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 2341--2348, Portland, Oregon, USA, June 2004.

  349. Edwin D. de Jong. Intransitivity in Coevolution, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 843--851, Birmingham, UK, September 2004.

  350. Bart De Smedt and Georges Gielen. HOLMES: Capturing the Yield-Optimized Design Space Boundaries of Analog and RF Integrated Circuits, in Norbert Wehn and Diederik Verkest (editors), Proceedings of Design, Automation and Test in Europe (DATE'03), pp. 256--261, Munich, Germany, IEEE, March 2003 .

  351. Venkat Devireddy and Patrick Reed. An Efficient Design Methodology for the Nondominated Sorted Genetic Algorithm-II, in James Foster (editors), 2003 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 67--71, AAAI, Chicago, Illinois, USA, July 2003.

  352. Venkat Devireddy and Patrick Reed. Efficient and Reliable Evolutionary Multiobjective Optimization Using epsilon-Dominance Archiving and Adaptive Population Sizing, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 390--391, Seattle, Washington, USA, June 2004.

  353. Dirk Devogelaere and Marcel Rijckaert. Scalars, A Way to Improve the Multi-Objective Prediction of the GAdC-Method, in Proceedings of the Sixth Brazilian Symposium on Neural Networks, pp. 56--60, 2000.

  354. Renio Díaz and Alejandro Rosete Suárez. A Study of the Capacity of the Stochastic Hill Climbing to Solve Multi-Objective Problems. In Proceedings of the Third International Symposium on Adaptive Systems--Evolutionary Computation and Probabilistic Graphical Models, Institute of Cybernetics, Mathematics and Physics, pages 37--40, Havana, Cuba, March 19-23 2001.

  355. Diego Sal Díaz and Manuel Graña Romay. Introducing a Watermarking with a Multi-Objective Genetic Algorithm, in Hans-Georg Beyer et al. (editors), Genetic and Evolutionary Computation Conference (GECCO'2005), Vol. 2, pp. 2219--2220, ACM Press, Washington DC, USA, June 2005 .

  356. Robert P. Dick and Niraj K. Jha. MOGAC: A Multiobjective Genetic Algorithm for the Co-Synthesis of Hardware-Software Embedded Systems, In IEEE/ACM Conference on Computer Aided Design, pages 522-529, Los Alamitos, California, 1997. IEEE Computer Society Press.

  357. Robert P. Dick and Niraj K. Jha. CORDS: Hardware-Software Co-Synthesis of Reconfigurable Real-Time Distributed Embedded Systems, In Proceedings of the International Conference on Computer-Aided Design, pages 62-68, November 1998.

  358. Robert P. Dick and Niraj K. Jha. MOCSYN: Multiobjective Core-Based Single-Chip System Synthesis, In Proc. Design, Automation and Test in Europe, pages 263-270, March 1999.

  359. C. Dimopoulos and A. M. S. Zalzala. Optimization of Cell Configuration and Comparisons using Evolutionary Computation Approaches, In David B. Fogel, editor, Proceedings of the 1998 International Conference on Evolutionary Computation, pages 148-153, Piscataway, New Jersey, 1998. IEEE.

  360. C. Dimopoulos and A. M. S. Zalzala. Evolutionary Computation Approaches to Cell Optimisation, In Ian Parmee, editor, The Integration of Evolutionary and Adaptive Computing Technologies with Product/System Design and Realisation, pages 69-83, Plymouth, United Kingdom, April 1998. Plymouth Engineering Design Centre, Springer-Verlag.

  361. Christos Dimopoulos. A Review of Evolutionary Multiobjective Optimization Applications in the Area of Production Research, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1487--1494, Portland, Oregon, USA, June 2004.

  362. C. Dimopoulos. A novel approach for the solution of the multiobjective cell-formation problem, in Proceedings of the International Conference of Production Research (ICPR '05), Salerno, Italy, August 2005 .

  363. C. Dimopoulos. A Genetic Programming methodology for the solution of the multi-objective cell-formation problem, in Proceedings of the Joint Conference in Information Systems (JCIS '05), pp.1487--1494, Salt Lake City, USA, July 2005 .

  364. C. Dimopoulos. Multiple Objectives in Cellular Manufacturing: An Evolutionary Approach, in I.C. Parmee (Editor), Adaptive Computing in Design and Manufacture 2006. Proceedings of the Seventh International Conference, pp. 91--95, The Institute for People-centred Computation, Bristol, UK, April 2006.

  365. Lixin Ding, Sanyou Zheng and Lishan Kang. A Fast Algorithm on Finding the Non-dominated Set in Multi-objective Optimization, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2565--2571, IEEE Press, Canberra, Australia, December 2003 .

  366. Karl Doerner, Walter J. Gutjahr, Richard F. Hartl, Christine Strauss and Christian Stummer. Ant Colony Optimization in Multiobjective Portfolio Selection, in Proceedings of the 4th Metaheuristics International Conference (MIC'2001), pp. 243--248, Porto, Portugal, July 2001.

  367. D. C. Donha, D. S. Desanj and M. R. Katebi. Genetic Algorithm for Weight Selection in $h_{infty}$ Control Design. In Thomas Bäck, editor, Proceedings of the Seventh International Conference on Genetic Algorithms, pages 599--606, San Mateo, California, July 1997. Michigan State University, Morgan Kaufmann Publishers.

  368. Yezid Donoso Meisel, Ramon Fabregat and Lluis Fàbrega, Multi-Objective Scheme over Multi-Tree Routing in Multicast MPLS Networks, in Proceedings of the IFIP/ACM Latin America Networking Conference 2003 (LANC03), ACM Press, La Paz,Bolivia, October 3-5, 2003 .

  369. Jason L. Dorn and S. Ranji Ranjithan. Evolutionary Multiobjective Optimization in Watershed Water Quality Management, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 692--706, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  370. Gerry V. Dozier, Shaun McCullough, Abdollah Homaifar, and Loretta Moore. Multiobjective Evolutionary Path Planning via Fuzzy Tournament Selection, In IEEE International Conference on Evolutionary Computation (ICEC'98), pages 684-689, Piscataway, New Jersey, May 1998. IEEE Press.

  371. Dragan Cvetkovic, Ian Parmee, and Eric Webb. Multi-objective Optimisation and Preliminary Airframe Design, In Ian Parmee, editor, The Integration of Evolutionary and Adaptive Computing Technologies with Product/System Design and Realisation, pages 255-267, Plymouth, United Kingdom, April 1998. Plymouth Engineering Design Centre, Springer-Verlag.

  372. Rolf Drechsler, Nicole Göckel, and Bernd Becker. Learning Heuristics for OBDD Minimization by Evolutionary Algorithms. In Parallel Problem Solving from Nature (PPSN'96), volume LNCS 1141, pages 730-739, Berlin, Germany, 1996. Springer-Verlag.

  373. Nicole Drechsler, Rolf Drechsler, and Bernd Becker. Multi-Objected Optimization in Evolutionary Algorithms Using Satisfyability Classes, In Bernd Reusch (editor), International Conference on Computational Intelligence, Theory and Applications, 6th Fuzzy Days, volume LNCS 1625, Dortmund, Germany, 1999. Springer-Verlag.

  374. Grzegorz Dobrowolski and Marek Kisiel-Dorohinicki, Management of evolutionary MAS for multiobjective optimization, in International Union of Theoretical and Applied Mechanics Symposium on Evolutionary Methods in Mechanics, pp. 17--18, Cracow, Poland, September 2002.

  375. T. Donateo, D. Laforgia, G. Aloisio and S. Mocavero. An Evolutionary Algorithm to design Diesel Engines, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 802--809, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  376. Rafal Drezewski and Leszek Siwik. Co-Evolutionary Multi-Agent System with Sexual Selection Mechanism for Multi-Objective Optimization, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 2784--2791, IEEE, Vancouver, BC, Canada, July 2006 .

  377. N.M. Duarte, A. E. Ruano, C.M. Fonseca, and P.J. Fleming. Accelerating Multi-Objective Control System Design Using a Neuro-Genetic Approach, In 2000 Congress on Evolutionary Computation, volume 1, pages 392-397, Piscataway, New Jersey, July 2000. IEEE Service Center.

  378. Susana Duarte Flores and Benjamín Barán Cegla. Multiobjective Network Design Optimisation Using Parallel Evolutionary Algorithms, in XXVII Conferencia Latinoamericana de Informática (CLEI'2001), Mérida, Venezuela, 2001.

  379. Els I. Ducheyne, Robert R. De Wulf and Bernard De Baets.Bi-objective genetic algorithm for forest management: a comparative study, Proceedings of the 2001 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 63--66, San Francisco, California, July 2001.

  380. Els I. Ducheyne, Bernard De Baets and Robert R. De Wulf.Is Fitness Inheritance Useful for Real-World Applications?, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 31--42, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  381. Jerzy Duda and Andrzej Osyczka. Multiple Criteria Lot-Sizing in a Foundry Using Evolutionary Algorithms, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 651--663, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  382. A. Duenas and N. Mort. A Genetic Algorithm for Multiobjective Optimisation using the interactive Sequential Multiobjective Problem Solving Method, Proceedings of the International Conference on Artificial Intelligence (IC-AI'2001), pp. 633--639, CSREA Press, Las Vegas, Nevada, June 2001.

  383. A. Duenas and N. Mort. A Multiobjective Optimiser with a Fuzzy Genetic Algorithm, IASTED International Conference on Artificial Intelligence and Applications (AIA'2001), pp. 191--197, ACTA Press, September 4-7, Marbella, Spain, 2001.

  384. A. Duenas, K. Best and N. Mort. Solving a Multiple Criteria Decision-Making Problem Under Uncertainty Using Protrade and @RISK 4.0, Advances in Fuzzy Systems and Evolutionary Computation, WSEAS Press, 2002.

  385. Hugo Duncan, Gerard Leconte and Peter Utiger. Using Genetic Algorithms in Industry -- Art or Science?, in Alwyn M. Barry (editor), GECCO 2002: Proceedings of the Bird of a Feather Workshops, Genetic and Evolutionary Computation Conference, pp. 211--214, AAAI, New York, July 2002.

  386. Enrique Dunn and Gustavo Olague. Multi-objective Sensor Planning for Efficient and Accurate Object Reconstruction, in Günther R. Raidl et al. (editors), Applications of Evolutionary Computing. Proceedings of Evoworkshops 2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC, Springer. Lecture Notes in Computer Science, Volume 3005, pp. 312--321, Coimbra, Portugal, April 2004.

  387. Enrique Dunn, Gustavo Olague, Evelyne Lutton and Marc Schoenauer. Pareto Optimal Sensing Strategies for an Active Vision System, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 457--463, Portland, Oregon, USA, June 2004.

    388. E

  388. R.M. Edwards and G.G. Cook. 3G Tri Band Probe Fed Printed Eccentric Spiral Antenna for Nomadic Wireless Devices Using Optimal Convergence for Pareto Ranked Genetic Algorithm, in Eleven International Conference on Antennas and Propagation, Vol. 2, IEEE, pp. 537--541, 2001.

  389. G.A. Efthimeros, D.I. Photeinos, I.G.Katsipou, Z.G. Diamantis and D.T. Tsahalis. Optimisation of an Industrial Cogeneration System by means of a Multi-Objective Genetic Algorithm, in Proceedings of the 10th European Symposium on Computer Aided Process Engineering, Florence, Italy, pp. 25--29, 2000.

  390. Toru Eguchi, Kotaro Hirasawa and Jinglu Hu. Symbiotic Evolutional Models in Multiagent Systems, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 739--746, IEEE Press, Canberra, Australia, December 2003 .

  391. Neil H. Eklund and Mark J. Embrechts. GA-Based Multi-Objective Optimization of Visible Spectra for Lamp Design. In Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark J. Embrechts, and Okan Ersoy, editors, Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Complex Systems, pages 451-456, New York, November 1999. ASME Press.

  392. Lionel Elliot, Derek B. Ingham, Adrian G. Kyne, Nicolae S. Mera, Mohamed Purkashanian and Chritopher W. Wilson. Optimisation of Reaction Mechanisms for Aviation Fuels Using a Multi-objective Genetic Algorithm, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 2046--2057, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003 .

  393. Khaled El-Rayes and Khalied Hyari. Automated DSS for Lighting Design of Nighttime Operations in Highway Construction Projects, in Proceedings of the 19th International Symposium on Automation and Robotics in Construction (ISARC), pp. 135--140, National Institute of Standards and Technology, Gaithersburg, Maryland, September 2002.

  394. T. A. Ely, W. A. Crossley, and E. A. Williams. Satellite Constellation Design for Zonal Coverage using Genetic Algorithms. In 8th AAS/AIAA Space Flight Mechanics Meeting, Monterey, California, February 1998.

  395. C. Emmanouilidis, A. Hunter, J. MacIntyre, and C. Cox. Selecting Features in Neurofuzzy Modelling by Multiobjective Genetic Algorithms, In 9th International Conference on Artificial Neural Networks, pp. 749--754, Volume 2, IEEE, Edinburgh, UK, September 1999.

  396. C. Emmanouilidis, A. Hunter, J. MacIntyre, and C. Cox. Multiple Criteria Genetic Algorithms for Feature Selection in Neurofuzzy Modeling, In 1999 International Joint Conference on Neural Networks, Vol. 6, pp. 4387--4392, Washington, D.C., July 1999.

  397. C. Emmanouilidis, A. Hunter, and J. MacIntyre. A Multiobjective Evolutionary Setting for Feature Selection and a Commonality-Based Crossover Operator, In 2000 Congress on Evolutionary Computation, volume 1, pages 309-316, Piscataway, New Jersey, July 2000. IEEE Service Center.

  398. Christos Emmanouilidis and Andrew Hunter. A Comparison of Crossover Operators in Neural Network Feature Selection with Multiobjective Evolutionary Algorithms, GECCO-2000 Workshop on Evolutionary Computation in the Development of Artificial Neural Networks, pp. 58--60, Las Vegas, Nevada, July 2000.

  399. Michael Emmerich and Boris Naujoks. Metamodel Assisted Multiobjective Optimisation Strategies and their Application in Airfoil Design, in I.C. Parmee (editor), Adaptive Computing in Design and Manufacture VI, pp. 249--260, Springer, London, 2004.

  400. Michael Emmerich, Nicola Beume and Boris Naujoks. An EMO Algorithm Using the Hypervolume Measure as Selection Criterion, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 62--76, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  401. Michael T.M. Emmerich and André H. Deutz. Test Problems Based on Lamé Superspheres, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 922--936, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  402. P. Engrand. A multi-objective optimization approach based on simulated annealing and its application to nuclear fuel management, in Proceedings of the Fifth International Conference on Nuclear Engineering, pp. 416--423, American Society of Mechanical Engineering, Nice, France, May 1997.

  403. Cagkan Erbas, Selin C. Erbas and Andy D. Pimentel. A Multiobjective Optimization Model for Exploring Multiprocessor Mappings of Process Networks, in First IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS'03), IEEE, pp. 182--187, Newport Beach, California, USA, October 2003.

  404. M. Erickson, A. S. Mayer, and J. Horn. Development of a Multi-Objective Optimization Framework for Groundwater Remediation Design Using the Niched-Pareto Genetic Algorithm. In EOS: Transactions of American Geophysical Union, pages F840-F843. Am. Geophys. Union, 1999.

  405. Henrik Esbensen and Ernest S. Kuh. Design space exploration using the genetic algorithm. In IEEE International Symposium on Circuits and Systems (ISCAS'96), pages 500-503, Piscataway, NJ, 1996. IEEE.

  406. Henrik Esbensen and Ernest S. Kuh. EXPLORER: An Interactive Floorplaner for Design Space Exploration. In Proceedings of the European Design Automation Conference, pages 356-361, 1996.

  407. Hamidreza Eskandari, Luis Rabelo and Mansooreh Mollaghasemi. Multiobjective Simulation Optimization Using an Enhanced Genetic Algorithm, in M.E. Kuhl, N.M. Steiger, F.B. Armstrong and J.A. Joines (editors), Proceedings of 2005 Winter Simulation Conference, pp. 833--841, Orlando, Florida, USA, December 4-7, 2005 .

  408. Susana C. Esquivel, Héctor A. Leiva, and Raúl H. Gallard. Multiplicity in Genetic Algorithms to face Multicriteria Optimization, In 1999 Congress on Evolutionary Computation, pages 85-90, Washington, D.C., July 1999. IEEE Service Center.

  409. Richard M. Everson, Jonathan E. Fieldsend and Sameer Singh. Full Elite Sets for Multi-Objective Optimisation, in I.C. Parmee (Editor), Proceedings of the Fifth International Conference on Adaptive Computing Design and Manufacture (ACDM 2002), pp. 343--354, Springer-Verlag, University of Exeter, Devon, UK, April 2002.

    410. F

  410. Ali Farhang-Mehr and Shapour Azarm. Diversity Assessment of Pareto Optimal Solution Sets: An Entropy Approach, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 723--728, IEEE Service Center, Piscataway, New Jersey, May 2002.

  411. A. Farhang-Mehr and S. Azarm. Minimal Sets of Quality Metrics, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 405--417, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  412. M. Farina, A. Bramanti and P. Di Barba. Combining Global and Local Search of Non-dominated Solutions in Inverse Electromagnetism, in K.C. Giannakoglou, D.T. Tsahalis, J. Periaux, K.D. Papailiou and T. Fogarty (editors), Proceedings of the EUROGEN'2001 Conference, pp. 196--201, International Center for Numerical Methods in Engineering (CIMNE), Barcelona, Spain, March 2001.

  413. M. Farina. A Neural Network Based Generalized Response Surface Multiobjective Evolutionary Algorithm, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 956--961, IEEE Service Center, Piscataway, New Jersey, May 2002.

  414. M. Farina and P. Amato. On the Optimal Solution Definition for Many-criteria Optimization Problems, in Proceedings of the NAFIPS-FLINT International Conference'2002, pp. 233--238, IEEE Service Center, Piscataway, New Jersey, June 2002.

  415. M. Farina and P. Amato. Fuzzy Optimality and Evolutionary Multiobjective Optimization, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 58--72, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  416. M. Farina, K. Deb and P. Amato. Dynamic Multiobjective Optimization Problems: Test Cases, Approximation, and Applications, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 311--326, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  417. Marco Farina and Massimiliano Gobbi. A fuzzy-optima definition based Multiobjective optimization of a racing car type-suspension system, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 9--16, Portland, Oregon, USA, June 2004.

  418. Luis Fernandes, Isabel Figueiredo, Joaquim Júdice, Lino Costa, and Pedro Oliveira, Application of Genetic Algorithms to Plate Optimization, In S.R. Idelshon, E. Oñate and E. Dvorkin (editors), Computational Mechanics, New Trends and Aplications, CIMNE, Barcelona, Spain, 1998.

  419. Jonathan E. Fieldsend and Sameer Singh, Pareto Multi-Objective Non-Linear Regression Modelling to Aid CAPM Analogous Forecasting, Proceedings of the IEEE/INNS Joint International Conference on Neural Networks (INCNN'02), World Congress on Computational Intelligence, Vol. 1, pp. 388--393, Honolulu, Hawaii, May 2002.

  420. Jonathan E. Fieldsend and Sameer Singh. A Multi-Objective Algorithm based upon Particle Swarm Optimisation, an Efficient Data Structure and Turbulence, Proceedings of the 2002 U.K. Workshop on Computational Intelligence, pages 37--44, Birmingham, UK, 2-4 September 2002.

  421. Jonathan E. Fieldsend and Richard M. Everson. ROC Optimisation of Safety Related Systems, in Proceedings of the First Workshop on ROC Analysis in AI, pp. 37--44, Valencia, Spain, August 2004.

  422. J.E. Fieldsend, J. Matatko and M. Peng. Cardinality constrained portfolio optimisation, in Z.R. Yang and R. Everson and H. Yin (editors), Proceedings of the Fifth International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'04), pp. 788--793, Springer-Verlag. Lecture Notes in Computer Science Vol. 3177, August 2004.

  423. Jonathan E. Fieldsend and Richard M. Everson. Multi-objective Optimisation in the Presence of Uncertainty, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 243--250, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  424. J.E. Fieldsend and R.M. Everson. Formulation and Comparison of Multi-Class ROC Surfaces, in Proceedings of the 2nd ROC Analysis in Machine Learning Workshop, part of the 22nd International Conference on Machine Learning (ICML 2005), pp. 41--48, Bonn, Germany, 2005.

  425. Cyril Fillon and Alberto Bartoli. Multi-objective Genetic Programming for Improving the Performance of TCP, in Marc Ebner, Michael O'Neill, Anikó Ekárt, Leonardo Vanneschi and Anna Isabel Esparcia-Alcázar (editors), Genetic Programming, 10th European Conference, EuroGP 2007, pp. 170--180, Springer. Lecture Notes in Computer Science Vol. 4445, Valencia, Spain, April 2007 .

  426. John H. Fisch, Yun Li, P.C. Kjaer, J.J. Gribble, and T.J.E. Miller. Pareto-Optimal Firing Angles for Switched Reluctance Motor Control, In Proceedings of the 2nd IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA'97), pages 1-6, Glasgow, Scotland, September 1997. IEE.

  427. Michelle J. Fisher, Jonathan E. Fieldsend and Richard M. Everson. Precision and Recall Optimisation for Information Access Tasks, in Proceedings of ROCAI 2004, part of the 16th European Conference on Artificial Intelligence, pp. 45--54, Valencia, Spain, August 2004.

  428. Seth L. Fleet, Kevin Flitt, Claire J. Kennedy. A Genetic Algorithm for Multi-Function Radar Task List Optimisation, in Alwyn Barry (editor), 2003 Genetic and Evolutionary Computation Conference. Workshop Program, pp. 196--201, AAAI, Chicago, Illinois, USA, July 2003 .

  429. M. Fleischer. The Measure of Pareto Optima. Applications to Multi-objective Metaheuristics, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 519--533, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  430. Mark Fleischer. Scale Invariant Pareto Optimality, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 233--240, Vol. 1, ACM Press, New York, USA, June 2005 .

  431. Peter Fleming. Designing Control Systems with Multiple Objectives, in IEE Colloquium on Advances in Control Technology, pp. 4/1--4/4, 1999.

  432. Peter Fleming, Robin C. Purshouse and Robert J. Lygoe. Many-Objective Optimization: An Engineering Design Perspective, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 14--32, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.

  433. Carlos M. Fonseca and Peter J. Fleming. Genetic Algorithms for Multiobjective Optimization: Formulation, Discussion and Generalization, In Stephanie Forrest, editor, Proceedings of the Fifth International Conference on Genetic Algorithms, pages 416-423, San Mateo, California, 1993. University of Illinois at Urbana-Champaign, Morgan Kauffman Publishers.

  434. C.M. Fonseca and P.J. Fleming. Multiobjective Genetic Algorithms, in IEE Colloquium on Genetic Algorithms for Control Systems Engineering, pp. 6/1--6/5, IEE, UK, 1993.

  435. C.M. Fonseca and P.J. Fleming. Multiobjective Optimal Controller Design with Genetic Algorithms, in International Conference on Control, Vol. 1, pp. 745--749, 1994.

  436. Carlos M. Fonseca and Peter J. Fleming. Multiobjective Genetic Algorithms Made Easy: Selection, Sharing, and Mating Restriction, In Proceedings of the First International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, pages 42-52, Sheffield, UK, September 1995. IEE.

  437. Carlos M. Fonseca and Peter J. Fleming. Nonlinear System Identification with Multiobjective Genetic Algorithms. In Proceedings of the 13th World Congress of the International Federation of Automatic Control, pages 187-192, San Francisco, California, 1996. Pergamon Press.

  438. Carlos M. Fonseca and Peter J. Fleming. On the Performance Assessment and Comparison of Stochastic Multiobjective Optimizers. In Hans-Michael Voigt, Werner Ebeling, Ingo Rechenberg, and Hans-Paul Schwefel, editors, Parallel Problem Solving from Nature--PPSN IV, Lecture Notes in Computer Science, pages 584-593, Berlin, Germany, September 1996. Springer-Verlag.

  439. Joao V. da Fonseca Neto and Celso P. Bottura. Parallel Genetic Algorithm Fitness Function Team for Eigenstructure Assignment via LQR, in 1999 Congress on Evolutionary Computation, Vol. 2, pp. 1035--1042, IEEE Service Center, Washington, DC, July 1999.

  440. Carlos M. Fonseca, Viviane Grunert da Fonseca and Luís Paquete. Exploring the Performance of Stochastic Multiobjective Optimisers with the Second-Order Attainment Function, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 250--264, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  441. Carlos M. Fonseca, Luís Paquete and Manuel López-Ibáñr;ez. An Improved Dimension-Sweep Algorithm for the Hypervolume Indicator, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3973--3979, IEEE, Vancouver, BC, Canada, July 2006 .

  442. Klebber T.M. Formiga, Fazal H. Chaufhry, Peter B. Cheung and Luisa F.R. Reis. Optimal Design of Water Distribution System by Multiobjective Evolutionary Methods, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 677--691, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  443. W. Fornaciari, P. Micheli, F.Salice, and L. Zampella. A First Step Towards Hw/Sw Partitioning of UML Specifications, in IEEE/ACM Design Automation and Test in Europe (DATE'03), pp. 668--673, IEEE, Munich, Germany, 3-7 March, 2003 .

  444. M. P. Fourman. Compaction of Symbolic Layout using Genetic Algorithms, In Genetic Algorithms and their Applications: Proceedings of the First International Conference on Genetic Algorithms, pages 141-153. Lawrence Erlbaum, 1985.

  445. Domonique Francisci and Martine Collard. Multi-Criteria Evaluation of Interesting Dependencies according to a Data Mining Approach, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1568--1574, IEEE Press, Canberra, Australia, December 2003 .

  446. Fabio Freschi and Maurizio Repetto. Multiobjective Optimization by a Modified Artificial Immune System Algorithm, in Christian Jacob, Marcin L. Pilat, Peter J. Bentley and Jonathan Timmis (editors), Artificial Immune Systems. 4th International Conference, ICARIS 2005, pp. 248--261, Springer. Lecture Notes in Computer Science Vol. 3627, Banff, Canada, August 2005.

  447. Liu Fu, Jintu Fan, Li Yuanchun, Tian Yantao and Dai Yisong. Study and Application of a Constrained Multi-Objective Optimization Algorithm , in Proceedings of the IEEE International Vehicle Electronics Conference, Vol. 1, pp. 305--307, 1999.

  448. K. Fujita, Multi-objective optimal design of automotive engine using genetic algorithm, In Proceedings of DETC'98 - ASME Design Engineering Technical Conferences, page 11, 1998.

  449. Joanne Fuller, William Millan and Ed Dawson. Multi-objective Optimisation of Bijective S-Boxes, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1525--1532, Portland, Oregon, USA, June 2004.

  450. Pablo Funes, Eric Bonabeau, Jérôme Hervé and Yves Morieux. Interactive Multi-Participant Tour Allocation, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1699--1705, Portland, Oregon, USA, June 2004.

  451. Tomonari Furukawa, Shinobu Yoshimura and Genki Yagawa. Weightless Regularised Identification Using Multi-objective Optimisation Method, in Proceedings of the 3rd International Conference on Inverse Problems in Engineering. Inverse Problems in Engineering: Theory and Practice, pp. 1--8, ASME Press, Port Ludlow, Washington, June 1999.

  452. Tomonari Furukawa, Shinobu Yoshimura and Hiroshi Kawai. Human-like Optimization---A Novel Technique for Computational Design, in H.A. Mang, F.G. Rammerstorfer and J. Eberhardsteiner (eds), Proceedings of the Fifth World Congress on Computational Mechanics (WCCM V), Vienna University of Technology, Vienna, Austria, July 2002.

    453. G

  453. Louis Gacôgne. Research of Pareto Set by Genetic Algorithm, Application to Multicriteria Optimization of Fuzzy Controller,In 5th European Congress on Intelligent Techniques and Soft Computing EUFIT'97, pages 837-845, Aachen, Germany, September 1997.

  454. Louis Gacôgne. Multiple Objective Optimization of Fuzzy Rules for Obstacles Avoiding by an Evolution Algorithm with Adaptative Operators, In Proceedings of the Fifth International Mendel Conference on Soft Computing (Mendel'99), pages 236-242, Brno, Czech Republic, June 1999.

  455. C. Gagné, M. Gravel, and W. Price. Scheduling a single machine where setup times are sequence dependent using an ant-colony heuristic. In Abstract Proceedings of ANTS'2000, pages 157-160, Brussels, Belgium, September 2000.

  456. Thierry Galinho, Alain Cardon, and Jean-Philippe Vacher. Genetic Integration in a Multiagent System for Job-Shop Scheduling. In Helder Coelho, editor, Progress in Artificial Intelligence--IBERAMIA'98, pages 76-87, Lisbon, Portugal, October 1998. Springer-Verlag.

  457. Xavier Gandibleux, Hiroyuki Morita and Naoki Katoh. Use of a Genetic Heritage for Solving the Assignment Problem with Two Objectives, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 43--57, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  458. Xavier Gandibleux and Matthias Ehrgott. 1984-2004 -- 20 Years of Multiobjective Metaheuristics. But What About the Solution of Combinatorial Problems with Multiple Objectives?, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 33--46, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  459. K. N. Rao and S. Ganesan. ASIC benchmarking using Niched Pareto Genetic Algorithm. In Proceedings of International ICSC Symposia on Soft Computing (SOCO 96), pages B32-38, United Kingdom, October 1996.

  460. Carlos García-Martinez, Oscar Cordón and Francisco Herrera. An Empirical Analysis of Multiple Objective Ant Colony Optimization Algorithms for the Bi-criteria TSP, in Marco Dorigo, Mauro Birattari, Christian Blum, Luca M. Gambardella, Francesco Mondada and Thomas Stützle (editors), Proceedings of the 4th International Workshop on Ant Colony Optimization and Swarm Intelligence, ANTS 2004, Belgium, Springer, Lecture Notes in Computer Science, Vol. 3172, pp. 61--72, 2004.

  461. Joost Garen. A Genetic Algorithm for Tackling Multiobjective Job-Shop Scheduling Problems, in Xavier Gandibleux, Marc Sevaux, Kenneth Sörensen and Vincent T'kindt (editors), Metaheuristics for Multiobjective Optimisation, pp. 201--219, Springer. Lecture Notes in Economics and Mathematical Systems Vol. 535, Berlin, 2004.

  462. Deon Garrett and Dipankar Dasgupta. Analyzing the Performance of Hybrid Evolutionary Algorithms for the Multiobjective Quadratic Assignment Problem, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 6174--6181, IEEE, Vancouver, BC, Canada, July 2006 .

  463. Cícero Garrozi and Aluizio Gausto Ribeiro Araújo. Multiobjective Genetic Algorithm for Multicast Routing, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 8682--8689, IEEE, Vancouver, BC, Canada, July 2006 .

  464. Martin J. Geiger. MOOPPS: An Optimization System for Multi Objective Production Scheduling, in MIC'2005. The 6th Metaheuristics International Conference, pp. 403--408, Vienna, Austria, August 2005.

  465. Mitsuo Gen, Kenichi Ida, and Jongryul Kim. A Spanning Tree-Based Genetic Algorithm for Bicriteria Topological Network Design, In Proceedings of the 5th IEEE Conference on Evolutionary Computation, pages 15-20, Piscataway, New Jersey, 1998. IEEE Press.

  466. Mitsuo Gen and Yin-Zhen Li. Solving Multi-Objective Transportation Problems by Spanning Tree-based Genetic Algorithm. In Ian Parmee, editor, The Integration of Evolutionary and Adaptive Computing Technologies with Product/System Design and Realisation, pages 95-108, Plymouth, United Kingdom, April 1998. Plymouth Engineering Design Centre, Springer-Verlag.

  467. K. Ghali and O. Hammami. Embedded Processor Characteristics Specification Through Multiobjective Evolutionary Algorithms, in Proceedings of the IEEE International Symposium on Industrial Electronics (ISIE'03), Vol. 2, pp. 907--912, IEEE, June, 2003 .

  468. Oliver Giel. Expected Runtimes of a Simple Multi-objective Evolutionary Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1918--1925, IEEE Press, Canberra, Australia, December 2003 .

  469. Oliver Giel and Per Kristian Lehre. On the Effect of Populations in Evolutionary Multi-objective Optimization, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 651--658, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  470. A. P. Giotis and K. C. Giannakoglou. Single- and Multi-Objective Airfoil Design Using Genetic Algorithms and Artificial Intelligence, In Kaisa Miettinen, Marko M. Mäkelä, Pekka Neittaanmäki, and Jacques Periaux, editors, Proceedings of EUROGEN'99, Jyväskylä, Finland, 30 May-6 June 1999. University of Jyváskylä.

  471. Tushar Goel and Kalyanmoy Deb. Hybrid Methods for Multi-Objective Evolutionary Algorithms, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 188--192, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  472. C. Goh and Y. Li. Multi-Objective Synthesis of CMOS Operational Amplifiers using a Hybrid Genetic Algorithm in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 214--218, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  473. C. K. Goh and K. C. Tan. Noise Handling in Evolutionary Multi-Objective Optimization, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 4497--4504, IEEE, Vancouver, BC, Canada, July 2006 .

  474. Elizabeth F.G. Goldbarg, Givenaldo R. de Souza and Marco C. Goldbarg. Particle Swarm Optimization for the Bi-objective Degree-constrained Minimum Spanning Tree, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 1527--1534, IEEE, Vancouver, BC, Canada, July 2006 .

  475. Igor E. Golovkin, Roberto C. Mancini, Sushil J. Louis, Richard W. Lee, and Lewis Klein. Multi-criteria Search and Optimization: an Application to X-ray Plasma Spectroscopy, In 2000 Congress on Evolutionary Computation, volume 2, pages 1521-1527, Piscataway, New Jersey, July 2000. IEEE Service Center.

  476. Igor E. Golovkin, Sushil J. Louis, and Roberto C. Mancini. Parallel Implementation of Niched Pareto Genetic Algorithm Code for X-ray Plasma Spectroscopy. In Late Breaking Papers at the 2000 Genetic and Evolutionary Computation Conference, pages 222-227, Las Vegas, Nevada, July 2000.

  477. Igor E. Golovkin, Sushil J. Louis and Roberto C. Mancini. Parallel Implementation of Niched Pareto Genetic Algorithm Code for X-ray Plasma Spectroscopy, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1820--1824, IEEE Service Center, Piscataway, New Jersey, May 2002

  478. Antonio F. Gómez-Skarmeta, Fernando Jiménez, and Jesús Ibáñez. Pareto-optimality in Fuzzy Modeling, In 6th European Congress on Intelligent Techniques and Soft Computing EUFIT'98, pages 694-700, Aachen, Germany, September 1998.

  479. Alvaro Gomes, Carlos Henggeler Antunes and Antonio Gomes Martins. Dealing with solution diversity in an EA for multiple objective decision support - A case study, in Jens Gottlieb and Günter R. Raidl (editors), Evolutionary Computation in Combinatorial Optimization, Proceedings of the 4th European Conference, EvoCOP 2004, Springer, pp. 104--113, Lecture Notes in Computer Science, Vol. 3004, April 2004.

  480. Maoguo Gong, Licheng Jiao, Haifeng Du, Ronghua Shang and Bin Lu. Performance Assessment of an Artificial Immune System Multiobjective Optimizer by Two Improved Metrics, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 373--374, Vol. 1, ACM Press, New York, USA, June 2005 .

  481. D.W. Gong, Y. Zhang and J.H. Zhang. Multi-objective particle swarm optimization based on minimal particle angle, in Advances in Intelligent Computing, Pt 1, Proceedings, pp. 571--580, Springer-Verlag, Lecture Notes in Computer Science Vol. 3644, 2005.

  482. J. González, I. Rojas, H. Pomares and J. Ortega. RBF Neural Networks, Multiobjective Optimization and Time Series Forecasting, in José Mira and Alberto Prieto (editors), Bio-inspired Applications of Connectionism, 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, pp. 498--505, Springer-Verlag. Lecture Notes in Computer Science Vol. 2084, Granada, Spain, June 2001.

  483. L.F. González, E.J. Whitney, K. Srinivas, K.C. Wong and J. Périaux, Multidisciplinary Aircraft Conceptual Design Optimisation Using a Hierarchical Asynchronous Parallel Evolutionary Algorithm (HAPEA), in I.C. Parmee (editor), Adaptive Computing in Design and Manufacture VI, pp. 273--284, Springer, London, 2004.

  484. Ofelia Gonzalez, Coromoto Leon, Gara Miranda, Casiano Rodriguez and Carlos Segura. A Parallel Skeleton for the Strength Pareto Multiobjective Evolutionary Algorithm 2, in Proceedings of 15th EUROMICRO International Conference on Parallel, Distributed and Network-Based Processing (PDP'07), pp. 434--441, IEEE Computer Society, February 2007 .

  485. Deepak Gopinath, Yogendra K. Joshi and Shapour Azarm. Multi-Objective Placement Optimization of Power Electronic Devices on Liquid Cooled Heat Sinks, in Proceedings of the Seventeenth Annual IEEE Symposium on Semiconductor Thermal Measurement and Management, pp. 117--119, IEEE, 2001.

  486. Gary R. Greenfield. Evolving Aesthetic Images using Multiobjective Optimization, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1903--1909, IEEE Press, Canberra, Australia, December 2003 .

  487. Garrison W. Greenwood, Xiaobo Sharon Hu, and Joseph G. D'Ambrosio. Fitness Functions for Multiple Objective Optimization Problems: Combining Preferences with Pareto Rankings. In Richard K. Belew and Michael D. Vose, editors, Foundations of Genetic Algorithms 4, pages 437-455, San Mateo, California, 1997. Morgan Kaufmann.

  488. David Greiner, Blas Galván and Gabriel Winter. Safety Systems Optimum Design by Multicriteria Evolutionary Algorithms, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 722--736, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  489. D. Greiner, G. Winter and J.M. Emperador. Searching for an Efficient Method in Multiobjective Frame Optimisation using Evolutionary Algorithms, in K.J. Bathe (editor), Computational Fluid and Solid Mechanics 2003. Proceedings of the Second MIT Conference on Computational Fluid and Solid Mechanics, Vol. 2, pp. 2285--2290, Elsevier, The Netherlands, June 2003 .

  490. David Greiner, Gabriel Winter, José M. Emperador and Blas Galván. Gray Coding in Evolutionary Multicriteria Optimization: Application in Frame Structural Optimum Design, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 576--591, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  491. L.A. Griffin, A.J. Chipperfield, P.J. Fleming, C. Davies and N. Grum. Active magnetic bearing control system testing and validation using a multiobjective algorithm, in 26th Annual Conference of the IEEE Industrial Electronics Society, Vol. 3, pp. 1675--1679, IEEE, 2000.

  492. Pierre Grignon, J. Wodziack, and G. M. Fadel. Bi-Objective optimization of components packing using a genetic algorithm, In NASA/AIAA/ISSMO Multidisciplinary Design and Optimization Conference, pages 352-362, Seattle, Washington, September 1996. AIAA-96-4022-CP.

  493. Pierre Grignon and G. M. Fadel. Quality Criteria for Multi-objective optimization solutions obtained with a Genetic Algorithm. In 38Th AIAA/ASME/ASCE/AHS/ASC SDM conference, Orlando, Florida, April 1997. AIAA-97-1658.

  494. Pierre Grignon and G. M. Fadel. Bi-objective Optimization by Iterative Genetic Algorithms. In EURO-INFORMS conference, Barcelona, Spain, July 1997.

  495. Pierre Grignon and Georges M. Fadel. Multiobjective optimization by iterative genetic algorithm, In Proceedings of DETC'99 - ASME Design Engineering Technical Conferences, Las Vegas, Nevada, September 1999.

  496. Pierre Grignon and Georges M. Fadel. Configuration design optimization method, In Proceedings of DETC'99 - ASME Design Engineering Technical Conferences, Las Vegas, Nevada, September 1999.

  497. Christian Grimme and Karlheinz Schmitt. Inside a Predator-Prey Model for Multi-Objective Optimization: A Second Study, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 707--714, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  498. Christian Grimme and Joachim Lepping. Designing Multi-objective Variation Operators Using a Predator-Prey Approach, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 21--35, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  499. J.C.J. Groot, W.A.H. Rossing, A. Jellema and M.K. Van Ittersum. Landscape design and agricultural land-use allocation using Pareto-based multi-objective Differential Evolution, in International Environmental Modelling & Software Summit, Burlington, Vermont, USA, July 2006.

  500. Crina Grosan. A new evolutionary technique for detecting Pareto continuous regions, in Alwyn Barry (editor), 2003 Genetic and Evolutionary Computation Conference. Workshop Program, pp. 304--307, AAAI, Chicago, Illinois, USA, July 2003.

  501. Crina Grosan. Improving the Performance of Evolutionary Algorithms for the Multiobjective 0/1 Knapsack Problem using epsilon-dominance, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1958--1963, Portland, Oregon, USA, June 2004.

  502. Crina Grosan and Ajith Abraham. Ensemble of Genetic Programming Models for Designing Reactive Power Controllers, in Nadia Nedjah, Luiza M. Mourelle, Marley M.B.R. Vellasco, Ajith Abraham and Mario Köppen (editors), Fifth International Conference on Hybrid Intelligent Systems (HIS'05), pp. 277--282, IEEE Computer Society, Los Alamitos, California, USA, November 2005.

  503. Laurent Grosset, Satchi Venkataraman and Raphael T. Haftka. Genetic optimization of two-material composite laminates, in Proceedings of the American Society of Composites-16th Annual Technical Conference, September 9-12, 2001, Blacksburg, VA.

  504. Darko Grundler. Multiobjective Optimization of Heat Transfer Plant using Decision Table Controller and Genetic Algorithm, In 2000 Congress on Evolutionary Computation, volume 1, pages 517-521, San Diego, California, July 2000. IEEE Service Center.

  505. Ângela Guimarães Pereira, Robert J. Peckham, and M. Paula Antunus. GENET: A Method to Generate Alternatives for Facilities Siting using Genetic Algorithms. In Janjaap Harts, Henk F. L. Ottens, and Henk J. Scholten, editors, Fourth European Conference and Exhibition on Geographical Information Systems (EGIS'93), pages 973-981, Genoa, Italy, March 29-April 1 1993.

  506. Ângela Guimarães Pereira. Generating Alternative Routes using Genetic Algorithms and Multi-Criteria Analysis Techniques. In Ray Wyatt and Hemayet Hossain, editors, Fourth International Conference on Computers in Urban Planning and Urban Management), pages 547-560, Melbourne, Australia, July 11-14 1995.

  507. S. Gunawan, A. Farhang-Mehr and S. Azarm. Multi-level Multi-objective Genetic Algorithm Using Entropy to Preserve Diversity, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 148--161, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  508. Michael Guntsch and Martin Middendorf. Solving Multi-criteria Optimization Problems with Population-Based ACO, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 464--478, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  509. Xiuping Guo, Genke Yang and Zhiming Wu. A Hybrid Self-adjusted Memetic Algorithm for Multi-objective Optimization, in Alexander Gelbukh, Álvaro de Albornoz and Hugo Terashima-Marín (editors), MICAI 2005: Advances in Artificial Intelligence, Springer, pp. 663--672, Lecture Notes in Artificial Intelligence Vol. 3789, Monterrey, México, November 2005 .

  510. Himanshu Gupta and Kalyanmoy Deb. Handling Constraints in Robust Multi-Objective Optimization, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 25--32, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  511. Walter J. Gutjahr. Two Metaheuristics for Multiobjective Stochastic Combinatorial Optimization, in O.B. Lupanov, O.M. Kasim-Zade, A.V. Chaskin and K. Steinhoefl (editors), Stochastic Algorithms: Foundations and Applications, SAGA 2005, Proceedings, pp. 116--125, Springer. Lecture Notes in Computer Science Vol. 3777, Moscow, Russia, October 2005.

  512. H. Altay Güvenir. A Genetic Algorithm for Multicriteria Inventory Classification,In D.W. Pearson, N.C. Steele, and R.F. Albrecht, editors, Artificial Neural Nets and Genetic Algorithms. Proceedings of the International Conference, pages 6-9, Wien, April 1995. Springer-Verlag.

    513. H

  513. O.C.L. Haas, K.J. Burnham and J.A. Mills. Hybrid Optimisation Technique for Radiotherapy Treatment Planning, in Proceedings of the 1998 IEEE International Conference on Control Applications, Vol. 1, pp. 368--372, Trieste, Italy, September 1998.

  514. P. Haastrup and Â. Guimarães Pereira. Exploring the Use of Multi-Objective Genetic Algorithms for Reducing Traffic Generated Urban Air and Noise Pollution. In Proceedings of the 5th European Congress on Intelligent and Soft Computing, pages 819-825, Aachen, Germany, September 1997.

  515. A. Hadi and F. Rashidi. Design of optimal power distribution networks using multiobjective genetic algorithm, KI 2005: Advances in Artificial Intelligence, Springer, pp. 203--215, Lecture Notes in Artificial Intelligence Vol. 3698, 2005 .

  516. Song Yop Hahn. Application of Vector Optimization Employing Modified Genetic Algorithm to Permanent Magnet Motor Design. In Proceedings of the IEEE Conference on Electromagnetic Field Computation, pages 0D1-7, Okayama, Japan, 1996. IEEE Press.

  517. P. Hajela and J. Yoo. GA Based Fuzzy Optimization for Non-Convex Pareto Surfaces, 2001 Genetic and Evolutionary Computation Conference. Workshop Program, San Francisco, California, pp. 85--90, July 2001 .

  518. Mohammed Hakim Mabed, Malek Rahoual, El-Ghazali Talbi, and Clarisse Dhaenens. Using Genetic Algorithms to schedule multicriteria Flow-shop, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.

  519. Werner Halter and Sanaz Mostaghim. Bilevel Optimization of Multi-Component Chemical Systems Using Particle Swarm Optimization, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 4383--4390, IEEE, Vancouver, BC, Canada, July 2006 .

  520. Hatem Hamda, Olga Roudenko and Marc Schoenauer. Multi-Objective Evolutionary Topological Optimum Design, in I.C. Parmee (Editor), Proceedings of the Fifth International Conference on Adaptive Computing Design and Manufacture (ACDM 2002), pp. 121--132, Springer-Verlag, University of Exeter, Devon, UK, April 2002.

  521. Nasreddine Hallam, Peter Blanchfield, and Graham Kendall. Handling Diversity in Evolutionary Multiobjective Optimisation, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2233--2240, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.

  522. Karim Hamza, Juan F. Reyes-Luna and Kazuhiro Saitou. Simultaneous Assembly Planning and Assembly System Design Using Multi-objective Genetic Algorithms, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 2096--2108, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003 .

  523. Karim Hamza and Kazuhiro Saitou. Optimization of Constructive Solid Geometry Via a Tree-Based Multi-objective Genetic Algorithm, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 981--992, Seattle, Washington, USA, June 2004.

  524. Sang-Il Han, Itsuya Muta, Tsutomu Hoshino and Taketsune Nakamura. Multiobjective Optimal Design of Superconducting Generator Using Genetic Algorithm, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 178--182, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  525. Zhen Xue Han, Leon Xu, Ren Wei, Bo Ping Wang and Tommi Reinikainen. Reliability-Based Design Optimization for Land Grid Array Solder Joints Under Thermo-Mechanical Load, in Proceedings of the 5th International Conference on Thermal and Mechanical Simulation and Experiments in Microelectronics and Microsystems (EuroSimE 2004), IEEE, pp. 219--224, May 2004.

  526. Lixia Han and Yuping Wang. A Novel Genetic Algorithm for Multi-criteria Minimum Spanning Tree Problem, in Yue Hao et al. (editors), Computational Intelligence and Security.International Conference, CIS 2005, pp. 297--302, Springer, Lecture Notes in Artificial Intelligence Vol. 3801, Xi'an, China, December 2005.

  527. Julia Handl and Joshua Knowles. Evolutionary Multiobjective Clustering, in Xin Yao et al. (editors), Parallel Problem Solving from Nature (PPSN VIII), pp. 1081--1091, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, Berlin, September 2004.

  528. Julia Handl and Joshua Knowles. Exploiting the Trade-Off---The Benefits of Multiple Objectives in Data Clustering, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 547--560, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  529. Julia Handl and Joshua Knowles. Multiobjective clustering around medoids, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 632--639, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  530. Julia Handl and Joshua Knowles. Improvements to the scalability of multiobjective clustering, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2372--2379, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.

  531. Julia Handl and Joshua Knowles. On Semi-Supervised Clustering via Multiobjective Optimization, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1465--1472, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  532. Julia Handl and Joshua Knowles. Semi-supervised feature selection via multiobjective optimization, in 2006 International Joint Conference on Neural Networks (IJCNN'2006), pp. 6351--6358, IEEE, Vancouver, BC, Canada, July 2006.

  533. Thomas Hanne. Concepts of a learning objected-oriented problem solver LOOPS. In Proceedings of the 12th International Conference on Multiple Criteria Decision Making, Springer-Verlag, pp. 330--339, 1995.

  534. Michael Pilegaard Hansen. Tabu Search in Multiobjective Optimisation : MOTS. In Proceedings of MCDM'97, Cape Town, South Africa, January 1997.

  535. Ken Harada, Jun Sakuma and Shigenobu Kobayashi. Local Search for Multiobjective Function Optimization: Pareto Descent Method, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 659--666, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  536. Ken Harada, Kokolo Ikeda and Shigenobu Kobayashi. Hybridizing of Genetic Algorithm and Local Search in Multiobjective Function Optimization: Recommendation of GA then LS, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 667--674, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  537. Ken Harada, Jun Sakuma, Isao Ono and Shigenobu Kobayashi. Constraint-Handling Method for Multi-objective Function Optimization: Pareto Descent Repair Operator, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 156--170, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  538. Stephen P. Harris and Emmanuel C. Ifeachor. Nonlinear FIR Filter Design by Genetic Algorithm, In 1st Online Conference on Soft Computing, August 1996.

  539. John W. Hartmann, Victoria L. Coverstone-Carroll, and Steven N. Williams. Optimal Interplanetary Spacecraft Trajectories Via A Pareto Genetic Algorithm. In AAS/AIAA Space Flight Mechanics Meeting, Monterey, California, February 1998. Paper No. AAS-98-202.

  540. Martina Hasenjäger, Bernhard Sendhoff, Toyotaka Sonoda and Toshiyuki Arima. Three Dimensional Evolutionary Aerodynamic Design Optimization with CMA-ES, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 2173--2180, Vol. 2, ACM Press, New York, USA, June 2005 .

  541. Martina Hasenjäger and Bernhard Sendhoff. Crawling Along the Pareto Front: Tales From the Practice, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 174--181, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  542. Toshiharu Hatanaka and Nobuhiko Kondo and Katsuji Uosaki. Multi-Objective Structure Selection for Radial Basis Function Networks Based on Genetic Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 1095--1100, IEEE Press, Canberra, Australia, December 2003 .

  543. Iason Hatzakis and David Wallace. Dynamic Multi-Objective Optimization with Evolutionary Algorithms: A Forward-Looking Approach, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1201--1208, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  544. Christian Haubelt, Sanaz Mostaghim, Jürgen Teich and Ambrish Tyagi. Solving Hierarchical Optimization Problems Using MOEAs, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 162--176, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  545. Christian Haubelt, Jürgen Gamenik and Jürgen Teich. Initial Population Construction for Convergence Improvement of MOEAs, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 191--205, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.

  546. Tim Hendtlass. WoSP: A Multi-Optima Particle Swarm Algorithm, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 727--734, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  547. Augusto Hermosilla and Benjamín Barán. Comparación de un sistema de colonias de hormigas y una estrategia evolutiva para un Problema Multiobjetivo de Ruteo de Vehículos con Ventanas de Tiempo, in Mauricio Solar, David Fernández-Baca and Ernesto Cuadros-Vargas (editors), 30ma Conferencia Latinoamericana de Informática (CLEI2004), pp. 379--388, Sociedad Peruana de Computación, September 2004, ISBN 9972-9876-2-0 (In Spanish).

  548. Arturo Hernández Aguirre, Salvador Botello Rionda, Giovanni Lizárraga Lizárraga and Carlos A. Coello Coello. IS-PAES: A Constraint-Handling Technique Based on Multiobjective Optimization Concepts, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 73--87, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  549. Arturo Hernández Aguirre, Salvador Botello Rionda, Carlos A. Coello Coello, and Giovanni Lizárraga Lizárraga. Use of Multiobjective Optimization Concepts to Handle Constraints in Single-Objective Optimization, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 573--584, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003 .

  550. Alfredo G. Hernández-Díaz, Luis V. Santana-Quintero, Carlos Coello Coello, Rafael Caballero and Julián Molina, A New Proposal for Multi-Objective Optimization using Differential Evolution and Rough Sets Theory, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 675--682, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  551. Alberto Herreros, Enrique Baeyens, and José R. Perán. Design of Multiobjective Robust Controllers Using Genetic Algorithms, In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pages 131-132, Orlando, Florida, July 1999.

  552. Alberto Herreros, Enrique Baeyens, and José R. Perán. MRCD (Multiobjective Robust Controller Design) Genetic Algorithm: Mechanics and Evaluation, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.

  553. Mark Hinchliffe, Mark Willis, and Ming Tham. Chemical Process Systems Modelling using Multi-Objective Genetic Programming. In John R. Koza, Wolfgang Banzhaf, Kumar Chellapilla, Kalyanmoy Deb, Marco Dorigo, David B. Fogel, Max H. Garzon, David E. Goldberg, Hitoshi Iba, and Rick L. Riolo, editors, Proceedings of the Third Annual Conference on Genetic Programming, pages 134-139, San Mateo, California, July 1998. University of Wisconsin at Madison, Morgan Kaufmann Publishers.

  554. Tomoyuki Hiroyasu, Mitsunori Miki, and Shinya Watanabe. Distributed Genetic Algorithms with a New Sharing Approach in Multiobjective Optimization Problems, In 1999 Congress on Evolutionary Computation, pages 69-76, Washington, D.C., July 1999. IEEE Service Center.

  555. Tomoyuki Hiroyasu, Mitsunori Miki, and Shinya Watanabe. Divided Range Genetic Algorithms in Multiobjective Optimization Problems. In Proceedings of International Workshop on Emergent Synthesis, pages 57-66, Kobe, Japan, December 1999.

  556. Tomoyuki Hiroyasu, Mitsunori Miki, and Shinya Watanabe. The New Model of Parallel Genetic Algorithm in Multi-Objective Optimization Problems--Divided Range Multi-Objective Genetic Algorithm--, In 2000 Congress on Evolutionary Computation, volume 1, pages 333-340, Piscataway, New Jersey, July 2000. IEEE Service Center.

  557. Tomoyuki Hiroyasu, Mitsunori Miki, Seiichi Nakayama and Yoshiko Hanada. Multi-Objective Optimization of Diesel Engine Emissions and Fuel Economy Using SPEA2+, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 2195--2196, Vol. 2, ACM Press, New York, USA, June 2005 .

  558. Tomoyuki Hiroyasu, Seiichi Nakayama and Mitsunori Miki. Comparison Study of SPEA2+, SPEA2, and NSGA-II in Diesel Engine Emissions and Fuel Economy Problem, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 236--242, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  559. Shinn-Ying Ho and Xiao-I Chang. An Efficient Generalized Multiobjective Evolutionary Algorithm, In Wolfgang Banzhaf, Jason Daida, Agoston E. Eiben, Max H. Garzon, Vasant Honavar, Mark Jakiela, and Robert E. Smith, editors, GECCO-99: Proceedings of the Genetic and Evolutionary Computation Conference, volume 1, pages 871--878, Orlando, Florida, USA, 1999. Morgan Kaufmann Publishers .

  560. S.J. Ho, W.Y. Ku, J.W. Jou, M.H. Hung and S.Y. Ho. Intelligent particle swarm optimization in multi-objective problems, in Advances in Knowledge Discovery and Data Mining, pp. 790--800, Springer. Lecture Notes in Artificial Intelligence Vol. 3918, 2006 .

  561. Tim Hohm and Daniel Hoffmann. A Multi-Objective Evolutionary Approach to Peptide Structure Redesign and Stabilization, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 423--429, Vol. 1, ACM Press, New York, USA, June 2005 .

  562. Meng Hongyun and Liu Sanyang. ISPEA: Improvement for the Strength Pareto Evolutionary Algorithm for Multiobjective Optimization with Immunity, in Proceedings of the Fifth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'03), pp. 368--372, IEEE Computer Society, September 2003.

  563. Hirosuke Horii, Mitsunori Miki, Takayuki Koizumi and Nobuyoshi Tsujiuchi. Asynchronous Migration of Island Parallel GA for Multi-Objective Optimization Problem, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 86--90, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  564. Jeffrey Horn, Nicholas Nafpliotis, and David E. Goldberg. A Niched Pareto Genetic Algorithm for Multiobjective Optimization, In Proceedings of the First IEEE Conference on Evolutionary Computation, IEEE World Congress on Computational Intelligence, volume 1, pages 82-87, Piscataway, New Jersey, June 1994. IEEE Service Center.

  565. Jeffrey Horn. Niche Distributions on the Pareto Optimal Front, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 365--375, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  566. Jeffrey Horn and James Cattron. The Paradox of the Plankton: Oscillations and Chaos in Multispecies Evolution, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 298--309, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003 .

  567. Jeffrey Horn. Shape Nesting by Coevolving Species, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 557--558, Vol. 1, ACM Press, New York, USA, June 2005 .

  568. Xiabo Sharon Hu, Garrison Greenwood and Joseph G. D'Ambrosio. An Evolutionary Approach to Hardware/Software Partitioning, In Hans-Michael Voigt, Werner Ebeling, Ingo Rechenberg and Hans-puter Science No. 1141, pp. 900--909, September 1996.

  569. Xiaohui Hu and Russell Eberhart. Multiobjective Optimization Using Dynamic Neighborhood Particle Swarm Optimization, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1677--1681, IEEE Service Center, Piscataway, New Jersey, May 2002

  570. Jianjun Hu, Kisung Seo, Shaobo Li, Zhun Fan, Ronald C. Rosenberg and Erik D. Goodman. Structure Fitness Sharing (SFS) for Evolutionary Design by Genetic Programming, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 780--787, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  571. Xiaohui Hui, Russell C. Eberhart and Yuhui Shi. Particle Swarm with Extended Memory for Multiobjective Optimization, in 2003 IEEE Swarm Intelligence Symposium Proceedings, IEEE Service Center, pp. 193--197, Indianapolis, Indiana, USA, April 2003 .

  572. Jianjun Hu, Kisung Seo, Zhun Fan, Ronald C. Rosenberg and Erik D. Goodman. HEMO: A Sustainable Multi-objective Evolutionary Optimization Framework, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 1029--1040, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003 .

  573. Xiaolin Hu, Zhangcan Huang and Zhongfan Wang. Hybridization of the Multi-Objective Evolutionary Algorithms and the Gradient-based Algorithms, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 870--877, IEEE Press, Canberra, Australia, December 2003 .

  574. Jianjun Hu and Erik Goodman. Robust and Efficient Genetic Algorithms with Hierarchical Niching and a Sustainable Evolutionary Computation Model, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 1220--1232, Seattle, Washington, USA, June 2004.

  575. Jianjun Hu and Erik Goodman. Wireless Access Point Configuration by Genetic Programming, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 1178--1184, Portland, Oregon, USA, June 2004.

  576. Xiaolin Hu, Zhongfan Wang and Lianying Liao. Multi-Objective Optimization of HEV Fuel Economy and Emissions using Evolutionary Computation, in Proceedings of the Society of Automotive Engineering World Congress 2004, Electronics Simulation and Optimization (SP-1856), pp. 117--128, Society of Automotive Engineers, Detroit, Michigan, USA, March 2004.

  577. Simon Huband, Phil Hingston, Lyndon White and Luigi Barone. An Evolution Strategy with Probabilistic Mutation for Multi-Objective Optimisation, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 2284--2291, IEEE Press, Canberra, Australia, December 2003 .

  578. Simon Huband, Luigi Barone, Lyndon While and Phil Hingston. A Scalable Multi-objective Test Problem Toolkit, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 280--295, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  579. Simon Huband, Luigi Barone, Philip Hingston, Lyndon While, David Tuppurainen, and Richard Bearman. Designing Comminution Circuits with a Multi-Objective Evolutionary Algorithm, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1815--1822, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.

  580. Robert Hubley, Eckart Zitzler, Andew F. Siegel and Jared Roach. Multiobjective Genetic Marker Selection, in Advances in Nature-Inspired Computation: The PPSN VII Workshops, pp. 32--33, Reading, UK, September 2002.

  581. Evan J. Hughes. Constraint Handling With Uncertain and Noisy Multi-Objective Evolution, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 2, IEEE Service Center, Piscataway, New Jersey, pp. 963--970, May 2001.

  582. Evan J. Hughes. Multi-Objective Evolutionary Guidance for Swarms, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1127--1132, IEEE Service Center, Piscataway, New Jersey, May 2002.

  583. E.J. Hughes, A. Tsourdos and B.A. White. Multiobjective design of a fuzzy controller for a nonlinear missile autopilot, in IEEE International Symposium on Computer Aided Control System Design, pp. 15--20, IEEE, Glasgow, Scotland, September 2002.

  584. Evan J. Hughes. Multi-objective Binary Search Optimisation, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 102--117, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003.

  585. Evan J. Hughes, Antonios Tsourdos and Brian A. White. Multi-Objective Fuzzy Design of a Lateral Autopilot For a Quasi-Linear Parameter Varying Missile, in IFAC International Conference on Intelligent Control Systems and Signal Processing (ICONS'03), Faro, Portugal, April 2003 .

  586. Evan J. Hughes. Multiple Single Objective Pareto Sampling, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2678--2684, IEEE Press, Canberra, Australia, December 2003 .

  587. Evan J. Hughes. Swarm Guidance using a Multi-Objective Co-evolutionary On-Line Evolutionary Algorithm, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 2357--2363, Portland, Oregon, USA, June 2004.

  588. Evan J. Hughes. Evolutionary Many-Objective Optimisation: Many Once or One Many?, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 222--227, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  589. Andrew Hunter. Using Multiobjective Genetic Programming to Infer Logistic Polynomial Regression Models, in F. van Harmelen (editor), Proceedings of the 15th European Conference on Artificial Intelligence (ECAI'2002), pp. 193--197, IOS Press, Lyon, France, July 2002.

  590. X.H. Huo, L.C. Shen and H.Y. Zhu. A smart particle swarm optimization algorithm for multi-objective problems, Computational Intelligence and Bioinformatics, Part 3, pp. 72--80, Springer-Verlag, Lecture Notes in Computer Science Vol. 4115, 2006 .

  591. Phil Husbands. Distributed Coevolutionary Genetic Algorithms for multi-Criteria and Multi-Constraint Optimisation, In T. Fogarty, editor, Evolutionary Computing. ASB Workshop. Selected Papers, Lecture Notes in Computer Science Vol. 865, pages 150-165. Springer Verlag, 1994.

  592. Talib Hussain, David Montana and Gordon Vidaver. Evolution-Based Deliberative Planning for Cooperating Unmanned Ground Vehicles in a Dynamic Environment, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 1017--1029, Seattle, Washington, USA, June 2004.

  593. M.I. Hussein, K. Hamza, G.M. Hulbert, R.A. Scott and K. Saitou. Design of Layered Structures with Desired Dispersion Properties Using a Multiobjective Genetic Algorithm, in Proceedings of the Cairo University of Mechanical Design and Production, MDP-8, Cairo University, pp. 41--50, Cairo, Egypt, January 2004.

  594. K. W. Hutchinson, David S. Todd, and Pratyush Sen. An Evolutionary Multiple Objective Strategy for the Optimisation of Made-To-Order Products with special reference to the Conceptual Design of High Speed Mono Hull Roll-On/Roll-Off Passenger Ferries. In Fast Sea Transportation, FAST 98, Freemantle, Australia, November 1998.

    595. I

  595. Kenichi Ida, Mitsuo Gen, and Yin-Zhen Li. Solving Multiobjective Chance-constrained Solid Transportation Problem by Evolutionary Computation. In 5th European Congress on Intelligent Techniques and Soft Computing EUFIT'97, pages 743-747, Aachen, Germany, September 1997.

  596. Christian Igel. Multi-objective Model Selection for Support Vector Machines, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 534--546, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  597. Beatriz de la Iglesia, Mark S. Philpott, Anthony J. Bagnall and Vic J. Rayward-Smith. Data Mining Using Multi-Objective Evolutionary Algorithms, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1552--1559, IEEE Press, Canberra, Australia, December 2003 .

  598. Beatriz de la Iglesia, Alan Reynolds and Vic J Rayward-Smith. Developments on a Multi-objective Metaheuristic (MOMH) Algorithm for Finding Interesting Sets of Classification Rules, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 826--840, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  599. Hitoshi Iima, Nobuo Sannomiya and Makoto Wakasugi. Genetic Algorithm Approach to Production Ordering Problems with Inconsistent Constraints, in IEEE International Symposium on Industrial Electronics, Vol. 2, pp. 703--708, 1998.

  600. H. Iima, R. Nakase and N. Sannomiya. Genetic algorithm approach to a multiobjective rescheduling problem in a job shop, in Proceedings of the 1st Multidisciplinary International Conference on Scheduling: Theory and Applications, pp. 422--437, The University of Nottingham, UK, August 2003.

  601. Hitoshi Iima. Proposition of Selection Operation in a Genetic Algorithm for a Job Shop Rescheduling Problem, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 721--735, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  602. Ilkka Ikonen, William E. Biles, Anup Kumar, John C. Wissel, and Rammohan K. Ragade. Genetic Algorithm for Packing Three-Dimensional Non-Convex Objects Having Cavities and Holes, In Proceedings of the 7th International Conference on Genetic Algortithms, pages 591-598, East Lansing, Michigan, July 1997. Morgan Kaufmann Publishers.

  603. Antony W. Iorio and Xiaodong Li. A Cooperative Coevolutionary Multiobjective Algorithm Using Non-dominated Sorting, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 537--548, Seattle, Washington, USA, June 2004.

  604. Antony W. Iorio and Xiaodong Li. Solving rotated multi-objective optimization problems using differential evolution, in AI 2004: Advances in Artificial Intelligence, Proceedings, pp. 861--872, Springer-Verlag, Lecture Notes in Artificial Intelligence Vol. 3339, 2004.

  605. Antony W. Iorio and Xiaodong Li. Rotated Test Problems for Assessing the Performance of Multi-objective Optimization Algorithms, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 683--690, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  606. Antony W. Iorio and Xiaodong Li. Incorporating Directional Information within a Differential Evolution Algorithm for Multi-objective Optimization, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 691--697, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  607. M.G. Ippolito, E. Riva Sanseverino and F. Vuinovich. Multiobjective Ant Colony Search Algorithm For Optimal Electrical Distribution System Strategical Planning, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1924--1931, Portland, Oregon, USA, June 2004.

  608. P. Isasi, A. Sanchis, J.M. Molina and A. Berlanga. Hierarchical Genetic Algorithms for Composite Laminate Panels Stress Optimisation, in IEEE International Conference on Systems, Man, and Cybernetics, Vol. 4, pp. 447--451, 1999.

  609. Hiroyuki Ishibashi, Hernán E. Aguirre, Kiyoshi Tanaka and Tatsuo Sugimura. Multi-objective Optimization with Improved Genetic Algorithm, in 2000 International Conference on Systems, Man, and Cybernetics, Vol. 5, pp. 3852--3857, IEEE Press, 2000.

  610. Hisao Ishibuchi, Tadahiko Murata, and I. B. Tursken. Selecting Linguistic Classification Rules by Two-Objective Genetic Algorithms. In Proceedings of the 1995 IEEE International Conference on Systems, Man and Cybernetics, pages 1410-1415, Vancouver, Canada, October 1995. IEEE.

  611. Hisao Ishibuchi and Tadahiko Murata. Multi-Objective Genetic Local Search Algorithm. In Toshio Fukuda and Takeshi Furuhashi, editors, Proceedings of the 1996 International Conference on Evolutionary Computation, pages 119-124, Nagoya, Japan, 1996. IEEE.

  612. Hisao Ishibuchi and Tadahiko Murata. Minimizing the Fuzzy Rule and Maximizing Its Performance by a Multi-Objective Genetic Algorithm, In Proceedings of the 6th International Conference on Fuzzy Systems, pages 259-264, Barcelona, Spain, July 1997.

  613. Hisao Ishibuchi and Tadahiko Murata. Multi-Objective Genetic Local Search for Minimizing the Number of Fuzzy Rules for Pattern Classification Problems. In Proceedings of the 6th IEEE International Conference on Fuzzy Systems, pages 1100-1105, Alaska, USA, May 1998.

  614. Hisao Ishibuchi and Tomoharu Nakashima. Evolution of Reference Sets in Nearest Neighbor Classification. In B. McKay, X. Yao, C. S. Newton, J.-H. Kim, and T. Furuhashi, editors, Simulated Evolution and Learning. Second Asia-Pacific Conference on Simulated Evolution and Learning, SEAL'98, Canberra, Australia, 1998. Lecture Notes in Computer Science 1585, Springer-Verlag.

  615. Hisao Ishibuchi, Tomoharu Nakashima, and Tetsuya Kuroda. A Hybrid Fuzzy GBML Algorithm for Designing Compact Fuzzy Rule-Based Classification Systems. In Proceedings of 9th IEEE International Conference on Fuzzy Systems, pages 706-711, San Antonio, Texas, May 7-10 2000.

  616. Hisao Ishibuchi, Tomoharu Nakashima, and Tetsuya Kuroda. Minimizing the Number of Fuzzy Rules by Fuzzy Genetics-Based Machine Learning for Pattern Classification Problems. In Proceedings of the 8th Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, pages 96-103, Madrid, Spain, July 3-7 2000.

  617. Hisao Ishibuchi and Tomoharu Nakashima. Linguistic Rule Extraction by Genetics-Based Machine Learning. In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee, and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 195--202, San Francisco, California, 2000. Morgan Kaufmann.

  618. Hisao Ishibuchi and Tomoharu Nakashima. Multi-Objective Pattern and Feature Selection by a Genetic Algorithm. In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee, and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 1069-1076, San Francisco, California, 2000. Morgan Kaufmann.

  619. Hisao Ishibuchi and Tomoharu Nakashima. Three-Objective Optimization in Linguistic Function Approximation, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, IEEE Service Center, Piscataway, New Jersey, pp. 340--347, May 2001 .

  620. Hisao Ishibuchi and Takashi Yamamoto. Fuzzy Rule Selection by Data Mining Criteria and Genetic Algorithms, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 399--406, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  621. Hisao Ishibuchi, Tadashi Yoshida and Tadahiko Murata. Balance between Genetic Search and Local Search in Hybrid Evolutionary Multi-Criterion Optimization Algorithms, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 1301--1308, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  622. Hisao Ishibuchi, Tadashi Yoshida and Tadahiko Murata. Selection of Initial Solutions for Local Search in Multiobjective Genetic Local Search, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 950--955, IEEE Service Center, Piscataway, New Jersey, May 2002

  623. Hisao Ishibuchi and Tadashi Yoshida. Implementation of Local Search in Hybrid Multi-Objective Genetic Algorithms: A Case Study on Flowshop Scheduling, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 193--197, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  624. Hisao Ishibuchi and Youhei Shibata. An Empirical Study on the Effect of Mating Restriction on the Search Ability of EMO Algorithms, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 433--447, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  625. Hisao Ishibuchi and Takashi Yamamoto. Effects of Three-Objective Genetic Rule Selection on the Generalization Ability of Fuzzy Rule-Based Systems, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 608--622, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  626. Hisao Ishibuchi and Youhei Shibata. A Similarity-Based Mating Scheme for Evolutionary Multiobjective Optimization, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 1065--1076, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003 .

  627. Hisao Ishibuchi and Takashi Yamamoto. Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 1077--1088, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003 .

  628. Hisao Ishibuchi and Shiori Kaige. Comparison of Multiobjective Memetic Algorithms on 0/1 Knapsack Problems, in Alwyn Barry (editor), 2003 Genetic and Evolutionary Computation Conference. Workshop Program, pp. 222--227, AAAI, Chicago, Illinois, USA, July 2003 .

  629. Hisao Ishibuchi and Shiori Kaige. Effects of Repair Procedures on the Performance of EMO Algorithms for Multiobjective 0/1 Knapsack Problems, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4 pp. 2254--2261, IEEE Press, Canberra, Australia, December 2003 .

  630. Hisao Ishibuchi and Kaname Narukawa. Some Issues on the Implementation of Local Search in Evolutionary Multiobjective Optimization, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 1246--1258, Seattle, Washington, USA, June 2004.

  631. Hisao Ishibuchi and Youhei Shibata. Mating Scheme for Controlling the Diversity-Convergence Balance for Multiobjective Optimization, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 1259--1271, Seattle, Washington, USA, June 2004.

  632. Hisao Ishibuchi and Kaname Narukawa. Performance Evaluation of Simple Multiobjective Genetic Local Search Algorithms on Multiobjective 0/1 Knapsack Problems, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 441--448, Portland, Oregon, USA, June 2004.

  633. Hisao Ishibuchi and Satoshi Namba. Evolutionary Multiobjective Knowledge Extraction for High-Dimensional Pattern Classification Problems, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 1123--1132, Birmingham, UK, September 2004.

  634. Hisao Ishibuchi and Kaname Narukawa. Recombination of Similar Parents in EMO Algorithms, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 265--279, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  635. Hisao Ishibuchi, Shiori Kaige and Kaname Narukawa. Comparison Between Lamarckian and Baldwinian Repair on Multiobjective 0/1 Knapsack Problems, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 370--385, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  636. Hisao Ishibuchi and Kaname Narukawa. Spatial Implementation of Evolutionary Multiobjective Algorithms with Partial Lamarckian Repair for Multiobjective Knapsack Problems, in Nadia Nedjah, Luiza M. Mourelle, Marley M.B.R. Vellasco, Ajith Abraham and Mario Köppen (editors), Fifth International Conference on Hybrid Intelligent Systems (HIS'05), pp. 265--207, IEEE Computer Society, Los Alamitos, California, USA, November 2005 .

  637. Hisao Ishibuchi and Yusuke Nojima. Performance Evaluation of Evolutionary Multiobjective Approaches to the Design of Fuzzy Rule-Based Ensemble Classifiers, in Nadia Nedjah, Luiza M. Mourelle, Marley M.B.R. Vellasco, Ajith Abraham and Mario Köppen (editors), Fifth International Conference on Hybrid Intelligent Systems (HIS'05), pp. 271--276, IEEE Computer Society, Los Alamitos, California, USA, November 2005 .

  638. Hisao Ishibuchi and Kaname Narukawa. Comparison of Evolutionary Multiobjective Optimization with Reference Solution-Based Single-Objective Approach, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 787--794, Vol. 1, ACM Press, New York, USA, June 2005 .

  639. Hisao Ishibuchi, Kaname Narukawa and Yusuke Nojima. An Empirical Study on the Handling of Overlapping Solutions in Evolutionary Multiobjective Optimization, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 817--824, Vol. 1, ACM Press, New York, USA, June 2005.

  640. Hisao Ishibuchi, Yusuke Nojima, Kaname Narukawa and Tsutomo Doi. Incorporation of Decision Maker's Preferences into Evolutionary Multiobjective Optimization Algorithms, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 741--742, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  641. Hisao Ishibuchi, Yusuke Nojima and Isao Kuwajima. Multiobjective Genetic Rule Selection as a Data Mining Postprocessing Procedure, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1591--1592, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  642. Hisao Ishibuchi, Yusuke Nojima and Tsutomu Doi. Comparison between Single-Objective and Multi-Objective Genetic Algorithms: Performance Comparison and Performance Measures, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3959--3966, IEEE, Vancouver, BC, Canada, July 2006 .

  643. Hisao Ishibuchi, Yusuke Nojima and Isao Kuwajima. Finding simple fuzzy classification systems with high interpretability through multiobjective rule selection, in Knowledge-Based Intelligent Information and Engineering Systems, Pt 2, Proceedings, pp. 86--93, Springer, Lecture Notes in Artificial Intelligence Vol. 4252, 2006.

  644. Hisao Ishibuchi and Yusuke Nojima. Optimization of Scalarizing Functions Through Evolutionary Multiobjective Optimization, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 51--65, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  645. R. S. H. Istepanian and J. F. Whidborne. Multi-objective design of finite word-length controller structures, In 1999 Congress on Evolutionary Computation, pages 61-68, Washington, D.C., July 1999. IEEE Service Center.

  646. Y. Itoh, C. Liu, and A. Hammad. Optimizing Rehabilitation Plan of Concrete Bridge Decks Using Multi-Objective Genetic Algorithm. In Optimization in Industry, pages 115-120. American Society of Mechanical Engineers, 1997.

    647. J

  647. Daniel Jaeggi, Chris Asselin-Miller, Geoff Parks, Timoleon Kipouros, Theo Bell and John Clarkson. Multi-objective Parallel Tabu Search, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 732--741, Birmingham, UK, September 2004.

  648. Daniel Jaeggi, Geoff Parks, Timoleon Kipouros and John Clarkson. A Multi-objective Tabu Search Algorithm for Constrained Optimisation Problems, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 490--504, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  649. W. Jakob, M. Gorges-Schleuter, and C. Blume. Application of Genetic Algorithms to task planning and learning. In R. Männer and B. Manderick, editors, Parallel Problem Solving from Nature, 2nd Workshop, Lecture Notes in Computer Science, pages 291-300, Amsterdam, 1992. North-Holland Publishing Company.

  650. Ahmad Jan, Masahito Yamamoto, and Azuma Ohuchi. Evolutionary Algorithms for Nurse Scheduling Problem, In 2000 Congress on Evolutionary Computation, volume 1, pages 196-203, Piscataway, New Jersey, July 2000. IEEE Service Center.

  651. S. Janson and D. Merkle. A new multi-objective particle swarm optimization algorithm using clustering applied to automated docking, Hybrid Metaheuristics, Proceedings, Springer, Lecture Notes in Computer Science Vol. 3636, pp. 128--142, 2005 .

  652. C. H. Jarvis, N. Stuart, K. Kelsey, and R. H. A. Baker. Towards a Methodology for Selecting a ``characteristic'' Sample from an Existing Database: An Evolutionary Approach. In Third International Conference/Workshop on Integrating GIS and Environmental Modeling, Santa Fe, New Mexico, January 1996. National Center for Geographic Information and Analysis.

  653. Andrzej Jaszkiewicz. On the computational effectiveness of multiple objective metaheuristics, In Proceedings of the Fourth International Conference on Multi-Objective Programming and Goal Programming MOPGP'00. Theory & Applications, Berlin-Heidelberg, May 29-June 1 2000. Springer-Verlag.

  654. Andrzej Jaszkiewicz. Evaluation of Multiple Objective Metaheuristics, in Xavier Gandibleux, Marc Sevaux, Kenneth Sörensen and Vincent T'kindt (editors), Metaheuristics for Multiobjective Optimisation, pp. 65--89, Springer. Lecture Notes in Economics and Mathematical Systems Vol. 535, Berlin, 2004.

  655. Adel Jedidi, Alexandre Caminada and Gerd Finke. 2-Objective Optimization of Cells Overlap and Geometry with Evolutionary Algorithms, in Günther R. Raidl et al. (editors), Applications of Evolutionary Computing. Proceedings of Evoworkshops 2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC, Springer. Lecture Notes in Computer Science, Volume 3005, pp. 130--139, Coimbra, Portugal, April 2004.

  656. Mikkel T. Jensen. Guiding Single-Objective Optimization Using Multi-objective Methods, in Günther Raidl et al. (editors), Applications of Evolutionary Computing. Evoworkshops 2003: EvoBIO, EvoCOP, EvoIASP, EvoMUSART, EvoROB, and EvoSTIM, pp. 199--210, Springer. Lecture Notes in Computer Science Vol. 2611, Essex, UK, April 2003 .

  657. Min Joong Jeong, Takashi Kobayashi and Shinobu Yoshimura. Extraction of Design Characteristics of Multiobjective Optimization--Its Application to Design of Artificial Satellite Heat Pipe, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 561--575, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  658. Shinkyu Jeong and Shigeru Obayashi. Efficient Global Optimization (EGO) for Multi-Objective Problem and Data Mining, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2138--2145, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.

  659. Zhaowang Ji, Anthony Chen and Kitti Subprasom. Finding Multi-Objective Paths in Stochastic Networks: A Simulation-based Genetic Algorithm Approach, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 174--180, Portland, Oregon, USA, June 2004 .

  660. Yi-Min Jiang, Tak K. Young and Kwang-Ting Cheng. VIP-An Input Pattern Generator for Identifying Critical Voltage Drop for Deep Sub-Micron Designs, in Proceedings of the 1999 International Symposium on Low Power Electronics and Design, pp. 156--161, IEEE, 1999.

  661. Xuan Jiang, Deepti Chafekar and Khaleed Rasheed. Constrained Multi-Objective GA Optimization Using Reduced Models, in Alwyn Barry (editor), 2003 Genetic and Evolutionary Computation Conference. Workshop Program, pp. 174--177, AAAI, Chicago, Illinois, USA, July 2003.

  662. Licheng Jiao, Maoguo Gong, Ronghua Shang, Haifeng Du and Bin Lu. Clonal Selection with Immune Dominance and Anergy Based Multiobjective Optimization, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 474--489, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  663. Fernando Jiménez and José L. Verdegay. Interval multiobjective solid transportation problem via genetic algorithms (IPMU'96), In Proceedings of Information Processing and Management of Uncertainty in Knowledge-Based Systems, pages 787-792, Granada, Spain, 1996.

  664. Fernando Jiménez and José L. Verdegay. Constrained multiobjective optimization by evolutionary algorithms, In Proceedings of the International ICSC Symposium on Engineering of Intelligent Systems (EIS'98), pages 266-271, University of La Laguna, Tenerife, Spain, 1998.

  665. Fernando Jiménez, José L. Verdegay, and Antonio F. Gómez-Skarmeta. Evolutionary Techniques for Constrained Multiobjective Optimization Problems, In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pages 115-116, Orlando, Florida, July 1999.

  666. Fernando Jiménez, Antonio F. Gómez-Skarmeta, Gracia Sánchez and Kalyanmoy Deb. An Evolutionary Algorithm for Constrained Multi-objective Optimization, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1133--1138, IEEE Service Center, Piscataway, New Jersey, May 2002

  667. Fernando Jiménez, Gracia Sánchez and Antonio F. Gómez-Skarmeta. A Pareto-Evolutionary Approach for Goal and Priority Based Multi-Objective Optimization Problems, in Proceedings of the 6th Joint Conference on Information Sciences (JCIS 2002), 4th International Workshop on Frontiers in Evolutionary Algorithms, pp. 590-593, 2002

  668. Fernando Jiménez, Gracia Sánchez, Antonio F. Gómez-Skarmeta, H. Roubos and R. Babuska. Fuzzy Modeling with Multi-Objective Neuro-Evolutionary Algorithms, in Proceedings of the 2002 IEEE International Conference on Systems, Man and Cybernetics (SMC'02), IEEE, 2002

  669. Yaochu Jin, Markus Olhofer, and Bernhard Sendhoff. On Evolutionary Optimization with Approximate Fitness Functions, In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee, and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 786-793, San Francisco, California, 2000. Morgan Kaufmann.

  670. Yaochu Jin, Tatsuya Okabe, and Bernhard Sendhoff.Dynamic Weighted Aggregation for Evolutionary Multi-Objective Optimization: Why Does It Work and How?, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 1042--1049, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

  671. Yaouchu Jin, Markus Olhofer and Bernhard Sendhoff. Managing Approximate Models in Evolutionary Aerodynamic Design Optimization, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, IEEE Service Center, Piscataway, New Jersey, pp. 592--599, May 2001 .

  672. Yaochu Jin and Bernhard Sendhoff. Incorporation of Fuzzy Preferences into Evolutionary Multiobjective Optimization, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 683, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  673. Yaochu Jin and Bernhard Sendhoff. Incorporation of Fuzzy Preferences into Evolutionary Multiobjective Optimization, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 26--30, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  674. Yaochu Jin and Bernhard Sendhoff. Trade-Off between Performance and Robustness: An Evolutionary Multiobjective Approach, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 237--251, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  675. Yaochu Jin and Bernhard Sendhoff. Connectedness, Regularity and the Success of Local Search in Evolutionary Multi-objective Optimization, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1910--1917, IEEE Press, Canberra, Australia, December 2003 .

  676. Huidong Jin and Man-Leung Wong. Adaptive Diversity Maintenance and Convergence Guarantee in Multiobjective Evolutionary Algorithms, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2498--2505, IEEE Press, Canberra, Australia, December 2003 .

  677. Yaochu Jin and Bernhard Sendhoff. Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept, in Günther R. Raidl et al. (editors), Applications of Evolutionary Computing. Proceedings of Evoworkshops 2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC, Springer. Lecture Notes in Computer Science, Volume 3005, pp. 525--536, Coimbra, Portugal, April 2004.

  678. Yaochu Jin, Tatsuya Okabe and Bernhard Sendhoff. Neural Network Regularization and Ensembling Using Multi-objective Evolutionary Algorithms, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 1--8, Portland, Oregon, USA, June 2004.

  679. Yaochu Jin, Bernhard Sendhoff and Edgar Körner. Evolutionary Multi-objective Optimization for Simultaneous Generation of Signal-Type and Symbol-Type Representations, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 752--766, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  680. Yaochu Jin and Bernhard Sendhoff. Alleviating Catastrophic Forgetting via Multi-Objective Learning, in 2006 International Joint Conference on Neural Networks (IJCNN'2006), pp. 6367--6374, IEEE, Vancouver, BC, Canada, July 2006.

  681. Jeffrey A. Joines, Deepak Gupta, Mahmut Ali Gokce, Russell E. King and Michael G. Kay, Supply Chain Multi-Objective Simulation Optimization, in E. Yücesan, C.-H. Chen, J.L. Snowdon, and J.M. Charnes (eds), Proceedings of the 2002 Winter Simulation Conference, pp. 1306--1314, San Diego, California, December 2002.

  682. Milton Jonathan, Marco Aurélio Cavalcanti Pacheco, Ricardo Salem Zebulum and Marley B.R. Vellasco. Multiobjective Optimization Techniques: A Study of the Energy Minimization Method and Its Application to the Synthesis of Ota Amplifiers, in Proceedings of the Second NASA/DoD Workshop on Evolvable Hardware, pp. 133--140, IEEE Computer Society, 2000.

  683. Gareth Jones, Robert D. Brown, David E. Clark, Peter Willett, and Robert C. Glen. Searching Databases of Two-Dimensional and Three-Dimensional Chemical Structures using Genetic Algorithms. In Stephanie Forrest, editor, Proceedings of the Fifth International Conference on Genetic Algorithms, pages 597-602, San Mateo, California, 1993. Morgan Kaufmann.

  684. Brian R. Jones, William A. Crossley, and Anastasios S. Lyrintzis. Aerodynamic and Aeroacoustic Optimization of Airfoils via a Parallel Genetic Algorithm, In Proceedings of the 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, AIAA-98-4811. AIAA, 1998.

  685. D. F. Jones, M. Tamiz, and S. K. Mirrazavi. Using Genetic Algorithms to Solve Difficult Goal Programs. In Proceedings of the Third International Conference on Multi-Objective Programming and Goal Programming: Theory and Applications (MOPGP'98), Quebec City, Canada, 1998.

  686. P.M. Jones, A. Tiwari, R. Roy and J. Corbett. Optimisation of the High Efficiency Deep Grinding Process with Fuzzy Fitness Function and Constraints, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 574--581, Portland, Oregon, USA, June 2004 .

  687. Elsa Jordaan, Arthur Kordon, Leo Chiang and Guido Smitsin. Robust Inferential Sensors Based on Ensemble of Predictors Generated by Genetic Programming, in Xin Yao et al. (editors), Parallel Problem Solving from Nature---PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science Vol. 3242, pp. 522--531, Birmingham, UK, September 2004.

  688. Laetitia Jourdan, David Corne, Dragan Savic and Godfrey Walters. Preliminary Investigation of the `Learnable Evolution Model' for Faster/Better Multiobjective Water Systems Design, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 841--855, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  689. Nicolas Jozefowiez, Frédéric Semet and El-Ghazali Talbi. Parallel and Hybrid Models for Multi-objective Optimization: Application to the Vehicle Routing Problem, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 271--280, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002 .

    690. K

  690. B. Anthony Kadrovach, Steven R. Michaud, Jesse B. Zydallis, Gary B. Lamont, Barry Secrest and David Strong. Extending the Simple Genetic Algorithm into Multi-Objective Problems via Mendelian Pressure, 2001 Genetic and Evolutionary Computation Conference. Workshop Program, San Francisco, California, pp. 181--188, July 2001.

  691. B. Anthony Kadrovach, Jesse B. Zydallis and Gary B. Lamont. Use of Mendelian Pressure in a Multi-Objective Genetic Algorithm, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 962--967, IEEE Service Center, Piscataway, New Jersey, May 2002

  692. Shiori Kaige, Tadahiko Murata and Hisao Ishibuchi. Performance evaluation of memetic EMO algorithms using dominance relation-based replacement rules on MOO test problems, in Proceedings of the 2003 IEEE International Conference on Systems, Man, and Cybernetics, Vol. 1, pp. 14--19, IEEE Press, 2003.

  693. Raffi Kamalian, Hideyuki Takagi and Alice M. Agogino. Optimized Design of MEMS by Evolutionary Multi-objective Optimization with Interactive Evolutionary Computation, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 1030--1041, Seattle, Washington, USA, June 2004.

  694. Jiro Kamiura, Tomoyuki Hiroyasu, Mitsunori Miki and Shinya Watanabe. MOGADES: Multi-Objective Genetic Algorithm with Distributed Environment Scheme, in Computational Intelligence and Applications (Proceedings of the Second International Workshop on Intelligent Systems Design and Applications: ISDA'02), pp. 143--148, 2002.

  695. Masahiro Kanazaki, Masashi Morikaw, Shigeru Obayashi and Kazuhiro Nakahashi. Multiobjective Design Optimization of Merging Configuration for an Exhaust Manifold of a Car Engine, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 281--287, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002 .

  696. Marios K. Karakasis and Kyriakos C. Giannakoglou. Metamodel-Assisted Multi-Objective Evolutionary Optimization, in R. Schilling, W. Haase, J. Periaux, H. Baier and G. Bugeda (editors), EUROGEN 2005. Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems, Munich, Germany, 2005.

  697. Kosuke Kato and Masatoshi Sakawa. Genetic Algorithms with Decomposition Procedures for Fuzzy Multiobjective 0-1 Programming Problems with Block Angular Structure. In Proceedings of the 1996 International Conference on Evolutionary Computation (ICEC'96), pages 706-709, 1996.

  698. Kosuke Kato and Masatoshi Sakawa. Interactive Decision Making for Multiobjective Block Angular 0-1 Programming Problems with Fuzzy Parameters Through Genetic Algorithms with Decomposition Procedures. In Proceedings of the Sixth IEEE Conference on Fuzzy Systems, pages 1645-1650, 1997.

  699. Kosuke Kato and Masatoshi Sakawa. Large scale fuzzy multiobjective 0-1 programs through genetic algorithms with decomposition procedures, in L.C. Jain and R.K. Jain (Editors), Second International Conference on Knowledge-Based Intelligent Electronic Systems, pp. 278--284, IEEE, Adelaide, Australia, 1998.

  700. Yuji Katsumata and Takao Terano. Bayesian Optimization Algorithm for Multi-Objective Solutions:Application to Electric Equipment Configuration Problems in a Power Plant, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 1101--1107, IEEE Press, Canberra, Australia, December 2003 .

  701. T. Kawabe and T. Tagami. A New Genetic Algorithm using Pareto Partitioning Method for Robust Partial Model Matching PID Design with Two Degrees of Freedom. In Proceedings of the Third International ICSC (International Computer Science Conventions) Symposia on Intelligent Industrial Automation (IIA'99) and Soft Computing (SOCO'99), pages 562-567, Genova, 1999.

  702. Hiroshi Kawamura. Fuzzy Multi-Objective and Multistage Optimization--An Application of Fuzzy Theory to Artificial Life, in International Joint Conference of the Fourth IEEE International Symposium on Fuzzy Systems and the Second International Fuzzy Engineering Symposium, Vol. 2, pp. 701--708, IEEE, 1995.

  703. Edward Keedwell and Soon-Thiam Khu. Hybrid Genetic Algorithms for Multi-objective Optimisation of Water Distribution Networks, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 1030--1041, Seattle, Washington, USA, June 2004.

  704. Nattavut Keerativuttiumrong, Nachol Chaiyaratana and Vara Varavithya. Multi-objective Co-operative Co-evolutionary Genetic Algorithm, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 288--297, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002.

  705. Mohammed Khabzaoui, Clarisse Dhaenens and El-Ghazali Talbi. A Multicriteria Genetic Algorithm to analyze DNA microarray data, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1874--1881, Portland, Oregon, USA, June 2004.

  706. S. Khajehpour and D.E. Grierson. Conceptual Design using Adaptive Computing, 2001 Genetic and Computation Conference. Workshop Program, San Francisco, California, pp. 62--67, July 2001 .

  707. Nazan Khan, David E. Goldberg and Martin Pelikan. Multi-Objective Bayesian Optimization Algorithm, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 684, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  708. Junaid A. Khan, Sadiq M. Sait and Mahmood R. Minhas. Fuzzy Bialess Simulated Evolution for Multiobjective VLSI Placement, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1642--1647, IEEE Service Center, Piscataway, New Jersey, May 2002

  709. V. Khare, X. Yao and K. Deb. Performance Scaling of Multi-objective Evolutionary Algorithms, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 376--390, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  710. Wael Khatib and Peter J. Fleming. An Introduction to Evolutionary Computing for Multidisciplinary Optimization. In Genetic Algorithms in Engineering Systems: Innovations and Applications, pages 7-12. IEE, 1997.

  711. E.F. Khor, K.C. Tan, M.L. Wang and T.H. Lee. Evolutionary Algorithm with Dynamic Population Size for Multi-Objective Optimization, 26th Annual Conference of the IEEE Industrial Electronics Society, Vol. 3, pp. 1686--1691, IEEE, 2000.

  712. E.F. Khor, K.C. Tan, and T.H. Lee. Multi-Objective Evolutionary Algorithm with Non-Stationary Search Space, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, IEEE Service Center, Piscataway, New Jersey, pp. 527--535, May 2001 .

  713. Tahi M. Khoshgoftaar and Yi Liu and Naeem Seliya. Genetic Programming-Based Decision Trees for Software Quality Classification, in Proceedings of the Fifteenth International Conference on Tools with Artificial Intelligence (ICTAI 03), pp. 374--383, IEEE Computer Society, Los Alamitos, California, November 2003 .

  714. Y.-J. Kim and J. Ghaboussi. A New Genetic Algorithm Based Control Method Using State Space Reconstruction. In Proceedings of the Second World Conference on Struc. Control, pages 2007-2014, Kyoto, Japan, 1998.

  715. YongSeong Kim, W. Nick Street and Filippo Menczer. An Evolutionary Multi-Objective Local Selection Algorithm for Customer Targeting, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 2, IEEE Service Center, Piscataway, New Jersey, pp. 759--766, May 2001 .

  716. Dongmin Kim, Soo-Yong Shin, In-Hee Lee and Byoung-Tak Zhang. NACST/Seq: A Sequence Design System with Multiobjective Optimization, in Masami Hagiya and Azuma Ohuchi (Editors), DNA Computing, 8th International Workshop on DNA Based Computers (DNA8), pp. 242--251, Springer, Lecture Notes in Computer Science. Volume 2568, Sapporo, Japan, 2003 .

  717. DaeEun Kim. Structural Risk Minimization on Decision Trees Using an Evolutionary Multiobjective Optimization, in Maarten Keijzer, Una-May O'Reilly, Simon M. Lucas, Ernesto Costa and Terence Soule (editors), Genetic Programming. 7th European Conference, EuroGP 2004, Springer, Lecture Notes in Computer Science Vol. 3003, pp. 338--348, Coimbra, Portugal, April 2004.

  718. Mifa Kim, Tomoyuki Hiroyasu, Mitsunori Miki and Shinya Watanabe. SPEA2+: Improving the Performance of the Strength Pareto Evolutionary Algorithm 2, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 742--751, Birmingham, UK, September 2004.

  719. S. Kim and H.S. Chung. Multiobjective optimization using adjoint gradient enhanced approximation models for genetic algorithms, Computational Science and Its Applications---ICCSA 2006, Part 5, Springer-Verlag, pp. 491--502, Lecture Notes in Computer Science Vol. 3984, 2006 .

  720. Yehoon Kim, Jong-Hwan Kim and Kuk-Hyun Han. Quantum-inspired Multiobjective Evolutionary Algorithm for Multiobjective 0/1 Knapsack Problems, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 9151--9156, IEEE, Vancouver, BC, Canada, July 2006 .

  721. Robert T.F. Ah King and Harry C.S. Rughooputh. Elitist Multiobjective Evolutionary Algorithm for Environmental/Economic Dispatch, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 1108--1114, IEEE Press, Canberra, Australia, December 2003 .

  722. Robert T.F. Ah King, Harry C.S. Rughooputh and Kalyanmoy Deb. Evolutionary Multi-objective Environmental/Economic Dispatch: Stochastic Versus Deterministic Approaches, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 677--691, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  723. Robert T. F. Ah King, Harry C.S. Rughhooputh and Kalyanmoy Deb. Stochastic Evolutionary Multiobjective Environmental/Economic Dispatch, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3369--3376, IEEE, Vancouver, BC, Canada, July 2006 .

  724. T. Kipouros, G.T. Parks, A.M. Savill and D.M. Jaeggi. Multi-objective Aerodynamic Design Optimisation, in K.C. Giannakoglou and W. Haase (editors), ERCOF-TAC Design Optimization: Methods and Applications Conference Proceedings. On CD Rom, Paper ERCODO2004_239, 2004.

  725. Timoleon Kipouros, Daniel Jaeggi, Bill Dawes, Geoff Parks and Mark Savill. Multi-objective Optimisation of Turbomachinery Blades Using Tabu Search, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 897--910, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  726. Michael Kirley. MEA: A metapopulation evolutionary algorithm for multi-objective optimisation problems, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 2, IEEE Service Center, Piscataway, New Jersey, pp. 949--956, May 2001 .

  727. Marek Kisiel-Dorohinicki and Krzysztof Socha. Crowding Factor in Evolutionary Multi-Agent System for Multiobjective Optimization, in Hamid R. Arabnia (editor), Proceedings of the International Conference on Artificial Intelligence (IC-AI'2001), pp. 695--700, CSREA Press, 2001.

  728. Marek Kisiel-Dorohinicki, Grzegorz Dobrowolski and Edward Nawarecki. Evolutionary multi-agent system in multiobjective optimisation, in M.~Hamza (editor), Proceedings of the IASTED International Symposium on Applied Informatics (AI'2001), pp. 360--365, IASTED/ACTA Press, 2001 .

  729. Hajime Kita, Yasuyuki Yabumoto, Naoki Mori, and Yoshikazu Nishikawa. Multi-Objective Optimization by Means of the Thermodynamical Genetic Algorithm. In Hans-Michael Voigt, Werner Ebeling, Ingo Rechenberg, and Hans-Paul Schwefel, editors, Parallel Problem Solving from Nature--PPSN IV, Lecture Notes in Computer Science, pages 504-512, Berlin, Germany, September 1996. Springer-Verlag.

  730. Takanori Kiyota, Yasutaka Tsuji and Eiji Kondo. New Multiobjective Fuzzy Optimization Method and Its Application, in Proceedings of the 2000 American Control Conference, Vol. 6, pp. 4224--4228, Chicago, Illinois, IEEE, June 2000.

  731. Mark P. Kleeman, Richard O. Day and Gary B. Lamont. Analysis of a Parallel MOEA Solving the Multi-objective Quadratic Assignment Problem, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 402--403, Seattle, Washington, USA, June 2004.

  732. Mark P. Kleeman, Richard O. Day and Gary B. Lamont. Multi-Objective Evolutionary Search Performance with Explicit Building-Block Sizes for NPC Problems, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 728--735, Portland, Oregon, USA, June 2004.

  733. Mark P. Kleeman and Gary B. Lamont. Solving the Aircraft Engine Maintenance Scheduling Problem Using a Multi-objective Evolutionary Algorithm, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 782--796, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  734. Mark P. Kleeman and Gary B. Lamont. The Multi-Objective Constrained Assignment Problem, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 743--744, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  735. Mark P. Kleeman and Gary B. Lamont. Coevolutionary Multi-Objective EAs: The Next Frontier?, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 6190--6199, IEEE, Vancouver, BC, Canada, July 2006 .

  736. Mark P. Kleeman, Gary B. Lamont, Adam Cooney and Thomas R. Nelson. A Multi-tiered Memetic Multiobjective Evolutionary Algorithm for the Design of Quantum Cascade Lasers, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 186--200, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  737. Mark P. Kleeman, Gary B. Lamont, Kenneth M. Hopkinson and Scott R. Graham. Solving Multicommodity Capacitated Network Design Problems using a Multiobjective Evolutionary Algorithm, in IEEE Symposium on Computational Intelligence in Security and Defense Applications (CISDA 2007), pp. 33--41, IEEE Press, April 2007 .

  738. Mark R. Knarr, Mark N. Goltz, Gary B. Lamont and Junqi Huang. In Situ Bioremediation of Perchlorate-Contaminated Groundwater using a Multi-Objective Parallel Evolutionary Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1604--1611, IEEE Press, Canberra, Australia, December 2003 .

  739. Joshua D. Knowles and David W. Corne. The Pareto Archived Evolution Strategy: A New Baseline Algorithm for Multiobjective Optimisation, In 1999 Congress on Evolutionary Computation, pages 98-105, Washington, D.C., July 1999. IEEE Service Center.

  740. Joshua D. Knowles and David W. Corne. Assessing the Performance of the Pareto Archived Evolution Strategy, In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pages 123-124, Orlando, Florida, July 1999.

  741. J. D. Knowles and D. W. Corne. Local Search, Multiobjective Optimization and the Pareto Archived Evolution Strategy, In B. et al. McKay, editor, Proceedings of Third Australia-Japan Joint Workshop on Intelligent and Evolutionary Systems, pages 209-216, Ashikaga, Japan, November 1999. Ashikaga Institute of Technology.

  742. Joshua Knowles and David Corne. M-PAES: A Memetic Algorithm for Multiobjective Optimization,In 2000 Congress on Evolutionary Computation, volume 1, pages 325-332, Piscataway, New Jersey, July 2000. IEEE Service Center.

  743. Joshua D. Knowles and David W. Corne. A Comparison of Diverse Approaches to Memetic Multiobjective Combinatorial Optimization,In Proceedings of the 2000 Genetic and Evolutionary Computation Conference Workshop Program, pages 103-108, Las Vegas, Nevada, July 2000.

  744. Joshua D. Knowles, David W. Corne, and Martin J. Oates. On the Assessment of Multiobjective Approaches to the Adaptive Distributed Database Management Problem, In Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, Xin Yao, Evelyne Lutton, J. J. Merelo and Hans-Paul Schwefel (editors), Proceedings of the Sixth International Conference on Parallel Problem Solving from Nature (PPSN VI), pages 869-878, Berlin, September 2000. Springer.

  745. Joshua D. Knowles, David W. Corne, and Martin J. Oates. The Pareto-Envelope based Selection Algorithm for Multiobjective Optimization, In Proceedings of the Sixth International Conference on Parallel Problem Solving from Nature (PPSN VI), pages 839-848, Berlin, September 2000. Springer.

  746. Joshua D. Knowles and David W. Corne. Benchmark Problem Generators and Results for the Multiobjective Degree-Constrained Minimum Spanning Tree Problem, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 424--431, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

  747. Joshua D. Knowles and David W. Corne. A Comparative Assessment of Memetic, Evolutionary, and Constructive Algorithms for the Multiobjective d-MST Problem, 2001 Genetic and Evolutionary Computation Conference. Workshop Program, San Francisco, California, pp. 162--167, July 2001 .

  748. Joshua D. Knowles and David W. Corne. A Comparison of Encodings and Algorithms for Multiobjective Minimum Spanning Tree Problems, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, IEEE Service Center, Piscataway, New Jersey, pp. 544--551, May 2001 .

  749. Joshua Knowles and David Corne. On Metrics for Comparing Nondominated Sets, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 711--716, IEEE Service Center, Piscataway, New Jersey, May 2002

  750. Joshua D. Knowles and David W. Corne. Towards landscape analyses to inform the design of a hybrid local search for the multiobjective quadratic assignment problem, In A. Abraham, J. Ruiz-del-Solar, M. Köppen (eds.), Soft Computing Systems: Design, Management and Applications, IOS Press, Amsterdam, pp. 271--279, ISBN 1-58603-297-6, 2002.

  751. Joshua Knowles and David Corne. Instance Generators and Test Suites for the Multiobjective Quadratic Assignment Problem, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 295--310, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  752. Joshua D. Knowles, David W. Corne and Mark Fleischer. Bounded Archiving using the Lebesgue Measure, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2490--2497, IEEE Press, Canberra, Australia, December 2003 .

  753. Joshua Knowles and David Corne. Bounded Pareto Archiving: Theory and Practice, in Xavier Gandibleux, Marc Sevaux, Kenneth Sörensen and Vincent T'kindt (editors), Metaheuristics for Multiobjective Optimisation, pp. 39--64, Springer. Lecture Notes in Economics and Mathematical Systems Vol. 535, Berlin, 2004.

  754. Joshua Knowles and Evan J. Hughes. Multiobjective Optimization on a Budget of 250 Evaluations, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 176--190, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  755. Joshua Knowles. A summary-attainment-surface plotting method for visualizing the performance of stochastic multiobjective optimizers, in Fifth International Conference on Intelligent Systems Design and Applications (ISDA'2005), pp. 552--557, 2005.

  756. Joshua Knowles and David Corne. Quantifying the Effects of Objective Space Dimension in Evolutionary Multiobjective Optimization, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 757--771, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  757. Thomas E. Koch and Andreas Zell. MOCS: Multi-Objective Clustering Selection Evolutionary Algorithm, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 423--430, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  758. Praveen Koduru, Sanjoy Das, Stephen Welch and Judith L. Roe. Fuzzy Dominance Based Multi-objective GA-Simplex Hybrid Algorithms Applied to Gene Network Models, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 356--367, Seattle, Washington, USA, June 2004.

  759. Praveen Koduru, Sanjoy Das, Stephen Welch and Judith L. Roe. A Multi-objective GA-Simplex Hybrid Approach for Gene Regulatory Network Models, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 2084--2091, Portland, Oregon, USA, June 2004.

  760. Praveen Koduru, Sanjoy Das, Stephen Welch, Judith L. Roe and Zenaida P. Lopez-Dee. A Co-evolutionary Hybrid Algorithm for Multi-Objective Optimization of Gene Regulatory Network Models, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 393--399, Vol. 1, ACM Press, New York, USA, June 2005 .

  761. Naoki Koizumi, Ikuo Yoshihara, Kunihito Yamamori and Moritoshi Yasunaga. Enhancement of the Variable-Length-Transmission-Line Design method for multi-point optimization, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 449--455, IEEE, Vancouver, BC, Canada, July 2006 .

  762. Ikeda Kokolo, Kita Hajime and Kobayashi Shigenobu. Failure of Pareto-based MOEAs: Does Non-dominated Really Mean Near to Optimal?, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 2, IEEE Service Center, Piscataway, New Jersey, pp. 957--962, May 2001 .

  763. Joshua B. Kollat and Patrick M. Reed. The Value of Online Adaptive Search: A Performance Comparison of NSGAII, e-NSGAII and eMOEA, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 386--398, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  764. Michael Kolonko and Stefan Voget. Multidimensional Optimization with Genetic Algorithms using Fuzzy Fitness Functions. In Tagungsband der Fuzzy-Neuro-Systeme, 1997.

  765. Dorothea Kolossa and Georg Grübel. Evolutionary Computation and Nonlinear Programming in Multi-model-robust Control Design, in Stefano Cagnoni et al. (eds.), Proceedings of Real World Applications of Evolutionary Computing. EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoRob, and EvoFlight, pp. 147--157, Springer. Lecture Notes in Computer Science Vol. 1803, Edinburgh, Scotland, April 2000.

  766. Dorothea Kolossa, Bert-Uwe Köhler, Markus Conrath and Reinhold Orglmeister. Optimal Permutation Correction by Multiobjective Genetic Algorithms, in T.-W. Lee, T.-P. Jung, S. Makeig and T.J. Sejnowski (editors), 3rd International Conference on Independent Component Analysis and Blind Signal Separation (ICA'2001), December 2001.

  767. Ken-ichirou Komatsu, Tadashi Ishihara and Hikaru Inooka. Genetic Algorithm with Redundant Chromosome and its Application to Control Systems Design, in IEEE International Conference on Systems, Man, and Cybernetics, Vol. 5, pp. 547--552, IEEE, 1999.

  768. Mario Köppen and S. Rudlof. Multiobjective Optimization by Nessy Algorithm, In R. Roy, T. Furuhashi, and P.K. Chawdhry, editors, Advances in Soft Computing, pages 357-368, London, 1998. Springer.

  769. Mario Köppen. On the Benchmarking of Multiobjective Optimization Algorithm, in Vasile Palade, Robert J. Howlett and Lakhmi C. Jain (editors), Proceedings of the 7th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2003). Part I, pp. 379--385, Springer. Lecture Notes on Computer Science Vol. 2773, Oxford, UK, September 2003.

  770. Mario Köppen, Katrin Franke and Bertram Nickolay. Fuzzy-Pareto-Dominance Driven Multiobjective Genetic Algorithm, in Proceedings of the 10th IFSA World Congress (IFSA 2003), pp. 450--453, Istanbul, Turkey, June 2003.

  771. Mario Köppen, Raul Vicente-Garcia and Betram Nickolay. Fuzzy-Pareto-Dominance and Its Application in Evolutionary Multi-objective Optimization, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 399--412, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  772. Mario Köppen and Kaori Yoshida. Substitute Distance Assignments in NSGA-II for Handling Many-Objective Optimization Problems, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 727--741, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  773. Arthur Kordon, Elsa Jordaan, Lawrence Chew, Guido Smits, Torben Bruck, Keith Haney and Annika Jeningsin. Biomass Inferential Sensor Based on Ensemble of Models Generated by Genetic Programming, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 1078--1089, Seattle, Washington, USA, June 2004.

  774. Konstantinos Koukoulakis and Yun Li. Benchmarking Cost-Assignment Schemes for Multi-objective Evolutionary Algorithms, in Stefano Cagnoni et al. (eds.), Proceedings of Real World Applications of Evolutionary Computing. EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoRob, and EvoFlight, pp. 158--167, Springer. Lecture Notes in Computer Science Vol. 1803, Edinburgh, Scotland, April 2000.

  775. Skander Kort. Schemata-Driven Multi-objective Optimization, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 192--206, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  776. Z. Kowalczuk and T. Bialaszewski. Improving evolutionary multi-objective optimization using genders, Artificial Intelligence and Soft Computing - ICAISC 2006, pp. 390--399, Springer, Lecture Notes in Computer Science Vol. 4029, 2006 .

  777. Nissrine Krami, Mohamed A. El-Sharkawi and Mohamed Akherraz. Multi Objective Particle Swarm Optimization Technique for Reactive Power Planning, in 2006 Swarm Intelligence Symposium (SIS'06), pp. 170--174, IEEE Press, Indianapolis, Indiana, USA, May 2006 .

  778. Saku Kokkonen and Jouni Lampinen. Mechanical Component Design for Multiple Objectives Using Generalized Differential Evolution, in I.C. Parmee (editor), Adaptive Computing in Design and Manufacture VI, pp. 261--272, Springer, London, 2004.

  779. Saku Kukkonen and Jouni Lampinen. An Extension of Generalized Differential Evolution for Multi-objective Optimization with Constraints, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 752--761, Birmingham, UK, September 2004.

  780. Saku Kukkonen and Jouni Lampinen. GDE3: The third Evolution Step of Generalized Differential Evolution, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 443--450, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  781. Saku Kukkonen and Kalyanmoy Deb. Improved Pruning of Non-Dominated Solutions Based on Crowding Distance for Bi-Objective Optimization Problems, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3995--4002, IEEE, Vancouver, BC, Canada, July 2006 .

  782. Saku Kukkonen and Jouni Lampinen. An Empirical Study of Control Parameters for the Third Version of Generalized Differential Evolution (GDE3), in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 7355--7362, IEEE, Vancouver, BC, Canada, July 2006 .

  783. Rajeev Kumar and Peter I. Rockett. Assessing the Convergence of Rank-Based Multiobjective Genetic Algorithms, In Proceedings of the 2nd IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA'97), pages 19-23, Glasgow, Scotland, September 1997. IEE.

  784. Rajeev Kumar and Peter Rockett. Decomposition of High Dimensional Pattern Spaces for Hierarchical Classification. In Proceedings of the Workshop on Statistical Techniques in Pattern Recognition, Prague, Czech Republic, June 1997.

  785. Rajeev Kumar, N. Vinay Kumar, and I. J. Nagrath. Object oriented toolkit for multiobjective genetic optimisation, In 3rd International Conference on Computational Intelligence and Multimedia Applications, pp. 96--10, IEEE, New Delhi, India, September 1999.

  786. Rajeev Kumar. On Generalisation of Machine Learning with Neural-Evolutionary Computations, in Proceedings of the Third International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'99), pp. 112--116, IEEE Computer Society Press, Los Alamitos, California, 1999.

  787. Rajeev Kumar. Codebook Design for Vector Quantisation using Multiobjective Genetic Algorithms, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.

  788. Rajeev Kumar, S. Prasanth, and M.S. Sudarshan. Topological Design of Mesh Communication Networks using Multiobjecitve Genetic Optimisation, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.

  789. Rajeev Kumar, V. Prasanna Krishnan and Kartik S. Santhanakrishnan. Design of an Optimal Communication Network Using Multiobjective Genetic Optimization, in Proceedings of the IEEE International Conference on Industrial Technology, Vol. 1, pp. 515--520, 2000.

  790. Sujay V. Kumar and S. Ranji Ranjithan. Evaluation of the Constraint Method-Based Evolutionary Algorithm (CMEA) for a Tree-Objective Optimization Problem, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 431--438, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  791. Rajeev Kumar, Prajna P. Parida and Mohit Gupta. Topological Design of Communication Networks using Multiobjective Genetic Optimization, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 425--430, IEEE Service Center, Piscataway, New Jersey, May 2002

  792. Rajeev Kumar and Peter Rockett. Evolutionary Multimodal Optimization Revisited, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 1592--1593, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003 .

  793. Rajeev Kumar and Nilanjan Banerjee. Multicriteria Network Design Using Evolutionary Algorithm, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 2179--2190, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003 .

  794. Rajeev Kumar, P.K. Singh and P.P. Chakrabarti. Multiobjective EA Approach for Improved Quality of Solutions for Spanning Tree Problem, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 811--825, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  795. Rajeev Kumar and Nilanjan Banerjee. Running time analysis of a multiobjective evolutionary algorithm on simple and hard problems, in Alden H. Wright, Michael D. Vose, Kenneth A. De Jong and Lothar M. Schmitt (editors), Foundations of Genetic Algorithms. 8th International Workshop, FOGA 2005, Springer, Lecture Notes in Computer Science Vol. 3469, pp. 112--131, Aizu-Wakamatsu City, Japan, January 2005 .

  796. Rajeev Kumar, P.K. Singh and Bhargab B. Bhattacharya. Biobjective Evolutionary and Heuristic Algorithms for Intersection of Geometric Graphs, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1689--1696, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  797. Sourav Kundu, Seichi Kawata, and A. Watanabe. Optimal control system design using a Pareto genetic algorithm. In Proceedings of the Joint System and Information '95 Symposium, pages 53-59, Toyama, Japan, November 1995. SICE.

  798. Sourav Kundu and Andrzej Osyczka. The effect of genetic algorithm selection mechanisms on multicriteria optimization using the distance method. In Proceedings of the Fifth International Conference on Intelligent Systems, pages 164-168, Reno, Nevada, 1996. International Society for Computers and Their Applications (ISCA).

  799. Sourav Kundu, S. Kawata, and A. Watanabe. A multicriteria approach to control system design with genetic algorithm. In Proceedings of the International Federation of Automatic Control (IFAC'96)--13th World Congress, volume D, pages 315-320, Klidington, UK, 1996. Elsevier Science.

  800. Sourav Kundu. A multicriteria genetic algorithm to solve optimization problems in structural engineering design. In B. Kumar, editor, Information Processing in Civil and Structural Engineering Design, pages 225-233, Glasgow, Scotland, August 1996. Civil-Comp Press Ltd.

  801. Sourav Kundu and Andrzej Osyczka. Genetic multicriteria optimization of structural systems. In Proceedings of the 19th International Congress on Theoretical and Applied Mechanics (ICTAM 1996), page 272, Kyoto, Japan, August 1996. International Union of Theoretical and Applied Mechanics (IUTAM). Volumen of Abstracts.

  802. Sourav Kundu and Seichi Kawata. A GA-based state feedback design method using bicriterion performance index and tournament selection. In Proceedings of the Fifth International Conference on Intelligent Systems, pages 169-173, Reno, Nevada, 1996. International Society for Computers and Their Applications (ISCA).

  803. Sourav Kundu. A Note on Optimality vs. Stability--A Genetic Algorithm based Approach,In Proceedings of the Third World Congress of Structural and Multidisciplinary Optimization (WCSMO), Buffalo, New York, May 1999.

  804. Sourav Kundu and Seiichi Kawata. Evolutionary Multicriteria Optimization for Improved Design of Optimal Control Systems, in I.C. Parmee (Editor), Proceedings of the Fifth International Conference on Adaptive Computing Design and Manufacture (ACDM 2002), pp. 207--218, Springer-Verlag, University of Exeter, Devon, UK, April 2002 .

  805. Pascale Kuntz, Rémi Lehn and Henri Briand. Dynamic Rule Graph Drawing by Genetic Search, in IEEE International Conference on Systems, Man, and Cybernetics, Vol. 4, pp. 2481--2486, 2000.

  806. Setsuya Kurahashi and Takao Terano. A Genetic Algorithm with Tabu Search for Multimodal and Multiobjective Function Optimization. In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee, and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 291-298, San Francisco, California, 2000. Morgan Kaufmann.

  807. Frank Kursawe. A variant of evolution strategies for vector optimization, In H. P. Schwefel and R. Männer, editors, Parallel Problem Solving from Nature. 1st Workshop, PPSN I, volume 496 of Lecture Notes in Computer Science, pages 193-197, Berlin, Germany, oct 1991. Springer-Verlag.

  808. Frank Kursawe. Evolution strategies for vector optimization, In Preliminary Procedings of the Tenth International Conference on Multiple Criteria Decision Making, pages 187-193, Taipei, China, July 1992. National Chiao Tung University.

  809. Mary E. Kurz and Sarah Canterbury. Minimizing Total Flowtime and Maximum Earliness on a Single Machine Using Multiple Measures of Fitness, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 803--809, Vol. 1, ACM Press, New York, USA, June 2005 .

  810. Andrew Kusiak. Evolutionary Computation and Data Mining, in B. Gopalakrishnan and A. Gunasekaran (Eds) Proceedings of the SPIE Conference on Intelligent Systems and Advanced Manufacturing, SPIE, Vol. 4192, pp. 1--10, Boston, Massachussets, November 2000 .

  811. C.M. Kwan and C.S. Chang. Application of Evolutionary Algorithm on a Transportation Scheduling Problem - The Mass Rapid Transit, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 987--994, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.

  812. Sam Kwong and H.W. Chong. A Genetic Algorithm for Joint Optimization of Spare Capacity and Delay in Self-Healing Network, in in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 732--736, Vol. 2, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

    813. L

  813. P. Lacomme, C. Prins and M. Sevaux. Multiobjective Capacitated Arc Routing Problem, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 550--564, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  814. Michael Lahanas, Eduard Schreibmann, Natasa Milickovic and Dimos Baltas. Intensity Modulated Beam Radiation Therapy Dose Optimization with Multiobjective Evolutionary Algorithms, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 648--661, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  815. Gary B. Lamont, James N. Slear and Kenneth Melendez. UAV Swarm Mission Planning and Routing using Multi-Objective Evolutionary Algorithms, in IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM 2007), pp. 10--20, IEEE Press, April 2007 .

  816. Birger Landwehr. A Genetic Algorithm based Approach for Multi-Objective Data-Flow Graph Optimization, in Proceedings of the Asia and South Pacific Design Automation Conference 1999 (ASP-DAC'99), IEEE, pp. 355--358, Wanchai, Hong Kong, January 1999.

  817. P.C.R. Lane and F. Gobet. Discovering predictive variables when evolving cognitive models, Pattern Recognition and Data Mining, Pt 1, Proceedings, Springer, pp. 108--117, Lecture Notes in Computer Science Vol. 3686, 2005 .

  818. William B. Langdon. Evolving data structures using genetic programming, In Larry Eshelman, editor, Proceedings of the Sixth International Conference on Genetic Algorithms (ICGA'95), pages 295-302, Pittsburgh, PA, July 1995. Morgan Kaufmann.

  819. William B. Langdon. Using Data Structures within Genetic Programming, In John R. Koza, David E. Goldberg, David B. Fogel, and Rick L. Riolo, editors, Genetic Programming 1996: Proceedings of the First Annual Conference, pages 141-148, Stanford University, CA, USA, 28-31 July 1996. MIT Press.

  820. William B. Langdon. Scheduling Maintenance of Electrical Power Transmission Networks Using Genetic Programming, In John R. Koza, editor, Late Breaking Papers at the GP-96 Conference, pages 107-116, Stanford, CA, USA, 28-31 July 1996. Stanford Bookstore.

  821. W. B. Langdon. Scheduling Maintenance of Electrical Power Transmission Networks Using Genetic Programming. In The 1st Online Workshop on Soft Computing (WSC1). Research Group on ECOmp of the Society of Fuzzy Theory and Systems (SOFT), Nagoya University, Japan, August 1996.

  822. S.P. Larcombe and N.A. Thacker. Using Genetic Algorithms to Automate System Implementation in a Novel Three-Dimensional Packaging Technology. In Proceedings of IEEE ICCD, 1996.

  823. S.P. Larcombe, D.J. Prendergast, N.A. Thacker, and P.A. Ivey. Initial Development of a Genetic Algorithm to Automate System Implementation in a Novel Electronic Packaging Technology. In Proceedings of GALESIA'97, Glasgow, September 1997.

  824. Marco Laumanns, Günter Rudolph, and Hans-Paul Schwefel. A Spatial Predator-Prey Approach to Multi-Objective Optimization: A Preliminary Study, In A. E. Eiben, M. Schoenauer, and H.-P. Schwefel, editors, Parallel Problem Solving From Nature -- PPSN V, pages 241-249, Amsterdam, Holland, 1998. Springer-Verlag.

  825. Marco Laumanns, Eckart Zitzler, and Lothar Thiele. A Unified Model for Multi-Objective Evolutionary Algorithms with Elitism, In 2000 Congress on Evolutionary Computation, volume 1, pages 46-53, Piscataway, New Jersey, July 2000. IEEE Service Center.

  826. Marco Laumanns, Günter Rudolph, and Hans-Paul Schwefel. Adaptive Mutation Control in Panmictic and Spatially Distributed Multi-Objective Evolutionary Algorithms, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), September 2000.

  827. Marco Laumanns, Günter Rudolph, and Hans-Paul Schwefel. Mutation Control and Convergence in Evolutionary Multi-Objective Optimization. In R. Matousek and P. Osmera (eds.), Proceedings of the 7th International Mendel Conference on Soft Computing (MENDEL 2001), Brno University of Technology, pp. 24--29, Brno, Czech Republic, June 2001 .

  828. Nando Laumanns, Marco Laumanns, and Harmut Kitterer. Evolutionary Multi-Objective Integer Programming for the Design of Adaptive Cruise Control Systems, in Tim Hendtlass and Moonis Ali (editors), Proceedings of the Fifteenth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE-2002), pp. 200--210, Springer-Verlag. Lecture Notes in Artificial Intelligence Vol. 2358, Cairns, Australia, June 2001.

  829. Marco Laumanns, Eckart Zitzler and Lother Thiele. Multiple Criteria Decision Support by Evolutionary Computation, in L.M. Hilty and P.W. Gilgen (editors), Sustainability in the Information Society, 15th International Symposium Informatics for Environmental Protection, Verlag, Zurich, October 2001.

  830. Marco Laumanns, Lothar Thiele, Eckart Zitzler and Kalyanmoy Deb. Archiving with Guaranteed Convergence and Diversity in Multi-Objective Optimization, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 439--447, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  831. Marco Laumanns, Lothar Thiele, Eckart Zitzler, Emo Welzl and Kalyanmoy Deb. Running Time Analysis of Multi-objective Evolutionary Algorithms on a Simple Discrete Optimization Problem, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 44--53, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002 .

  832. Marco Laumanns and Jiri Ocenasek. Bayesian Optimization Algorithms for Multi-objective Optimization, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 298--307, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002.

  833. Michelle R. Lavagna and Amalia Ercoli Finzi, Concurrent Processes within Preliminary Spacecraft Design: An Autonomous Decisional Support Based on Genetic Algorithms and Analytic Hierarchical Process, in Proceedings of the 17th International Symposium on Space Flight Dynamics, Moscow, Russia, June 2003 .

  834. Michael Lawrence. Multiobjective Genetic Algorithms for Materialized View Selection in OLAP Data Warehouses, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 699--706, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  835. M. A. Lee and R. Hartani. A Multiobjective Evolutionary Algorithms Approach to Fuzzy Modelling. In Proceedings of the Second Annual Joint Conference on Information Sciences (JCIS'95), pages 460-463, Wrightsville Beach, North Carolina, 1995.

  836. Michael A. Lee, Henrik Esbensen, and Laurent Lemaitre. The Design of Hybrid Fuzzy/Evolutionary Multiobjective Optimization Algorithms. In Proceedings of the 1995 IEEE/Nagoya University World Wiseperson Workshop, pages 118-125, Nagoya, Japan, 1995.

  837. M. A. Lee and H. Esbensen. Set Quality Measures for Characterizing Multiobjective Optimization Algorithm Behavior. In Procedings of the North American Fuzzy Information Processing Society (NAFIPS'96), Berkeley, California, 1996.

  838. M. A. Lee and H. Esbensen. Constructing Fuzzy/Evolutionary Multiobjective Optimization Algorithms. In Proceedings of the International IEEE Conference on Fuzzy System (FUZZ-IEEE'96), New Orleans, Louisiana, 1996.

  839. M. A. Lee and H. Esbensen. Multiobjective Optimization using Fuzzy/Evolutionary Algorithms. In Proceedings of the International Society for Computers and Their Applications (ISCA'96), San Francisco, California, 1996.

  840. Michael A. Lee and Henrik Esbensen. Automatic Construction of Fuzzy Controllers for Evolutionary Multiobjective Optimization Algorithms, in Proceedings of the Fifth IEEE International Conference on Fuzzy Systems, Vol. 2, pp. 1518--1523, 1996.

  841. Michael A. Lee and Henrik Esbensen. Evolutionary Algorithms Based Multiobjective Optimization Techniques for Intelligent Systems Design, in 1996 Biennial Conference of the North America Fuzzy Information Processing Society (NAFIPS'96), pp. 360--364, 1996.

  842. T.H. Lee, K.C. Tan and E.F. Khor. Control System Design Unification and Automation---A Way Forward in CACSD via Evolutionary Computation, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, pp. 152--161, IEEE Service Center, Piscataway, New Jersey, 2001 .

  843. In-Hee Lee, Soo-Yong Shin and Byoung-Tak Zhang. DNA Sequence Optimization Using Constrained Multi-Objective Evolutionary Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2270--2276, IEEE Press, Canberra, Australia, December 2003 .

  844. Héctor A. Leiva, Susana C. Esquivel and Raúl H. Gallard. Multiplicity and Local Search in Evolutionary Algorithms to Build the Pareto Front, in Proceedings of the XX International Conference of the Chilean Computer Science Society, pp. 7--13, IEEE Computer Society Press, Piscataway, New Jersey, 2000.
    845. .

  845. Michal Lemczyk and Malcolm I. Heywood. Training Binary GP Classifiers Efficiently: A Pareto-coevolutionary Approach, in Marc Ebner, Michael O'Neill, Anikó Ekárt, Leonardo Vanneschi and Anna Isabel Esparcia-Alcázar (editors), Genetic Programming, 10th European Conference, EuroGP 2007, pp. 229--240, Springer. Lecture Notes in Computer Science Vol. 4445, Valencia, Spain, April 2007 .

  846. Wen-Fung Leong and Gary G. Yen. Dynamic Population size in PSO-based Multiobjective Optimization, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 6182--6189, IEEE, Vancouver, BC, Canada, July 2006 .

  847. Kwong-Sak Leung and Yong Liang. Adaptive Elitist-Population Based Genetic Algorithm for Multimodal Function Optimization, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 1160--1171, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003 .

  848. F. Levi, M. Gobbi, G. Mastinu and M. Farina. Multi-Objective Design and Selection of One Single Optimal Solution, in Proceedings of IMECE 2004: 2004 International Mechanical Engineering Congress and R&D Expo, Anaheim, California, USA, November 2004.

  849. Jung-Ho Lewe. A Spotlight Search Method for Multi-Criteria Optimization Problems, in Proceedings of the 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, American Institute of Aeronautics and Astronautics. AIAA 2002-5432, Atlanta, Georgia, September 2002.

  850. Andrew Lewis and David Abramson. An Evolutionary Programming Algorithm for Multi-Objective Optimisation, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1926--1932, IEEE Press, Canberra, Australia, December 2003 .

  851. Juan Carlos Leyva-Lopez and Miguel Angel Aguilera-Contreras. A Multiobjective Evolutionary Algorithm for Deriving Final Ranking from a Fuzzy Outranking Relation, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 235--249, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  852. Yinzhen Li, Mitsuo Gen, and Kenichi Ida. Evolutionary Computation for Multicriteria Solid Transportation Problem with Fuzzy Numbers. In Thomas Bäck, Zbigniew Michalewicz, and Hiroaki Kitano, editors, Proceedings of the Third IEEE Conference on Evolutionary Computation, pages 596-601, Piscataway, New Jersey, 1996. IEEE Service Center.

  853. Yinzhen Li, Kenichi Ida and Mitsuo Gen. Evolutionary Program for Multicriteria Solid Transportation Problem with Fuzzy Numbers, in IEEE International Conference on Systems, Man and Cybernetics, IEEE, Vol. 3, pp. 1960--1965, 1996.

  854. Y. Li and K.F. Man. Scheduling and Planning Problem in Manufacturing Systems with Multiobjective Genetic Algorithm, in Proceedings of the 24th Annual Conference on the IEEE Industrial Electronics Society, Vol. 1, pp. 274--279, 1998.

  855. Seereeram Li, Ravichandran Mehra, Robert Smith and Randal Beard.Multi-spacecraft Trajectory Optimization and Control using Genetic Algorithm Techniques, in IEEE Aerospace Conference Proceedings, Vol. 7, IEEE, pp. 99--108, 2000.

  856. Xiaodong Li. A Real-Coded Predator-Prey Genetic Algorithm for Multiobjective Optimization, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 207--221, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  857. Xiaodong Li. A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 37--48, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003 .

  858. Hui Li, Qingfu Zhang, Edward Tsang, and John A. Ford. Hybrid Estimation of Distribution Algorithm for Multiobjective Knapsack Problem, in Jens Gottlieb and Günter R. Raidl (editors), Evolutionary Computation in Combinatorial Optimization, Proceedings of the 4th European Conference, EvoCOP 2004, Springer, pp. 145--154, Lecture Notes in Computer Science, Vol. 3004, April 2004.

  859. Xiaodong Li. Better Spread and Convergence: Particle Swarm Multiobjective Optimization Using the Maximin Fitness Function, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 117--128, Seattle, Washington, USA, June 2004.

  860. Weiqi Li. Finding Pareto-Optimal Set by Merging Attractors for a Bi-objective Traveling Salesmen Problem, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 797--810, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.

  861. Mian Li, Shapour Azarm and Vikrant Aute. A Multi-Objective Genetic Algorithm for Robust Design Optimization, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 771--778, Vol. 1, ACM Press, New York, USA, June 2005.

  862. Jin Li and Sope Taiwo. Enhancing Financial Decision Making Using Multi-Objective Financial Genetic Programming, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 7935--7942, IEEE, Vancouver, BC, Canada, July 2006 .

  863. Simon J. Liang and John M. Lewis. Job Shop Scheduling Using Multiple Criteria. In Proceedings of the Joint Hungarian-British Mechatronic Conference, pages 77-82. Computational Mechanics, September 1994.

  864. Arnaud Liefooghe, Matthieu Basseur, Laetitia Jourdan and El-Ghazali Talbi. ParadisEO-MOEO: A Framework for Evolutionary Multi-objective Optimization, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 386--400, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  865. P. Limbourg and D. Germann. Reliability Assessment and Optimization under Uncertainty in the Dempster-Shafer Framework, in 27th ESReDA SEMINAR, Glasgow, UK, 2004.

  866. Philipp Limbourg. Multi-objective Optimization of Problems with Epistemic Uncertainty, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 413--427, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  867. Philipp Limbourg and Daniel E. Salazar Aponte. An Optimization Algorithm for Imprecise Multi-Objective Problem Functions, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 459--466, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  868. Dan Lin, Shouyang Wang and Hong Yan. A multiobjective genetic algorithm for portfolio selection, in Proceedings of ICOTA 2001, Hong Kong, December 2001.

  869. Derek A. Linkens and H. Okola Nyongesa. A Distributed Genetic Algorithm for Multivariable Fuzzy Control, in IEE Colloquium on Genetic Algorithms for Control Systems Engineering, pp. 9/1--9/3, IEE, UK, 1993.

  870. Shie-Yui Liong, Soon-Thiam Khu, and Weng Tat Chan. Novel Application of Genetic Algorithm and Neural Network in Water Resources: Development of Pareto Front. In Eleventh Congress of the International Association for Hydraulic Research--Asia and Pacific Division, pages 185-194, Yogyakarta, Indonesia, 1998.

  871. Shie-Yui Liong, Soon-Thiam Khu, and Weng Tat Chan. Derivation of Pareto Front with Accelerated Convergence Genetic Algortithm (ACGA). In V. Babovic and L. C. Larsen, editors, Proceedings of the Third Hydroinformatics Conference, 1998.

  872. Joanna Lis and A. E. Eiben. A Multi-Sexual Genetic Algorithm for Multiobjective Optimization, In Toshio Fukuda and Takeshi Furuhashi, editors, Proceedings of the 1996 International Conference on Evolutionary Computation, pages 59-64, Nagoya, Japan, 1996. IEEE.

  873. Tamas R. Liszkai and Anne M. Raich. Solving Inverse Problems in Structural Damage Identification Using Advanced Genetic Algorithm Representations, in 6th World Congress of Structural and Multidisciplinary Optimization, Rio de Janeiro, Brazil, June 2005.

  874. Tung-Kuan Liu, Tadashi Ishihara, and Hikaru Inooka. Multiobjective Control Systems Design by Genetic Algorithms, In Proceedings of the 34th Society of Instrument and Control Engineers Annual Conference, pages 1521-1526, 1995.

  875. G.P. Liu and V. Kadirkamanathan. Learning with multi-objective criteria, in Fourth International Conference on Artificial Neural Networks, pp. 53--58, IEEE, 1995.

  876. Tung-Kuan Liu, Tadashi Ishihara, and Hikaru Inooka. Design of Discrete-Time Control Systems by Multiobjective Genetic Algorithms, In Toshio Fukuda and Takeshi Furuhashi, editors, Proceedings of the 1996 IEEE IECON 22nd International Conference on Industrial Electronics, Control, and Instrumentation, pages 1618-1623. IEEE, 1996.

  877. Juan Liu and Hitoshi Iba. Selecting Informative Genes Using a Multiobjective Evolutionary Algorithm, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 297--302, IEEE Service Center, Piscataway, New Jersey, May 2002.

  878. D. S. Liu, K. C. Tan, C. K. Goh and W. K. Ho. On Solving Multiobjective Bin Packing Problems using Particle Swarm Optimization, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 7448--7455, IEEE, Vancouver, BC, Canada, July 2006 .

  879. Wei Liu and Ming Liang. A Particle Swarm Optimization Approach to a Multi-objective Reconfigurable Machine Tool Design Problem, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 7986--7993, IEEE, Vancouver, BC, Canada, July 2006 .

  880. Xavier Llorà, David E. Goldberg, Ivan Traus and Ester Bernadó. Accuracy, parsimony, and generality in evolutionary learning systems via multiobjective selection, in Learning Classifier Systems, Springer, Lecture Notes in Artificial Intelligence Vol. 2661, pp. 118--142, 2002.

  881. Xavier Llorà, Kumara Sastry, David E. Goldberg, Abhimanyu Gupta and Lalitha Lakshmi. Combating User Fatigue in iGAs: Partial Ordering, Support Vector Machines, and Synthetic Fitness, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1363--1370, Vol. 2, ACM Press, New York, USA, June 2005 .

  882. Chi-Chun Lo and Wei-Hsin Chang. A Multiobjective Hybrid Genetic Algorithm for the Capacitated Multipoint Network Design Problem, in 1999 IEEE International Conference on Communications, Vol. 3, pp. 1573--1576, 1999.

  883. Jason D. Lohn, William F. Kraus and Gary L. Haith. Comparing a Coevolutionary Genetic Algorithm for Multiobjective Optimization, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1157--1162, IEEE Service Center, Piscataway, New Jersey, May 2002

  884. J. de Lope and D. Maravall. Multi-objective dynamic optimization for automatic parallel parking, in Computer Aided Systems Theory -- Eurocast 2005, pp. 513--518, Springer-Verlag. Lecture Notes in Computer Science Vol. 3643, 2005.

  885. Manuel López-Ibáñez, Luís Paquete and Thomas Stützle. On the Design of ACO for the Biobjective Quadratic Assignment Problem, in Marco Dorigo, Mauro Birattari, Christian Blum, Luca M. Gambardella, Francesco Mondada and Thomas Stützle (editors), Proceedings of the 4th International Workshop on Ant Colony Optimization and Swarm Intelligence, ANTS 2004, Belgium, Springer, Lecture Notes in Computer Science, Vol. 3172, pp. 214--225, 2004.

  886. Manuel López-Ibáñez, T. Devi Prasad and Ben Paechter. Multi-Objective Optimisation of the Pump Scheduling Problem using SPEA2, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 435--442, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  887. Antonio López-Jaimes and Carlos Coello Coello. MRMOGA: Parallel Evolutionary Multiobjective Optimization using Multiple Resolutions, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2294--2301, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.

  888. A. Loraschi, A. Tettamanzi, M. Tomassini and P. Verda. Distributed genetic algorithms with an application to portfolio selection problems, in N.C. Steele and R.F. Albrecht (editors), Artificial Neural Networks and Genetic Algorithms (ICANNGA'95), pp. 384--387, Springer, Wien, 1995.

  889. Daniel H. Loughlin and S. Ranjithan. The Neighborhood constraint method: A Genetic Algorithm-Based Multiobjective Optimization Technique. In Thomas Bäck, editor, Proceedings of the Seventh International Conference on Genetic Algorithms, pages 666-673, San Mateo, California, July 1997. Michigan State University, Morgan Kaufmann Publishers.

  890. Sushil J. Louis and Gregory J. E. Rawlins. Pareto optimality, GA-easiness and deception. In Stephanie Forrest, editor, Proceedings of the Fifth International Conference on Genetic Algorithms, pages 118-123, University of Illinois at Urbana-Champaign, 1993. Morgan Kaufmann Publishers.

  891. Haiming Lu and Gary G. Yen. Multiobjective Optimization Design via Genetic Algorithm, in Proceedings of the 2001 International Conference on Control Applications, IEEE, pp. 1190--1195, 2001.

  892. Haiming Lu and Gary G. Yen. Rank-Density Based Multiobjective Genetic Algorithm, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 944--949, IEEE Service Center, Piscataway, New Jersey, May 2002

  893. Haiming Lu and Gary G. Yen. Dynamic Population Size in Multiobjective Evolutionary Algorithms, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1648--1653, IEEE Service Center, Piscataway, New Jersey, May 2002.

  894. Chun Lu, Qiangfu Zhao, Wenjiang Pei and Zhenya He, A Multiple Objective Optimization Based GA for Designing Interpretable and Comprehensible Neural Network Trees, in Proceedings of the IEEE International Conference on Neural Networks and Signal Processing (ICNNSP03), pp. 518--521, IEEE, December 2003 .

  895. N. Lu, L.C. Jiao, H.G. Du and M.G. Gong. IFMOA: Immune Forgetting Multiobjective Optimization Algorithm, in Lipo Wang and Ke Chen and Yew S. Ong (editors), Proceedings of the First International Conference on Advances in Natural Computation, ICNC 2005, Part III, pp. 399--408, Springer. Lecture Notes in Computer Science Vol. 3612, Changsha, China, August 2005.

  896. Sean Luke and Liviu Panait. Lexicographic Parsimony Pressure, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 829--836, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  897. Kai-Yew Lum, Pierre-Marie Jacquart and Mourad Sefrioui. Constrained Optimization of Multilayered Anti-Reflection Coatings using Genetic Algorithms, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 172--177, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  898. Erika Hernández Luna, Carlos A. Coello Coello and Arturo Hernández Aguirre. On the Use of a Population-Based Particle Swarm Optimizer to Design Combinational Logic Circuits, in Ricardo S. Zebulum, David Gwaltney, Gregory Hornby, Didier Keymeulen, Jason Lohn and Adrian Stoica (editors), Proceedings of the 2004 NASA/DoD Conference on Evolvable Hardware, pp. 183--190, IEEE Computer Society, Los Alamitos, California, June 2004.

  899. F. Luna, A.J. Nebro, B. Dorronsoro, E. Alba, P. Bouvry and L. Hogie. Optimal Broadcasting in Metropolitan MANETs Using Multiobjective Scatter Search, in Franz Rothlauf et al. (editors), Applications of Evolutionary Computing. EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC, pp. 255--266, Springer, Lecture Notes in Computer Science Vol. 3907, Budapest, Hungary, April 2006 .

  900. Naesung Lyu and Kazuhiro Saitou. Topology Optimization of Multi-Component Structures Via Decomposition-Based Assembly Synthesis, in Proceedings of the ASME 2003 Design Engineering Technical Conferences and Computers and Information in Engineering Conference (DETC'2003), Chicago, Illinois, September 2003 .

  901. Naesung Lyu and Kazuhiro Saitou. Decomposition-Based Assembly Synthesis of a 3D Body-in-White Model for Structural Stiffness, in Proceedings of the 2003 ASME International Mechanical Engineering Congress (IMECE'03), ASME Press, Washington, D.C., November 15--21, 2003.

    902. M

  902. Wenping Ma, Licheng Jiao, Maoguo Gong and Fang Liu. An Novel Artificial Immune System Multi-objective Optimization Algorithm for 0/1 Knapsack Problems, in Yue Hao et al. (editors), Computational Intelligence and Security. International Conference, CIS 2005, pp. 793--798, Springer, Lecture Notes in Artificial Intelligence Vol. 3801, Xi'an, China, December 2005.

  903. M. Ma, L.B. Zhang, J. Ma and C.G. Zhou. Fuzzy neural network optimization by a particle swarm optimization algorithm, in Advances in Neural Networks--ISSN 2006, Part 1, pp. 752--761, Springer, Lecture Notes in Computer Science Vol. 3971, 2006 .

  904. Azahar T. Machwe and Ian C. Parmee. Multi-Objective Analysis of a Component Based Representation within an Interactive Evolutionary Design System, in I.C. Parmee (Editor), Adaptive Computing in Design and Manufacture 2006. Proceedings of the Seventh International Conference, pp. 217--222, The Institute for People-centred Computation, Bristol, UK, April 2006.

  905. Kenneth J. Mackin and Eiichiro Tazaki. Unsupervised training of Multiobjective Agent Communication using Genetic Programming, in Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technology, Vol. 2, pp. 738--741, IEEE, Brighton, UK, 2000.

  906. Nateri K. Madavan. Multiobjective Optimization Using a Pareto Differential Evolution Approach, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1145--1150, IEEE Service Center, Piscataway, New Jersey, May 2002

  907. J.F. Aguilar Madeira, H. Rodrigues and Heitor Pina. Genetic Methods in Multi-objective Optimization of Structures with an Equality Constraint on Volume, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 767--781, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  908. M. Mahfouf, M. F. Abbod, and D. A. Linkens. Multi-Objective Genetic Optimization of the Performance Index of Self-Organizing Fuzzy Logic Control Algorithm Using a Fuzzy Ranking Approach. In H. J. Zimmerman, editor, Proceedings of the Sixth European Congress on Intelligent Techniques and Soft Computing, pages 1799-1808, Aachen, 1998. Verlag Mainz.

  909. Mahdi Mahfouf, Min-You Chen and Derek Arturh Linkens. Adaptive Weighted Particle Swarm Optimisation for Multi-objective Optimal Design of Alloy Steels, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 762--771, Birmingham, UK, September 2004 .

  910. R. Mäkinen, P. Neittaanmäki, J. Periaux, M. Sefrioui, and J. Toivanen. Parallel genetic solution for multiobjective MDO, In A. Schiano, A. Ecer, J. Périaux, and N. Satofuka, editors, Parallel CFD'96 Conference, pages 352-359, Capri, 1996. Elsevier.

  911. R. Mäkinen, P. Neittaanmäki, J. Périaux, and J. Toivanen. A genetic Algorithm for Multiobjective Design Optimization in Aerodynamics and Electromagnetics, In K. D. Papailiou et al., editor, Computational Fluid Dynamics '98, Proceedings of the ECCOMAS 98 Conference, volume 2, pages 418-422, Athens, Greece, September 1998. Wiley.

  912. J.M. Malard, A. Heredia-Langner, D.J. Baxter, K.H. Jarman and W.R. Cannon, Constrained De Novo Peptide Identification via Multi-objective Optimization, in Online Proceedings of the Third IEEE International Workshop on High Performance Computational Biology (HiCOMB 2004), Santa Fe, New Mexico, April 26, 2004 .

  913. Kuntinee Maneeratana, Kittipong Boonlong and Nachol Chaiyaratana. Multi-objective Optimisation by Co-operative Co-evolution, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 772--781, Birmingham, UK, September 2004.

  914. Steven Manos and Leon Poladian. Novel Fibre Bragg Grating design using Multiobjective Evolutionary Algorithms, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 2089--2095, IEEE Press, Canberra, Australia, December 2003 .

  915. Steven Manos and Leon Poladian and Peter Bentley and Maryanne Large. Photonic Device Design Using Multiobjective Evolutionary Algorithms, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 636--650, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  916. Ester Bernardó i Mansilla and Josep Maria Garrell i Guiu. MOLeCS: A Multiobjective Learning Classifier System. In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee, and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), page 390, San Francisco, California, 2000. Morgan Kaufmann.

  917. S.A. Mansouri, S.M. Moattar-Husseini and S.H. Zegordi. Multi-criterion Tackling Bottleneck Machines and Exceptional Parts in Cell Formation Using Genetic Algorithms, in I.C. Parmee (Editor), Proceedings of the Fifth International Conference on Adaptive Computing Design and Manufacture (ACDM 2002), pp. 181--192, Springer-Verlag, University of Exeter, Devon, UK, April 2002 .

  918. Jiangming Mao, Kotaro Hirasawa, Jinglu Hu and Junichi Murata.Genetic Symbiosis Algorithm for Multiobjective Optimization Problem, in Proceedings of the 9th IEEE International Workshop on Robot and Human Interactive Communication (RO-MAN 2000), IEEE, pp. 137--142, 2000.

  919. Jiangming Mao, Kotaro Hirasawa, Jinglu Hu and Junichi Murata.Genetic Symbiosis Algorithm for Multiobjective Optimization Problems, Proceedings of the 2001 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 267--274, San Francisco, California, July 2001 .

  920. Jiangming Mao, Kotaro Hirasawa, Jinglu Hu and Junichi Murata.Genetic Symbiosis Algorithm for Multiobjective Optimization Problems, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 771, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

  921. Darío Maravall, Javier de Lope and Miguel ángel Patricio. Competitive Goal Coordination in Automatic Parking, in Günther R. Raidl et al. (editors), Applications of Evolutionary Computing. Proceedings of Evoworkshops 2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC, Springer. Lecture Notes in Computer Science, Volume 3005, pp. 537--548, Coimbra, Portugal, April 2004 .

  922. Teodor Marcu. A multiobjective evolutionary approach to pattern recognition for robust diagnosis of process faults. In R. J. Patton and J. Chen, editors, IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes: SAFEPROCESS'97, pages 1183-1188, Kington Upon Hull, United Kingdom, August 1997.

  923. Teodor Marcu and Paul M. Frank. Parallel Evolutionary Approach to System Identification for Process Fault Diagnosis. In Prasad S. Dhurjati and Sylvie Cauvin, editors, Procedings of the IFAC Workshop on `On-line Fault Detection and Supervision in the Chemical Process Industries', pages 113-118, Solaize (Lyon), France, 1998.

  924. T. Marcu, L. Ferariu, and P. M. Frank. Genetic Evolving of Dynamic Neural Networks with Application to Process Fault Diagnosis. In Procedings of the EUCA/IFAC/IEEE European Control Conference ECC'99, Karlsruhe, Germany, 1999. CD-ROM, F-1046,1.

  925. Simon Mardle, Sean Pascoe, and Mehrdad Tamiz. An Investigation of Genetic Algorithms for the Optimization of Multiobjective Fisheries Bioeconomic Models. In Proceedings of the Third International Conference on Multi-Objective Programming and Goal Programming: Theory and Applications (MOPGP'98), Quebec City, Canada, 1998.

  926. Carlos Eduardo Mariano Romero and Eduardo Morales Manzanares. MOAQ an Ant-Q Algorithm for Multiple Objective Optimization Problems. In W. Banzhaf, J. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela, and R. E. Smith, editors, Genetic and Evolutionary Computing Conference (GECCO 99), volume 1, pages 894-901, San Francisco, California, July 1999. Morgan Kaufmann.

  927. Carlos Eduardo Mariano Romero and Eduardo Morales Manzanares. A New Approach for the Solution of Multiple Objective Optimization Problems Based on Reinforcement Learning. In Osvaldo Cairo, L. Enrique Sucar, and Francisco J. Cantu, editors, MICAI'2000: Advances in Artificial Intelligence, pages 212-223, Acapulco, México, April 2000. Springer-Verlag.

  928. Carlos E. Mariano and Eduardo F. Morales. Distributed Reinforcement Learning for Multiple Objective Optimization Problems, In 2000 Congress on Evolutionary Computation, volume 1, pages 188-195, Piscataway, New Jersey, July 2000. IEEE Service Center.

  929. Carlos E. Mariano and Eduardo F. Morales. MDQL: A Reinforcement Learning Approach for the Solution of Multiple Objective Optimization Problems, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.

  930. Carlos E. Mariano, Víctor H. Alcocer and Eduardo Morales. Design of water-using Systems through a Multiobjective Approach, in Alwyn Barry (editor), 2003 Genetic and Evolutionary Computation Conference. Workshop Program, pp. 186--189, AAAI, Chicago, Illinois, USA, July 2003 .

  931. Carlos E. Mariano-Romero, Víctor Alcocer-Yamanaka and Eduardo F. Morales. Multiobjective Water Pinch Analysis of the Cuernavaca City Water Distribution Network, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 870--884, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.

  932. Urszula Markowska-Kaczmar and Pawel Wnuk-Lipinski. Rule Extraction from Neural Network by Genetic Algorithm with Pareto Optimization, in Leszek Rutkowski, Jörg H. Siekmann, Ryszard Tadeusiewicz and Lotfi A. Zadeh (Editors), Artificial Intelligence and Soft Computing - ICAISC 2004, 7th International Conference. Proceedings, Springer. Lecture Notes in Computer Science Vol. 3070, pp. 450--455, Zakopane, Poland, June 2004 .

  933. M.A. Martinez, J. Sanchis and X. Blasco. Genetic algorithms for multiobjective controller design, in Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach. Part 2. Proceedings, Springer-Verlag, Lecture Notes in Computer Science Vol. 3562, pp. 242--251, 2005 .

  934. Shivanajay Marwaha, Dipti Srinivasan, Chen Khong Tham and Athanasios Vasilakos. Evolutionary Fuzzy Multi-Objective Routing For Wireless Mobile Ad Hoc Networks, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1964--1971, Portland, Oregon, USA, June 2004 .

  935. Tezuka Masaru and Hiji Masahiro. Genetic Algorithm for Supply Planning Optimization under Uncertain Demand, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 2337--2346, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003 .

  936. W. Mason, V. Coverstone-Carroll, and J. Hartmann. Optimal Earth Orbiting Satellite Constellations via a Pareto Genetic Algorithm, In 1998 AIAA/AAS Astrodynamics Specialist Conference and Exhibit, pages 169-177, Boston, Massachusetts, August 1998. Paper No. AIAA 98-4381.

  937. Silvère Massebeuf, Christian Fonteix, Laszlo N. Kiss, Ivan Marc, Fernand Pla, and Kazimierz Zaras. Multicriteria Optimization and Decision Engineering of an Extrusion Process Aided by a Diploid Genetic Algorithm, In 1999 Congress on Evolutionary Computation, pages 14-21, Washington, D.C., July 1999. IEEE Service Center.

  938. N.H. Mateou and M. Moiseos and A.S. Andreou. Multi-Objective Evolutionary Fuzzy Cognitive Maps for Decision Support, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 824--830, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  939. M.A. Matos and Paulo Melo. Multiobjective Reconfiguration for Loss Reduction and Service Restorating Using Simulated Annealing, in International Conference on Electric Power Engineering, 1999 (PowerTech Budapest 99), pp. 213--218, IEEE, Budapest, Hungary, 1999.

  940. Keith B. Matthews, Susan Craw, Stewart Elder, Alan R. Sibbald, and Ian MacKenzie. Applying Genetic Algorithms to Multi-Objective Land Use Planning, In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee, and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 613-620, San Francisco, California, 2000. Morgan Kaufmann.

  941. K.B. Matthews, K. Buchan, A.R. Sibbald and Susan Craw. Using soft-systems methods to evaluate the outputs from multi-objective land use planning tools, in Proceedings of the 2002 iEMSs International Meeting, Vol. 3, pp. 247--252, International Environmental Modelling and Software Society, Lugano, Switzerland, June 2002.

  942. Andrew McIntyre and Malcolm Heywood. MOGE: GP Classification Problem Decomposition using Multi-objective Optimization, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 863--870, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  943. Michelle McPartland, Stefano Nolfi and Hussein A. Abbass. Emergence of Communication in Competitive Multi-Agent Systems: A Pareto Multi-Objective Approach, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 51--58, Vol. 1, ACM Press, New York, USA, June 2005 .

  944. Andrés L. Medaglia, Eliécer Gutiérrez and Juan Guillermo Villegas. Solving Facility Location Problems with a Tool for Rapid Development of Multi-Objective Evolutionary Algorithms (MOEAs), in Jean-Philippe Rennard (editor), Handbook of Research on Nature Inspired Computing for Economy and Management, pp. 642--660, Vol. II, Idea Group Reference, Hershey, UK, 2006, ISBN 1-59140-984-5.

  945. J. Mehnen, Th. Michelitsch, Th. Bartz-Beilstein and N. Henkenjohann. Systematic Analyses of Multi-objective Evolutionary Algorithms Applied to Real-World Problems Using Statistical Design of Experiments, in R. Teti (editor), Intelligent Computation in Manufacturing Engineering, 4th CIRP International Seminar on Intelligent Computation in Manufacturing Engineering (CIRP ICME'04), pp. 171--178, Sorrento, Naples, Italy, June 30-July 2, 2004.

  946. C. Meloni, D. Naso and B. Turchiano. Multi-objective evolutionary algorithms for a class of sequencing problems in manufacturing environments, in Proceedings of the 2003 IEEE International Conference on Systems, Man and Cybernetics, Vol. 1, pp. 8--13, IEEE, October 2003 .

  947. Y.S. Kim, W.N. Street, and F. Menczer. Feature Selection in Unsupervised Learning via Evolutionary Search ,In Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2000.

  948. H.Y. Meng, X.H. Zhang and S.Y. Liu. Intelligent multiobjective particle swarm optimization based on AER model, in Progress in Artificial Intelligence, Proceedings, pp. 178--189, Springer, Lecture Notes in Artificial Intelligence Vol. 3808, 2005.

  949. H.Y. Meng, X.H. Zhang and S.Y. Liu. A co-evolutionary particle swarm optimization-based method for multiobjective optimization, in AI 2005: Advances in Artificial Intelligence, pp. 349--359, Springer-Verlag, Lecture Notes in Artificial Intelligence Vol. 3809, 2005.

  950. S. Meshoul, K. Mahdi and M. Batouche. A quantum inspired evolutionary framework for multi-objective optimization, in Progress in Artificial Intelligence, Proceedings, pp. 190--201, Springer, Lecture Notes in Artificial Intelligence, Vol. 3808, 2005.

  951. Herve Meunier, El-Ghazali Talbi, and Philippe Reininger. A Multiobjective Genetic Algorithm for Radio Network Optimization, In 2000 Congress on Evolutionary Computation, volume 1, pages 317-324, Piscataway, New Jersey, July 2000. IEEE Service Center.

  952. X. R. Miao, P. M. Zhang, Z. H. Xu, and C. H. Chen. Multi-objective Genetic Algorithm in IHSACC Optimization Design. In Artificial Intelligence and Soft Computing (ASC'99), Honolulu, Hawaii, August 1999. ACTA Press.

  953. E. Michielssen, J. M. Sajer, and R. Mittra. Pareto-optimal design of broadband microwave absorbers using genetic algorithms, In Proceedings of the IEEE Antennas and Propagation Society International Symposium, volume 3, pages 1167-1170, Ann Arbor, Michigan, June 1993. IEEE.

  954. Ingo Mierswa. Incorporating Fuzzy Knowledge Into Fitness: Multiobjective Evolutionary 3D Design of Process Plants, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1985--1992, Vol. 2, ACM Press, New York, USA, June 2005 .

  955. Ingo Mierswa and Michael Wurst. Information Preserving Multi-Objective Feature Selection for Unsupervised Learning, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1545--1552, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  956. Natasa B. Milickovic, Michael Lahanas, Maria Papagiannopoulou, Kostas Karovzakis, Dimos Baltas and Nikolakus Zamboglou. Application of Multiobjective Genetic Algorithms in Anatomy Based Dose Optimization in Brachytherapy and its Comparation with Deterministic Algorithms, 2001 Proceedinggs of the 23rd Annual EMBS International Conference, pp. 3919--3922, IEEE, Istanbul, Turkey, October 2001.

  957. Yang Shu Min, Shao Dong Guo and Luo Yang Jie. Dynamic Archive Evolution Strategy for Multiobjective Optimization, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 135--149, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  958. George G. Mitchell, Diarmuid O'Donoghue and Adrian Trenaman. A New Operator for Efficient Evolutionary Solutions to the Travelling Salesman Problem. IASTED. Applied Informatics, Innsbruck, Austria, pages 98-103, 2000 .

  959. O. A. Mohammed and G. F. Üler. Genetic Algorithms for the Optimal Design of Electromagnetic Devices. In Conference on the Annual Review of Progress in Applied Computational Electromagnetics, volume 11, pages 386-393, 1995.

  960. A. Molina-Cristobal, I.A. Griffin, P.J. Fleming and D.H. Owens. Multiobjective Control: A Comparative Study of a Multiobjective Genetic Algorithm and Linear Matrix Inequalities, in Proceedings of the Sixth Portuguese Conference on Automatic Control, CONTROLO 2004, Faro, Portugal, June 7-9, 2004 .

  961. A. Molina-Cristobal, I.A. Griffin, P.J. Fleming and D.H. Owens. Multiobjective Controller Design: Optimising Controller Structure with Genetic Algorithms, in Proceedings of the IFAC World Congress on Automatic Control, Prague,Czech Republic, July 4-8, 2005 .

  962. A. Molina-Cristobal, C. Papageorgiou, G. T. Parks, M. C. Smith and P. J. Clarkson. Multi-objective Controller Design: Evolutionary Algorithms and Bilinear Matrix Inequalities for a Passive Suspension, in Proceedings of the 13th IFAC Workshop on Control Applications of Optimisation, pp. 386--391, Paris-Cachan, France, April 2006 .

  963. A.K. Molyneaux, G.B. Leyland and D. Favrat. A New, Clustering Evolutionary Multi-Objective Optimisation Technique. In Proceedings of the Third International Symposium on Adaptive Systems--Evolutionary Computation and Probabilistic Graphical Models, Institute of Cybernetics, Mathematics and Physics, pages 41--47, Havana, Cuba, March 19-23 2001 .

  964. David Montana, Marshall Brinn, Sean Moore, and Garrett Bidwell. Genetic Algorithms for Complex, Real-Time Scheduling. In Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics, pages 2213-2218, La Jolla, California, October 1998. IEEE.

  965. David Montana, Garrett Bidwell, Gordon Vidaver, and Jose Herrero. Scheduling and Route Selection for Military Land Moves Using Genetic Algorithms. In 1999 Congress on Evolutionary Computation, volume 2, pages 1118-1123, Washington, D.C., July 1999. IEEE Service Center.

  966. David Montana and Jason Radi. Optimizing Parameters of a Mobile Ad Hoc Network Protocol with a Genetic Algorithm, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1993--1998, Vol. 2, ACM Press, New York, USA, June 2005 .

  967. James Montgomery and Marcus Randall. Anti-pheromone as a Tool for Better Exploration of Search Space, in Marco Dorigo, Gianni Di Caro and Michael Sampels (editors), Ant Algorithms. Proceedings of the Third International Workshop, ANTS 2002, pp. 100--110, Springer. Lecture Notes in Computer Science, Vol. 2463, Brussels, Belgium, September 2002.

  968. Chiung Moon, Yin-Zhen Lin, and Mitsuo Gen. Evolutionary Algorithm for Flexible Process Sequencing with Multiple Objectives. In David B. Fogel, editor, Proceedings of the 1998 International Conference on Evolutionary Computation, pages 27-32, Piscataway, New Jersey, 1998. IEEE.

  969. M. Davis Moradkhan and Will N. Browne. A Knowledge-Based Evolution Strategy for the Multi-Objective Minimum Spanning Tree Problem, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 5540--5547, IEEE, Vancouver, BC, Canada, July 2006 .

  970. Naoki Mori, Junji Yoshida, Hisashi Tamaki, Hajime Kita, and Yoshikazu Nishikawa. Thermodynamical Selection Rule for the Genetic Algorithm. In David B. Fogel, editor, Proceedings of the Second IEEE Conference on Evolutionary Computation, pages 188-192, Piscataway, New Jersey, 1995. IEEE Service Center.

  971. M. Morita, R. Sabourin, F. Bortolozzi and C.Y. Suen. Unsupervised Feature Selection Using Multi-Objective Genetic Algorithm for Handwritten Word Recognition, in Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR'2003), pp. 666--670, Edinburgh, Scotland, August 2003.

  972. Amiram Moshaiov and Gideon Avigad. Concept-based IEC for Multi-objective Search with Robustness to Human Preference Uncertainty, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 6784--6791, IEEE, Vancouver, BC, Canada, July 2006 .

  973. Sanaz Mostaghim, Jürgen Teich and Ambrish Tyagi. Comparison of Data Structures for Storing Pareto-sets in MOEAs, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 843--848, IEEE Service Center, Piscataway, New Jersey, May 2002

  974. Sanaz Mostaghim and Jürgen Teich. Strategies for Finding Good Local Guides in Multi-objective Particle Swarm Optimization (MOPSO), in 2003 IEEE Swarm Intelligence Symposium Proceedings, IEEE Service Center, pp. 26--33, Indianapolis, Indiana, USA, April 2003 .

  975. Sanaz Mostaghim and Jürgen Teich. The Role of ε-dominance in Multi Objective Particle Swarm Optimization Methods, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1764--1771, IEEE Press, Canberra, Australia, December 2003 .

  976. S. Mostaghim, M. Hoffmann, P.H. König, Th. Frauenheim and J. Teich. Molecular Force Field Parametrization using Multi-Objective Evolutionary Algorithms, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 212--219, Portland, Oregon, USA, June 2004 .

  977. Sanaz Mostaghim and Jürgen Teich. Covering Pareto-optimal Fronts by Subswarms in Multi-objective Particle Swarm Optimization, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1404--1411, Portland, Oregon, USA, June 2004 .

  978. Silla Mullei and Peter Beling. Hybrid Evolutionary Algorithms for a Multiobjective Financial Problem, In Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics, Vol. 4, pages 3925--3930. IEEE, October 1998.

  979. Sibylle D. Müller, Ivo F. Sbalzarini, Jens H. Walther and Petros D. Koumoutsakos. Evolution Strategies for the Optimization of Microdevices, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, pp. 302--309, IEEE Service Center, Piscataway, New Jersey, 2001 .

  980. Christine L. Mumford (Valenzuela). Comparing Representations and Recombination Operators for the Multi-Objective 0/1 Knapsack Problem, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 854--861, IEEE Press, Canberra, Australia, December 2003 .

  981. Christine L. Mumford. Simple Population Replacement Strategies for a Steady-State Multi-objective Evolutionary Algorithm, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 1246--1258, Seattle, Washington, USA, June 2004 .

  982. Christine L. Mumford. A Hierarchical Evolutionary Approach to Multi-Objective Optimization, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1944--1951, Portland, Oregon, USA, June 2004 .

  983. Christine Mumford. A Hierarchical Solve-and-Merge Framework for Multi-Objective Optimization, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2241--2247, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.

  984. Tadahiko Murata and Hisao Ishibuchi. MOGA: Multi-Objective Genetic Algorithms. In Proceedings of the 2nd IEEE International Conference on Evolutionary Computing, pages 289-294, Perth, Australia, November 1995.

  985. Tadahiko Murata and Hisao Ishibuchi. Application of Two-Objective Genetic Algorithm to Flowshop Scheduling Problems with Interval Processing Time. In Proceedings of EUFIT'96, pages 443-447, Aachen, Germany, September 1996.

  986. Tadahiko Murata and Hisao Ishibuchi. Performance of Multi-Objective Genetic Algorithms for Flowshop Scheduling Problems. In Proceedings of the 14th International Conference on Production Research, pages 498-501, Osaka, Japan, August 1997.

  987. Tadahiko Murata and Hisao Ishibuchi. Constructing Multi-Objective Genetic Local Search Algorithms for Multi-Objective Flowshop Scheduling Problems. In Proceedings of the 1998 Japan-USA Symposium on Flexible Automation, pages 1353-1356, Ohtsu, Japan, July 1998.

  988. Tadahiko Murata, Hisao Ishibuchi, and Mitsuo Gen. Random Weights in Multi-Objective Genetic Algorithms. In Proceedings of the 2nd International Conference on Engineering Design and Automation, Maui, Hawaii, August 1998. Only CD-ROM Proceedings available.

  989. Tadahiko Murata, Hisao Ishibuchi, and Mitsuo Gen. Specification of Local Search Directions in Genetic Local Search Algorithms for Multi-Objective Optimization Problems. In W. Banzhaf, J. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela, and R. E. Smith, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'99), volume 1, pages 441-448, San Francisco, California, July 1999. Morgan Kaufmann.

  990. Tadahiko Murata, Hisao Ishibuchi, and Mitsuo Gen. Cellular Genetic Local Search for Multi-Objective Optimization. In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee, and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 307-314, San Francisco, California, 2000. Morgan Kaufmann.

  991. Tadahiko Murata, Shuhei Kawakami, Hiroyuki Nozawa, Mitsuo Gen and Hisao Ishibuchi.Three-Objective Genetic Algorithms for Designing Compact Fuzzy Rule-Based Systems for Pattern Classification Problems, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 485--492, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

  992. Tadahiko Murata, Hiroyuki Nozawa, Yasuhiro Tsujimura, Mitsuo Gen and Hisao Ishibuchi. Effect of Local Search on the Performance of Cellular Multi-Objective Genetic Algorithms for Designing Fuzzy Rule-based Classification Systems, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 663--668, IEEE Service Center, Piscataway, New Jersey, May 2002

  993. Tadahiko Murata, Hiroyuki Nozawa, Hisao Ishibuchi and Mitsuo Gen. Modifications of Local Search Directions for Non-dominated Solutions in Cellular Multiobjective Genetic Algorithms for Pattern Classification Problems, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 593--607, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  994. Tadahiko Murata, Shiori Kaige and Hisao Ishibuchi. Generalization of Dominance Relation-Based Replacement Rules for Memetic EMO Algorithms, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 1234--1245, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003 .

  995. Tadahiko Murata and Ryota Itai. Multi-objective Vehicle Routing Problems using Two-Fold EMO Algorithms to Enhance Solution Similarity on Non-dominated Solutions, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 885--896, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  996. Tadahiko Murata and Ryota Itai. Local Search in Two-Fold EMO Algorithm to Enhance Solution Similarity for Multi-objective Vehicle Routing Problems, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 201--215, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

    997. N

  997. Pawan K.S. Nain and Kalyanmoy Deb. Computationally Effective Search and Optimization Procedure Using Coarse to Fine Approximations, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 2081--2088, IEEE Press, Canberra, Australia, December 2003 .

  998. Dongkyung Nam, Yun Deuk Seo, Lae-Jeong Park, Cheol Hoon Park, and Bumsup Kim. Parameter Optimization of a Voltage Reference Circuit using EP. In David B. Fogel, editor, Proceedings of the 1998 International Conference on Evolutionary Computation, pages 245-266, Piscataway, New Jersey, 1998. IEEE.

  999. Dongkyung Nam and Cheol Hoon Park. Pareto-Based Cost Simulated Annealing for Multiobjective Optimization, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 522--526, Vol. 2, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  1000. S. Narayanan and S. Azarm. On Improving Multiobjective Genetic Algorithms for Design Optimization,In Proceedings of the Third World Congress of Structural and Multidisciplinary Optimization (WCSMO), Buffalo, New York, May 1999.

  1001. Boris Naujoks, Werner Haase, Jörg Ziegenhirt and Thomas Bäck. Multi Objective Airfoil Design using Single Parent Populations, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 1156--1163, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  1002. Boris Naujoks, Lars Willmes, Thomas Bäck and Werner Haase. Evaluating Multi-criteria Evolutionary Algorithms for Airfoil Optimization, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 841--850, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002 .

  1003. Boris Naujoks, Nicola Beume, and Michael Emmerich. Multi-objective Optimization using S-metric Selection: Application to three-dimensional Solution Spaces, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1282--1289, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1004. Jorge S. Navarro, José A. Moreno, and Néstor Carrasquero. Evolutionary Multi-Objective Optimization of Simulation Models. In Alberto A. Ochoa Rodrıguez, Marta R. Soto Ortiz, and Roberto Santana Hermida, editors, Second International Symposium on Artificial Intelligence (Adaptive Systems), ISAS'99, pages 242-250, La Havana, Cuba, 1999. Editorial Academia.

  1005. Alireza Nazemi, Xin Yao and Andrew H. Chan. Extracting a Set of Robust Pareto-Optimal Parameters for Hydrological Models using NSGA-II and SCEM, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 6792--6799, IEEE, Vancouver, BC, Canada, July 2006 .

  1006. Antonio J. Nebro, Francisco Luna and Enrique Alba. New Ideas in Applying Scatter Search to Multiobjective Optimization, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 443--458, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1007. Antonio J. Nebro, Juan J. Durillo, Francisco Luna, Bernabé Dorronsoro and Enrique Alba. A Cellular Genetic Algorithm for Multiobjective Optimization, in David A. Pelta and Natalio Krasnogor (editors), Proceedings of the Workshop on Nature Inspired Cooperative Strategies for Optimization (NICSO 2006), pp. 25--36, Granada, Spain, 2006 .

  1008. Antonio J. Nebro, Juan J. Durillo, Francisco Luna, Bernabé Dorronsoro and Enrique Alba. Design Issues in a Multiobjective Cellular Genetic Algorithm, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 126--140, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  1009. Nadia Nedjah and Luiza de Macedo Mourelle. Multi-Objective Evolutionary Hardware for RSA-Based Cryptosystems, in Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04), IEEE, Vol. 2, pp. 503--507, Las Vegas, Nevada, April 2004.

  1010. Nadia Nedjah and Luiza M. Mourelle. Secure Evolutionary Hardware for Public-Key Cryptosystems, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 2130--2137, Portland, Oregon, USA, June 2004.

  1011. N. Nedjah and L.D.M. Mourelle. Pareto-optimal hardware for digital circuits using SPEA, in Innovations in Applied Artificial Intelligence, Springer-Verlag, Lecture Notes in Artificial Intelligence Vol. 3533, pp. 594--604, 2005.

  1012. Martijn Neef, Dirk Thierens, and Henryk Arciszewski. A Case Study of a Multiobjective Recombinative Genetic Algorithm with Coevolutionary Sharing, In 1999 Congress on Evolutionary Computation, pages 796-803, Washington, D.C., July 1999. IEEE Service Center.

  1013. Mircea Gh. Negoita and Dragos Arotaritei. A GA with Variable Length Chromosomes for Optimization Objectives of Fuzzy Recurrent NN, in Alwyn Barry (editor), 2003 Genetic and Evolutionary Computation Conference. Workshop Program, pp. 208--213, AAAI, Chicago, Illinois, USA, July 2003 .

  1014. Marian Nemec, David W. Zingg and Thomas H. Pulliam. Multi-Point and Multi-Objective Aerodynamic Shape Optimization, in 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Paper AIAA 2002-5548, Atlantla, Georgia, USA, September 2002 .

  1015. Frank Neumann. Expected Runtimes of a Simple Evolutionary Algorithm for the Multi-objective Minimum Spanning Tree Problem, in Xin Yao et al. (editors), Parallel Problem Solving from Nature---PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science Vol. 3242, pp. 81--90, Birmingham, UK, September 2004.

  1016. Frank Neumann and Ingo Wegener. Minimum Spanning Trees Made Easier Via Multi-Objective Optimization, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 763--769, Vol. 1, ACM Press, New York, USA, June 2005 .

  1017. Patrick N. Ngatchou, Warren L.J. Fox and Mohamed A. El-Sharkawi. Multiobjective Multistatic Sonar Sensor Placement, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 9263--9269, IEEE, Vancouver, BC, Canada, July 2006 .

  1018. Matteo Nicolini. A Two-Level Evolutionary Approach to Multi-criterion Optimization of Water Supply Systems, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 736--751, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.

  1019. Y.F. Niu and L.C. Shen. Multi-resolution image fusion using AMOPSO-II, Intelligent Computing in Signal Processing and Pattern Recognition, Springer-Verlag, pp. 343--352, Lecture Notes in Control and Information Sciences Vol. 345, 2006 .

  1020. Jason Noble and Richard A. Watson. Pareto coevolution: Using performance against coevolved opponents in a game as dimensions for Pareto selection, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 493--500, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

  1021. Yusuke Nojima, Kaname Narukawa, Shiori Kaige and Hisao Ishibuchi. Effects of Removing Overlapping Solutions on the Performance of the NSGA-II Algorithm, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 341--354, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1022. James Northern and Michael Shanblatt. A Multi-objective Approach to Configuring Embedded System Architectures, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 1326--1327, Seattle, Washington, USA, June 2004 .

    1023. O

  1023. Shigeru Obayashi. Aerodynamic Inverse Optimization with Genetic Algorithms, In Proceedings of the IEEE International Conference on Industrial Technology, pages 421-425, Tongji University, 96TH8151, December 1996. IEEE Press.

  1024. S. Obayashi, T. Tsukahara, and T. Nakamura. Cascade Airfoil Design by Multiobjective Genetic Algorithms, In Second International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, pages 24-29. IEEE Conference Publication No. 446, September 1997.

  1025. S. Obayashi, S. Takahashi, and Y. Takeguchi. Niching and Elitist Models for MOGAs. In A. E. Eiben, M. Schoenauer, and H.-P. Schwefel, editors, Parallel Problem Solving From Nature -- PPSN V, pages 260-269, Amsterdam, Holland, 1998. Springer-Verlag.

  1026. Shigeru Obayashi. Multidisciplinary Design Optimization of Aircraft Wing Planform Based on Evolutionary Algorithms, In Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics, La Jolla, California, October 1998. IEEE.

  1027. S. Obayashi, S. Takahashi, and I. Fejtek. Transonic Wing Design by Inverse Optimization using MOGA, In Sixth Annual Conference of the Computational Fluid Dynamics Society of Canada, Quebec, Canada, June 1998.

  1028. Shigeru Obayashi, Kazuhiro Nakahashi, Akira Oyama, and Nobuhisa Yoshino. Design Optimization of Supersonic Wings Using Evolutionary Algorithms. In Proceedings of the Fourth ECCOMAS Computational Fluid Dynamics Conference, Athens, Greece, September 1998.

  1029. Shigeru Obayashi. Pareto Solutions of Multipoint Design of Supersonic Wings using Evolutionary Algorithms, in I.C. Parmee (editor), Adaptive Computing in Design and Manufacture V, pp. 3--15, Springer-Verlag, London, 2002 .

  1030. Shigeru Obayashi and Daisuke Sasaki. Visualization and Data Mining of Pareto Solutions Using Self-Organizing Map, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 796--809, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1031. V. Oduguwa and R. Roy. Multi-Objective Optimisation of Rolling Rod Product Design using Meta-Modelling Approach, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 1164--1171, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  1032. Victor Oduguwa, Ashutosh Tiwari and Rajkumar Roy. Handling Integrated Quantitative and Qualitative Search Space in a Real World Optimisation Problem, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 1222--1229, IEEE Press, Canberra, Australia, December 2003 .

  1033. Victor Oduguwa, Ashutosh Tiwari and Rajkumar Roy. Sequential Process Optimisation Using Genetic Algorithms, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 782--791, Birmingham, UK, September 2004.

  1034. A. Oduguwa, A. Tiwari, S. Fiorentino and R. Roy. Multi-Objective Optimisation of the Protein-Ligand Docking Problem in Drug Discovery, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1793--1800, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  1035. Ingo Oesterreichter, Andreas Mitschele, Frank Schlottmann and Detlef Seese. Comparison of Multi-Objective Evolutionary Algorithms in Optimizing Combinations of Reinsurance Contracts, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 747--748, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  1036. Jaewon Oh, Hyokyung Bahn, Chisu Wu, and Kern Koh, Pareto-based Soft Real-Time Task Scheduling in Multiprocessor Systems, 7th IEEE Asia-Pacific Software Engineering Conference (APSEC 2000), Singapore, pp. 24--29, 2000.

  1037. Choong K. Oh and Gregory J. Barlow. Autonomous Controller Design for Unmanned Aerial Vehicles using Multi-objective Genetic Programming, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1538--1545, Portland, Oregon, USA, June 2004 .

  1038. Ikki Ohmukai, Hideaki Takeda and Mitsunori Miki. A Proposal of the Person-centered Approach for Personal Task Management, in Proceedings of the 2003 Symposium on Applications and the Internet, pp. 234--240, IEEE, Orlando, Florida, January 2003 .

  1039. Tatsuya Okabe, Yaochu Jin and Bernhard Sendhoff. On the Dynamics of Evolutionary Multi-Objective Optimization, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 247--255, Morgan Kaufmann Publishers, San Francisco, California, July 2002.

  1040. Tatsuya Okabe, Kwasi Foli, Markus Olhofer, Yaochu Jin and Bernhard Sendhoff. Comparative Studies on Micro Heat Exchanger Optimization, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 1, pp. 647--654, IEEE Press, Canberra, Australia, December 2003 .

  1041. Tatsuya Okabe, Yaochu Jin and Bernhard Sendhoff. A Critical Survey of Performance Indices for Multi-Objective Optimization, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 878--885, IEEE Press, Canberra, Australia, December 2003 .

  1042. Tatsuya Okabe, Yaochu Jin and Bernhard Sendhoff. Evolutionary Multi-Objective Optimisation with a Hybrid Representation, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2262--2269, IEEE Press, Canberra, Australia, December 2003 .

  1043. Tatsuya Okabe and Yaochu Jin and Bernhard Sendhoff and Markus Olhofer. Voronoi-based Estimation of Distribution Algorithm for Multi-objective Optimization, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1594--1601, Portland, Oregon, USA, June 2004 .

  1044. Tatsuya Okabe, Yaochu Jin, Markus Olhofer and Bernhard Sendhoff. On Test Functions for Evolutionary Multi-objective Optimization, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 792--802, Birmingham, UK, September 2004 .

  1045. Tatsuya Okabe, Yaochu Jin and Bernhard Sendhoff. Theoretical Comparisons of Search Dynamics of Genetic Algorithms and Evolution Strategies, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 382--389, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1046. Gina M. B. Oliveira, José C. Bortot and Pedro P.B. de Oliveira. Multiobjective evolutionary search for one-dimensional cellular automata in the density classification task, in R. Standish, M. Bedau and H. Abbass (editors), Artificial Life VIII: The 8th International Conference on Artificial Life, pp. 202--206, MIT Press, Cambridge, Massachusetts, 2002.

  1047. L.S. Oliveira, R. Sabourin, F. Bortolozzi, and C.Y. Suen. Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Digit Recognition, in Proceedings of the 16th International Conference on Pattern Recognition (ICPR'2002), pp. 568--571, Vol. 1, Quebec City, Canada, IEEE Computer Society Press, August, 2002.

  1048. Luiz S. Oliveira, Marisa Morita, Robert Sabourin and Flávio Bortolozzi. Multi-objective Genetic Algorithms to Create Ensemble of Classifiers, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 592--606, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1049. Mahamed G.H. Omran, Andries P. Engelbrecht and Ayed Salman. Differential Evolution Methods for Unsupervised Image Classification, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 966--973, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1050. Matthias Ortmann and Wolfgang Weber.Multi-Criterion Optimization of Robot Trajectories with Evolutionary Strategies, Proceedings of the 2001 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 310--316, San Francisco, California, July 2001 .

  1051. Matthias Ortmann and Wolfgang Weber.Multi-Criterion Optimization of Robot Trajectories with Evolutionary Strategies, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 1453, Morgan Kaufmann Publishers, San Francisco, California, July 2001.

  1052. Keith A. Osman, Anthony M. Higginson, and John Moore. Improving the efficiency of vehicle water-pump designs using genetic algorithms. In C. Dagli, M. Akay, A. Buczak, O. Ersoy, and B. Fernandez, editors, Smart Engineering Systems: Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE '98), volume 8, pp. 291--296, New York, 1998. ASME, ASME Press.

  1053. Andrzej Osyczka and Sourav Kundu. A Genetic Algorithm-Based Multicriteria Optimization Method. In Proceedings of First World Congress of Structural and Multidisciplinary Optimization, pages 909-914, Goslar, Germany, May 1995. Elsevier Science.

  1054. Andrzej Osyczka and Sourav Kundu. Using genetic algorithms to solve multicriteria nonlinear programming problems. In Proceedings of Mendel'95, the 1st International Mendel Conference on Genetic Algorithms, Brno, Czech Republic, September 1995.

  1055. Andrzej Osyczka and Sourav Kundu. A Genetic Algorithm Approach to Multicriteria Network Optimization Problems. In Proceedings of the 20th International Conference on Computers and Industrial Engineering, pages 329-332, Kyongju, Korea, October 1996.

  1056. Andrzej Osyczka and H. Tamura. Pareto set distribution method for multicriteria optimization using genetic algorithm. In Proceedings of the Second International Conference on Genetic Algorithms (Mendel'96), pages 97-102, Brno, Czech Republic, June 1996.

  1057. Andrzej Osyczka, Stanislaw Krenich, and K. Karas. Optimum Design of Robot Grippers using Genetic Algorithms,In Proceedings of the Third World Congress of Structural and Multidisciplinary Optimization (WCSMO), Buffalo, New York, May 1999.

  1058. Andrzej Osyczka and Stanislaw Krenich. A New Constraint Tournament Selection Method for Multicriteria Optimization using Genetic Algorithm. In 2000 Congress on Evolutionary Computation, volume 1, pages 501-507, Piscataway, New Jersey, July 2000. IEEE Service Center.

  1059. A. Oyama, S. Obayashi, K. Nakahashi, and N. Hirose. Coding by Taguchi Method for Evolutionary Algorithms Applied to Aerodynamic Optimization, In Proceedings of the Fourth ECCOMAS Computational Fluid Dynamics Conference, pages 196-203, Athens, Greece, September 1998. John Wiley & Sons.

  1060. Akira Oyama and Shigeru Obayashi. Multidisciplinary Wing Design Optimization Using Multiobjective Evolutionary Algorithm, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.

  1061. Akira Oyama and Meng-Sing Liou. Multiobjective Optimization of Rocket Engine Pumps using Evolutionary Algorithm, In Proceedings of the 15th AIAA Computational Fluid Dynamic Conference, American Institue of Aeronautics and Astronautics, Anaheim, California, June 2001 .

  1062. Timucin Ozugur, Anand Bellary and Falguni Sarkar. Multiobjctive Hierarchical 2G/3G Mobility Management Optimization: Niched Pareto Genetic Algorithm, in Global Telecommunications Conference, IEEE, Vol. 6, pp. 3681--3685, 2001.

    1063. P

  1063. Ben Paechter, R.C. Rankin, Andrew Cumming, and Terence C. Fogarty. Timetabling the Classes of an Entire University with an Evolutionary Algorithm, In A. E. Eiben, M. Schoenauer, and H.-P. Schwefel, editors, Parallel Problem Solving From Nature -- PPSN V, Amsterdam, Holland, 1998. Springer-Verlag.

  1064. S. Palaniappan, S. Zein-Sabatto and A. Sekmen. Dynamic Multiobjective Optimization of War Resource Allocation using Adaptive Genetic Algorithm, in Proceedings of the SoutheastCon, pp. 160--165, IEEE, 2001.

  1065. Liviu Panait and Sean Luke. Alternative Bloat Control Methods, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 630--641, Seattle, Washington, USA, June 2004 .

  1066. Gisele L. Pappa, Alex A. Freitas and Celso A.A. Kaestner. Attribute Selection with a Multiobjective Genetic Algorithm, in G. Bittencourt and G.L. Ramalho (editors), Proceedings of the 16th Brazilian Symposium on Artificial Intelligence (SBIA-2002), pp. 280--290, Springer-Verlag. Lecture Notes in Artificial Intelligence Vol. 2507, 2002.

  1067. Gisele L. Pappa, Alex A. Freitas and Celso A.A. Kaestner. A Multiobjective Genetic Algorithm for Attribute Selection, in Proceedings of the 4th International Conference on Recent Advances in Soft Computing (RASC-2002), pp. 116--121, Nottingham Trent University, Nottingham, UK, December 2002.

  1068. Luis Paquete and Thomas Stützle. A Two-Phase Local Search for the Biobjective Traveling Salesman Problem, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 479--493, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1069. Luis Paquete, Marco Chiarandini and Thomas Stützle. Pareto Local Optimum Sets in the Biobjective Traveling Salesman Problem: An Experimental Study, in Xavier Gandibleux, Marc Sevaux, Kenneth Sörensen and Vincent T'kindt (editors), Metaheuristics for Multiobjective Optimisation, pp. 177--199, Springer. Lecture Notes in Economics and Mathematical Systems Vol. 535, Berlin, 2004 .

  1070. Sangbong Park, Dongkyung Nam and Cheol Hoon Park. Design of a Neural Controller Using Multiobjective Optimization for Nonminimum Phase Systems, in 1999 IEEE International Fuzzy Systems Conference Proceedings, Vol. 1, pp. 533--537, IEEE, 1999.

  1071. Geoffrey T. Parks. Multiobjective PWR Reload Core Optimization Using Genetic Algorithms. In Proceedings of the International Conference on Mathematics and Computations, Reactor Physics, and Environmental Analyses, pages 615-624, 1995.

  1072. Geoffrey T. Parks. Multiobjective Pressurised Water Reactor Reload Core Design using a Genetic Algorithm. In George D. Smith, Nigel C. Steele, and Rudolf F. Albrecht, editors, Artificial Neural Nets and Genetic Algorithms, pages 53-57, Norwich, UK, 1997. Springer-Verlag.

  1073. Geoffrey T. Parks and I. Miller. Selective Breeding in a Multiobjective Genetic Algorithm. In A. E. Eiben, M. Schoenauer, and H.-P. Schwefel, editors, Parallel Problem Solving From Nature -- PPSN V, pages 250-259, Amsterdam, Holland, 1998. Springer-Verlag.

  1074. G.T. Parks and A. Suppapitnarm. Multiobjective optimizationof PWR reload core designs using simulated annealing, Mathematics & Computation, Reactor Physics and Environmental Analysis in Nuclear Applications, Vol. 2, Madrid, Spain, pp. 1435--1444, 1999 .

  1075. I. C. Parmee and G. Purchase. The development of a directed genetic search technique for heavily constrained design spaces, In I. C. Parmee, editor, Adaptive Computing in Engineering Design and Control-'94, pages 97-102, Plymouth, UK, 1994. University of Plymouth, University of Plymouth.

  1076. Ian C. Parmee and Andrew H. Watson. Preliminary Airframe Design Using Co-Evolutionary Multiobjective Genetic Algorithms, In W. Banzhaf, J. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela, and R. E. Smith, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'99), volume 2, pages 1657-1665, San Francisco, California, July 1999. Morgan Kaufmann.

  1077. I.C. Parmee and J.A.R. Abraham. Supporting Implicit Learning via the Visualisation of COGA Multi-objective Data, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 395--402, Portland, Oregon, USA, June 2004 .

  1078. I.C. Parmee, J. Abraham, M. Shackelford, O.F. Rana and A. Shaikhali. Towards Autonomous Evolutionary Design Systems via Grid-Based Technologies, in Proceedings of ASCE 2005 International Conference on Computing in Civil Engineering, Cancun, Mexico, July 2005.

  1079. M. Parrilla Sánchez and J. Aranda Almansa. A Real Application Example of a Control Structure Selection by Means of a Multiobjective Genetic Algorithm, in José Mira and José R. álvarez (Eds.), Artificial Neural Nets Problem Solving Methods, 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN'2003.Proceedings, Part II, pp. 369--376, Springer, Lecture Notes in Computer Science, Vol. 2687, Maó, Menorca, Spain, June 3-6, 2003.

  1080. Daniel Parrott, Xiaodong Li, and Vic Ciesielski. Multi-objective Techniques in Genetic Programming for Evolving Classifiers, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1141--1148, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1081. K.E. Parsopoulos and M.N. Vrahatis. Particle Swarm Optimization Method in Multiobjective Problems, Proceedings of the 2002 ACM Symposium on Applied Computing (SAC 2002), pp. 603-607, ISBN: 1-58113-445-2, 2002.

  1082. K.E. Parsopoulos, D.K. Tasoulis and M.N. Vrahatis. Multiobjective Optimization Using Parallel Vector Evaluated Particle Swarm Optimization, in Proceedings of the IASTED International Conference on Artificial Intelligence and Applications (AIA 2004), pp. 823--828, Vol. 2, ACTA Press, Innsbruck, Austria, February 2004 .

  1083. K.E. Parsopoulos, D.K. Taoulis, N.G. Pavlidis, V.P. Plagianakos and M.N. Vrahatis. Vector Evaluated Differential Evolution for Multiobjective Optimization, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 204--211, Portland, Oregon, USA, June 2004 .

  1084. Christian Oliver Paschereit, Bruno Schuermans and Dirk Büche. Combustion Process Optimization using Evolutionary Algorithm, in Proceedings of the ASME Turbo Expo 2003, Atlanta, USA, June 2003 .

  1085. Joseph M. Pasia, Karl F. Doerner, Richard F. Hartl and Marc Reimann. A Population-Based Local Search for Solving a Bi-objective Vehicle Routing Problem, in Carlos Cotta and Jano van Hemert (editors), Evolutionary Computation in Combinatorial Optimization, 7th European Conference, EvoCOP 2007, pp. 166--175, Springer. Lecture Notes in Computer Science Vol. 4446, Valencia, Spain, April 2007 .

  1086. G.K.M. Pedersen, A.S. Langballe and R. Wisniewski. Synthesizing multi-objective H2/H-infinity dynamic controller using evolutionary algorithms, in Proceedings of the 15th IFAC World Congress, pp. 4580--4585, July 2002.

  1087. Gerulf K.M. Pedersen and David E. Goldberg. Dynamic Uniform Scaling for Multiobjective Genetic Algorithms, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 11--23, Seattle, Washington, USA, June 2004 .

  1088. Gerulf K.M. Pedersen and Zhenyu Yang. Multi-Objective PID-Controller Tuning for a Magnetic Levitation System using NSGA-II, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1737--1744, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  1089. M. Pedro, E. Monteiro and F. Boavida. An approach to off-line inter-domain QoS-aware resource optimization, in Networking 2006: Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communication Systems, pp. 247--255, Springer, Lecture Notes in Computer Science Vol. 3976, 2006 .

  1090. Martin Pelikan, Kumara Sastry and David E. Goldberg. Multiobjective hBOA, Clustering, and Scalability, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 663--670, Vol. 1, ACM Press, New York, USA, June 2005 .

  1091. R. Perez, K. Behdinan, and J. Chung. Airfoil Shape Optimization Using Genetic Algorithms. In Proceedings, 47th Annual Conference of the Canadian Aeronautic and Space Institute, Aircraft Design and Development Symposium, Ottawa, Canada, April 30 - May 3 2000 .

  1092. Ruben Perez and Kamran Behdinan. Effective Multi-Mission Aircraft Conceptual Design Optimization Using a Hybrid Multi-Objective Evolutionary Method, Proceedings of the 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, AIAA-2002-5464, American Institute of Aeronautics and Astronautics, 2002.

  1093. M. J. Pérez, J. García, L. Martí and J. M. Molina. Multi-Objective Optimization Evolutionary Algorithms in Insurance-Linked Derivatives, in Jean-Philippe Rennard (editor), Handbook of Research on Nature Inspired Computing for Economy and Management, pp. 885--908, Vol. II, Idea Group Reference, Hershey, UK, 2006, ISBN 1-59140-984-5.

  1094. Jacques Périaux, Mourad Sefrioui, and Bertrand Mantel. RCS multi-objective optimization of scattered waves by active control elements using GAs, In Proceedings of the Fourth International Conference on Control, Automation, Robotics and Vision (ICARCV'96), Singapore, 1996.

  1095. O. Peyran and W. Zhuang. Educating Initial Solutions for Genetic Algorithms: A Chip Planning Optimization Example, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 687--691, Vol. 2, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  1096. Bruno Pinaud, Pascale Kuntz and Rémi Lehn. Dynamic Graph Drawing with a Hybridized Genetic Algorithm, in I.C. Parmee (editor), Adaptive Computing in Design and Manufacture VI, pp. 365--375, Springer, London, 2004 .

  1097. Eduardo José Solteiro Pires, Paulo B. de Moura Oliveira and José António Tenreiro Machad. Multi-objective Genetic Manipulator Trajectory Planner, in Günther R. Raidl et al. (editors), Applications of Evolutionary Computing. Proceedings of Evoworkshops 2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC, Springer. Lecture Notes in Computer Science, Volume 3005, pp. 219--229, Coimbra, Portugal, April 2004 .

  1098. E.J. Solteiro Pires, J.A. Tenreiro Machado and P.B. de Moura Oliveira. Robot Trajectory Planning Using Multiobjective Genetic Algorithm Optimization, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 615--626, Seattle, Washington, USA, June 2004.

  1099. E.J. Solteiro Pires, P.B. de Moura Oliveira and J.A. Tenreiro Machado. Multi-objective MaxiMin Sorting Scheme, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 165--175, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.

  1100. Andreas Pitsillides, Costas Pattichis, A. Sekerciogli and Thanos Vassilakos. Bandwidth Allocation for Virtual Paths using Genetic Algorithms (GA-BAVP), in International Conference on Telecommunications (ICT'97), Melbourne, Australia, April 1997.

  1101. Timothy L. Pitzer, James A. Fellows, Gary B. Lamont and Andrew J. Terzuoli. Linear Ensemble Antennas Resulting from the Optimization of Log Periodic Dipole Arrays Using Genetic Algorithms, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 10958--10965, IEEE, Vancouver, BC, Canada, July 2006 .

  1102. Carlo Poloni, M. Fearon, and D. Ng. Parallelisation of Genetic Algorithms for Aerodynamic Design Optimisation. In Ian C. Parmee and M. J. Denham, editors, Proceedings of the Second International Conference on Adaptive Computing in Engineering Design and Control, pages 59-64, Plymouth, UK, 1996. University of Plymouth.

  1103. Carlo Poloni, Giovanni Mosetti, and Stefano Contessi. Multiobjective Optimization by GAs: Application to System and Component Design. In Computational Methods in Applied Sciences '96: Invited Lectures and Special Technological Sessions of the Third ECCOMAS Computational Fluid Dynamics Conference and the Second ECCOMAS Conference on Numerical Methods in Engineering, pages 258-264, Chichester, 1996. Wiley.

  1104. S.G. Ponnambalam. Evolutionary Simulated Hybrid Search Algorithms for Flow Line Scheduling, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 826--830, Vol. 2, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  1105. Wolfgang Ponweiser and Markus Vincze. The Multiple Multi Objective Problem---Definition, Solution and Evaluations, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 877--892, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  1106. A. Povoleri, M. Lavagna and A.E. Finzi. Aero-Gravity Assisted Manoeuvres within Preliminary Interplanetary Mission Design: A Multi-Objective Evolutive Algorithm Approach, in 18th International Symposium on Space Flight Dynamics,Haus der Bayerischen Wirtschaft, Munich, Germany, October 2004 .

  1107. P. Prathombutr, J. Stach and E.K. Park. An algorithm for traffic grooming in WDM optical mesh networks with multiple objectives, in Proceedings of the 12th International Conference on Computer Communications and Networks (ICCCN 2003), pp. 405--411, IEEE, October 2003 .

  1108. Andy Pryke, Sanaz Mostaghim and Alireza Nazemi. Heatmap Visualization of Population Based Multi Objective Algorithms, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 361--375, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  1109. W. Pullan. Optimising Aspects of Network Survivability, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 115--120, IEEE Service Center, Piscataway, New Jersey, May 2002

  1110. T.H. Pulliam, M. Nemec, T. Hoslt, and D.W. Zingg, Comparison of Evolutionary (Genetic) Algorithm and Adjoint Methods for Multi-Objective Viscous Airfoil Optimizations, in 41st Aerospace Sciences Meeting, Paper AIAA 2003-0298, Reno, Nevada, January 2003 .

  1111. Robin C. Purshouse and Peter J. Fleming. Why use Elitism and Sharing in a Multi-Objective Genetic Algorithm?, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 520--527, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  1112. Robin C. Purshouse and Peter J. Fleming. Conflict, Harmony, and Independence: Relationships in Evolutionary Multi-criterion Optimisation, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 16--30, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1113. Robin C. Purshouse and Peter J. Fleming. An Adaptive Divide-and-Conquer Methodology for Evolutionary Multi-criterion Optimisation, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 133--147, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1114. Robin C. Purshouse and Peter J. Fleming. Evolutionary Multi-Objective Optimisation: An Exploratory Analysis, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 2066--2073, IEEE Press, Canberra, Australia, December 2003 .

  1115. Lisa Purvis, Steven Harrington, Barry O'Sullivan and Eugene C. Freuder. Creating personalized documents: an optimization approach, in Proceedings of the 2003 ACM Symposium on Document Engineering, pp. 68--77, ACM Press, Grenoble, France, November 2003 .

    1116. Q

  1116. B. Qian, L. Wang, D.X. Huang and X. Wang. Multi-objective flow shop scheduling using differential evolution, Intelligent Computing in Signal Processing and Pattern Recognition, Springer-Verlag, pp. 1125--1136, Lecture Notes in Control and Information Sciences Vol. 345, 2006 .

  1117. Ling Qing, Wu Gang and Wang Qiuping. Restricted Evolution Based Multimodal Function Optimization in Holographic Grating Design, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 789--794, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1118. Domenico Quagliarella and Alessandro Vicini. Sub-population Policies for a Parallel Multiobjective Genetic Algorithm with Applications to Wing Design, In 1998 IEEE International Conference On Systems, Man, And Cybernetics, pages 3142--3147, Vol. 4, San Diego, California, October 1998. Institute of Electrical and Electronic Engineers (IEEE).

  1119. Domenico Quagliarella and Alessandro Vicini. Designing High-Lift Airfoils Using Genetic Algorithms, In Kaisa Miettinen, Marko M. Mäkelä, Pekka Neittaanmäki, and Jacques Periaux, editors, Proceedings of EUROGEN'99, Jyväskylä, Finland, 1999. University of Jyváskylä.

  1120. D. Quagliarella and A. Vicini. GAs for Aerodynamic Shape Design II: Multiobjective Optimization and Multi-Criteria Design, in Von Karman Institute Lecture Series 2000-07. Genetic Algorithms for Optimisation in Aeronautics and Turbomachinery, May 2000.

  1121. Nestor V. Queipo, Joseph A.C. Humphrey and Alfonso Ortega. Multiobjective Optimization of Component Placement on Printed Wiring Boards, in 1996 Inter-Society Conference on Thermal Phenomena in Electronic Systems, pp. 359--372, IEEE, 1996.

  1122. Nestor V. Queipo and Guy F. Gil. Multiobjective Optimization of Component Placement on Planar Printer Wiring Boards, in Thirteen Annual IEEE Semiconductor Thermal Measurement and Management Symposium, pp. 92--105, IEEE, 1997.

    1123. R

  1123. Lily Rachmawati and Dipti Srinivasan. A Hybrid Fuzzy Evolutionary Algorithm for a Multi-Objective Resource Allocation Problem, in Nadia Nedjah, Luiza M. Mourelle, Marley M.B.R. Vellasco, Ajith Abraham and Mario Köppen (editors), Fifth International Conference on Hybrid Intelligent Systems (HIS'05), pp. 55--60, IEEE Computer Society, Los Alamitos, California, USA, November, 2005.

  1124. L. Rachmawati and D. Srinivasan. Preference Incorporation in Multi-objective Evolutionary Algorithms: A Survey, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3385--3391, IEEE, Vancouver, BC, Canada, July 2006 .

  1125. L. Rachmawati and D. Srinivasan. A Multi-Objective Genetic Algorithm with Controllable Convergence on Knee Regions, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 6807--6814, IEEE, Vancouver, BC, Canada, July 2006 .

  1126. Lily Rachmawati and Dipti Srinivasan. A Multi-objective Evolutionary Algorithm with Weighted-Sum Niching for Convergence on Knee Regions, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 749--750, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  1127. D. Radasanu and E. Barladeanu. A Fuzzy Multiobjective Approach for Optimal Operation of Distribution Systems using Evolutionary Algorithms, in 16th International Conference and Exhibition on Electricity Distribution, Vol. 5, pp. 32--35, IEEE, 2001.

  1128. Paulo V.W. Radtke, Luiz S. Oliveira, Robert Sabourin and Tony Wong. Intelligent Zoning Design Using Multi-Objective Evolutionary Algorithms, in Proceedings of the 7th International Conference on Document Analysis and Recognition---ICDAR'2003, pp. 824--828, Edinburgh, Scotland, August 2003 .

  1129. Paulo V.W. Radtke, Tony Wong and Robert Sabourin. A Multi-objective Memetic Algorithm for Intelligent Feature Extraction, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 767--781, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.

  1130. Paulo V.W. Radtke, Tony Wong and Robert Sabourin. An Evaluation of Over-Fit Control Strategies for Multi-Objective Evolutionary Optimization, in 2006 International Joint Conference on Neural Networks (IJCNN'2006), pp. 6359--6366, IEEE, Vancouver, BC, Canada, July 2006.

  1131. Anne M. Raich and Tamas R. Liszkai. Multi-Objective Genetic Algorithms for Sensor Layout Optimization in Structural Damage Detection, in Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark J. Embrechts and Okan Ersoy (editors), Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems, and Artificial Life (ANNIE'2003), pp. 889--894, ASME Press, November 2003 .

  1132. Larry Raisanen and Roger M. Whitaker. Multi-objective optimization in area coverage problems for cellular communication networks: evaluation of an elitist evolutionary strategy, in Symposium on Applied Computing. Proceedings of the 2003 ACM symposium on Applied computing, pp. 714--720, ACM Press, Melbourne, Florida, USA, 2003.

  1133. Ramesh Rajagopalan, Chilukuri Mohan, Pramod Varshney, and Kishan Mehrotra. Multi-objective Mobile Agent Routing in Wireless Sensor Networks, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1730--1737, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1134. Menaka Rajapakse, Bertil Schmidt and Vladimir Brusic. Multi-objective evolutionary algorithm for discovering peptide binding motifs, in Franz Rothlauf et al. (editors), Applications of Evolutionary Computing. EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC, pp. 149--158, Springer, Lecture Notes in Computer Science Vol. 3907, Budapest, Hungary, April 2006 .

  1135. I. J. Ramírez-Rosado, J. L. Bernal-Agustín, V. Miranda, and L. M. Barbosa-Proenca. Multiobjective Planning of Power Distribution Systems Using Evolutionary Algorithms, In 8th IASTED International Conference (Modelling, Identification and Control-MIC'99), Innsbruck, Austria, February 1999.

  1136. S. S. Rao. Genetic Algorithmic Approach for Multiobjective Optimization of Structures. In ASME Annual Winter Meeting, Structures and Controls Optimization, volume AD-Vol. 38, pages 29-38, New Orleans, Louisiana, November 1993. ASME.

  1137. A. Rama Mohan Rao, K.C.M. Reddy and N. Arvind. Multi-objective design of laminate composites using evolutionary algorithms and artificial intelligence, in Proceedings of the International Structural Engineering Convention, pp. 290--299, SEC-2003, 2003.

  1138. Carlo R. Raquel and Prospero C. Naval, Jr. An Effective Use of Crowding Distance in Multiobjective Particle Swarm Optimization, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 257--264, Vol. 1, ACM Press, New York, USA, June 2005.

  1139. Farzan Rashidi and Mehran Rashidi. Limit Cycle Prediction in Multivariable Nonlinear Systems Using Genetic Algorithms, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 60--68, Seattle, Washington, USA, June 2004.

  1140. Frédéric Ratle, Benoît Lecarpentier, Richard Labib and Fracçois Trochu. Multi-objective Optimization of a Composite Material Spring Design Using an Evolutionary Algorithm, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 803--811, Birmingham, UK, September 2004.

  1141. Tapabrata Ray, Tai Kang, and Seow Kian Chye. An Evolutionary Algorithm for Constrained Optimization. In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee, and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 771-777, San Francisco, California, 2000. Morgan Kaufmann.

  1142. Tapabrata Ray. Constrained Robust Optimal Design using a Multiobjective Evolutionary Algorithm, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 419--424, IEEE Service Center, Piscataway, New Jersey, May 2002 .

  1143. Tapabrata Ray, Poan Choy Ling and Tai Kang. A New Fitness Assignment and Parent Selection Strategy Within an Evolutionary Algorithm for Constrained Optimization Problems, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 31--35, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  1144. Tapabrata Ray and Ruhul Sarker. Multiobjective Evolutionary Approach to the Solution of Gas Lift Optimization Problems, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 10951--10957, IEEE, Vancouver, BC, Canada, July 2006 .

  1145. A. Raji Reddy and Kalyanmoy Deb. Identification of Multiple Gene Subsets Using Multi-objective Evolutionary Algorithms, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 623--637, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1146. Patrick M. Reed, Barbara S. Minsker and David E. Goldberg.Designing a New Elitist Nondominated Sorted Genetic Algorithm for a Multiobjective Long Term Groundwater Monitoring Application, Proceedings of the 2001 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 352--358, San Francisco, California, July 2001.

  1147. Patrick M. Reed, Barbara S. Minsker and David E. Goldberg.The Practitioner's Role in Competent Search and Optimization Using Genetic Algorithms, in Don Phelps and Gerald Sehlke (editors), Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges. Proceedings of the World Water and Environmental Resources Congress, American Society of Civil Engineers. ISBN 0-7844-0569-7, Washington, DC, 2001.

  1148. Patrick M. Reed, Barbara S. Minsker and David E. Goldberg.Why Optimize Long Term Groundwater Monitoring Design? A Multiobjective Case Study of Hill Air Force Base, in Don Phelps and Gerald Sehlke (editors), Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges. Proceedings of the World Water and Environmental Resources Congress, American Society of Civil Engineers. ISBN 0-7844-0569-7, Washington, DC, 2001.

  1149. Patrick M. Reed, Barbara S. Minsker and David E. Goldberg.Designing a New Elitist Nondominated Sorted Genetic Algorithm for a Multiobjective Long Term Groundwater Monitoring Application, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 1454, Morgan Kaufmann Publishers, San Francisco, California, July 2001.

  1150. Patrick M. Reed and Barbara S. Minsker. Discovery and Negotiation using Multiobjective Genetic Algorithms: A Case Study in Groundwater Monitoring Design, in R.A. Falconer, B. Lin, E.L. Harris and C.A.M.E. Wilson (editors), Hydroinformatics 2002, Volume Two: Software Tools and Management Systems, Proceedings of the 5th International Conference on Hydroinformatics, pp. 988--993, IWA Publishing, London 2002 .

  1151. Dirk Reichelt and Lars Mönch. Multiobjective Scheduling of Jobs with Incompatible Families on Parallel Batch Machines, in Jens Gottlieb and Günther R. Raidl (editors), Evolutionary Computation in Combinatorial Optimization, 6th European Conference, EvoCOP 2006, pp. 209--221, Springer. Lecture Notes in Computer Science Vol. 3906, Budapest, Hungary, April 2006 .

  1152. Brahim Rekiek, Fabrice Pellichero, Pierre De Lit, Emanuel Falkenauer, and Alain Delchambre. A Resource Planner for Hybrid Assembly Lines. In Proceedings of the 15th International Conference on CAD/CAM Robotics & Factories of the Future CAR & FOF'99, volume 1, pages MW6-18-MW6-23, August 1999.

  1153. Brahim Rekiek. Multiple-Objectives Genetic Algorithm. In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, page 401, Orlando, Florida, July 1999.

  1154. Brahim Rekiek, Pierre De Lit, Fabrice Pellichero, Thomas L'Eglise, Emanuel Falkenauer, and Alain Delchambre. Dealing With User's Preferences in Hybrid Assembly Lines Design. In Proceedings of the MCPL'2000 Conference, 2000.

  1155. Xiaolin Ren and Barbara Minsker. Which Groundwater Remediation Objective is Better, a Realistic One or a Simple One?, in American Society of Civil Engineers (ASCE) Environmental & Water Resources Institute (EWRI) World Water & Environmental Resources Congress 2003 & Related Symposia, Philadelphia, PA, 2003 .

  1156. Margarita Reyes Sierra and Carlos A. Coello Coello. Improving PSO-Based Multi-objective Optimization Using Crowding, Mutation and ε-Dominance, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 505--519, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1157. Margarita Reyes Sierra and Carlos A. Coello Coello. Fitness Inheritance in Multi-Objective Particle Swarm Optimization, in 2005 IEEE Swarm Intelligence Symposium (SIS'05), pp. 116--123, IEEE Press, Pasadena, California, June 2005 .

  1158. Margarita Reyes Sierra and Carlos A. Coello Coello. Coevolutionary Multi-objective Optimization using Clustering Techniques, in Alexander Gelbukh, Álvaro de Albornoz and Hugo Terashima-Marín (editors), MICAI 2005: Advances in Artificial Intelligence, Springer, pp. 603--612, Lecture Notes in Artificial Intelligence Vol. 3789, Monterrey, México, November 2005 .

  1159. Margarita Reyes Sierra and Carlos A. Coello Coello. A Study of Fitness Inheritance and Approximation Techniques for Multi-Objective Particle Swarm Optimization, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 65--72, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1160. Margarita Reyes Sierra and Carlos A. Coello Coello. On-line Adaptation in Multi-Objective Particle Swarm Optimization, in 2006 Swarm Intelligence Symposium (SIS'06), pp. 61--68, IEEE Press, Indianapolis, Indiana, USA, May 2006 .

  1161. Margarita Reyes-Sierra and Carlos A. Coello Coello, Dynamic Fitness Inheritance Proportion For Multi-Objective Particle Swarm Optimization, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 89--90, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4.

  1162. Alan Reynolds and Beatriz de la Iglesia. Rule Induction Using Multi-Objective Metaheuristics: Encouraging Rule Diversity, in 2006 International Joint Conference on Neural Networks (IJCNN'2006), pp. 6375--6382, IEEE, Vancouver, BC, Canada, July 2006.

  1163. Hendrik Richter. An Evolutionary Algorithm for Controlling Chaos: The Use of Multi-objective Fitness Functions, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 308--317, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002 .

  1164. Jeffrey P. Ridder and Jason C. HandUber. Mission Planning for Joint Supression of Enemy Air Defenses Using a Genetic Algorithm, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1929--1936, Vol. 2, ACM Press, New York, USA, June 2005 .

  1165. John Rieffel and Jordan Pollack. The Emergence of Ontogenic Scaffolding in a Stochastic Development Environment, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 804--815, Seattle, Washington, USA, June 2004 .

  1166. John Rieffel and Jordan Pollack. Evolving Assembly Plans for Fully Automated Design and Assembly, in Jason Lohn, David Gwaltney, Gregory Hornby, Ricardo Zebulum, Didier Keymeulen and Adrian Stoica (editors), 2005 NASA/DoD Conference on Evolvable Hardware, pp. 165--170, IEEE Computer Society Press, Los Alamitos, California, July 2005 .

  1167. John Rieffel and Jordan Pollack. Automated Assembly as Situated Development: Using Artificial Ontogenies to Evolve Buildable 3-D Objects, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 99--106, Vol. 1, ACM Press, New York, USA, June 2005 .

  1168. John Rieffel and Jordan Pollack. Crossing the Fabrication Gap: Evolving Assembly Plans to Build 3-D Objects, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 529--536, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1169. Francisco Rivas-Dávalos and Malcolm R. Irving. An Approach Based on the Strength Pareto Evolutionary Algorithm 2 for Power Distribution System Planning, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 707--720, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1170. Tea Robic and Bodgan Filipic. DEMO: Differential Evolution for Multiobjective Optimization, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 520--533, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1171. Daniel A.M. Rocha, Elizabeth F. Gouvêa Goldbarg and Marco César Goldbarg. A Memetic Algorithm for the Biobjective Minimum Spanning Tree Problem, in Jens Gottlieb and Günther R. Raidl (editors), Evolutionary Computation in Combinatorial Optimization, 6th European Conference, EvoCOP 2006, pp. 222--233, Springer. Lecture Notes in Computer Science Vol. 3906, Budapest, Hungary, April 2006 .

  1172. Miguel Rocha, Pedro Sousa, Miguel Rio and Paulo Cortez. QoS Constrained Internet Routing with Evolutionary Algorithms, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 9270--9277, IEEE, Vancouver, BC, Canada, July 2006 .

  1173. Mayron Rodrigues de Almeida, Marco Aurélio Cavalcanti Pacheco, Sílvio Hamacher, and Marley B.R. Vellasco. The Energy Minimization Method: A Multiobjective Fitness Evaluation Technique and Its Application to the Production Scheduling in a Petroleum Refinery, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, IEEE Service Center, Piscataway, New Jersey, pp. 560--567, May 2001 .

  1174. Katya Rodríguez-Vázquez, Carlos M. Fonseca, and Peter J. Fleming. Multiobjective Genetic Programming : A Nonlinear System Identification Application, In John R. Koza, editor, Late Breaking Papers at the Genetic Programming 1997 Conference, pages 207-212, Stanford University, California, July 1997. Stanford Bookstore.

  1175. Katya Rodríguez-Vázquez and Peter J. Fleming. A Genetic Programming/NARMAX Approach to Non-Linear System Identification. In Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA'97), pages 409-414, 1997.

  1176. Katya Rodríguez-Vázquez and Peter J. Fleming. Multiobjective Genetic Programming for a Gas Turbine Engine Model Identification, In UKACC International Conference on Control'98, Vol. 2, pages 1385-1390, 1998.

  1177. Katya Rodríguez-Vázquez and Peter J. Fleming. Non-Linear System Identification: Use of Genetic Programming to Satisfy Multiple Objectives. In Ajtonyi and Czap, editors, INTCOM'98 Symposium on Intelligent Systems in Control and Measurement, pages 148-154, 1998.

  1178. Katya Rodríguez-Vázquez and Peter J. Fleming. Genetic Programming for Dynamic Chaotic Systems Modelling. In 1999 Congress on Evolutionary Computation, pages 22-28, Washington, D.C., July 1999. IEEE Service Center.

  1179. Katya Rodríguez-Vázquez. Identification of MIMO Non-Linear Systems Using Evolutionary Computation. In Late Breaking Papers at the 2000 Genetic and Evolutionary Computation Conference, pages 411-417, Las Vegas, Nevada, July 2000.

  1180. Katya Rodríguez Vázquez and Peter J. Fleming. Functionality and Optimality in Circuit Design: A Genetic Programming Approach. In Proceedings of the Third International Symposium on Adaptive Systems--Evolutionary Computation and Probabilistic Graphical Models, Institute of Cybernetics, Mathematics and Physics, pages 23--28, Havana, Cuba, March 19-23 2001 .

  1181. Jorge E. Rodríguez, Andrés L. Medaglia and Juan P. Casas. Approximation to the Optimum Design of a Motorcycle Frame using Finite Element Analysis and Evolutionary Algorithms, in Ellen J. Bass (editor), Proceedings of the 2005 IEEE Systems and Information Engineering Design Symposium, IEEE Press, pp. 277--285, 2005 .

  1182. Andrés F. Rodríguez, Traci A. Keller, Gary B. Lamont and Thomas R. Nelson. Using a Multiobjective Evolutionary Algorithm to Develop a Quantum Cascade Laser Operating in the Terahertz Frequency Range, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 9--16, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1183. James L. Rogers. Optimum Actuator Placement with a Genetic Algorithm for Aircraft Control, In Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark J. Embrechts, and Okan Ersoy, editors, Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining, and Complex Systems (ANNIE'99), pages 355-360, New York, November 1999. ASME Press.

  1184. James L. Rogers. A Parallel Approach to Optimum Actuator Selection With A Genetic Algorithm, In AIAA Paper No. 2000-4484, AIAA Guidance, Navigation, and Control Conference, Denver, Colorado, August 14-17 2000.

  1185. R. Romero-Zaliz, C. Rubio-Escudero, O. Cordon, O. Harari, C. del Val and I. Zwir. Mining structural databases: An evolutionary multi-objetive conceptual clustering methodology, in Franz Rothlauf et al. (editors), Applications of Evolutionary Computing. EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC, pp. 159--171, Springer, Lecture Notes in Computer Science Vol. 3907, Budapest, Hungary, April 2006 .

  1186. Edmund Ronald. When Selection Meets Seduction. In Larry J. Eshelman, editor, Proceedings of the Sixth International Conference on Genetic Algorithms, pages 167-173, San Mateo, California, July 1995. University of Pittsburgh, Morgan Kaufmann Publishers.

  1187. Brian J. Ross, William Ralph and Hai Zong. Evolutionary Image Synthesis Using a Model of Aesthetics, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3832--3839, IEEE, Vancouver, BC, Canada, July 2006 .

  1188. Corina Rotar. An Evolutionary Technique for Multicriterial Optimization Based on Endocrine Paradigm, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 414--415, Seattle, Washington, USA, June 2004 .

  1189. Carl Rouhiainen and Moses O. Tade. Genetic Algorithms for Optimal Scheduling of Chlorine Dosing in Water Distribution Systems, in 20th Convention of the Australian Water Association, Perth, Australia, 6-10 April 2003 .

  1190. C.J. Rouhiainen, M.O. Tade and G. West, Multi-Objective Genetic Algorithm for Optimal Scheduling of Chlorine Dosing in Water Distribution Systems, in C Maksimovic, D. Butler and F. Ali Memon (eds.), Advances in Water Supply Management, Proceedings of the International Conference on Computers and Control in the Water Industry (CCWI 2003), Imperial College, London, U.K., 15-17 September 2003, Balkema Publishers, The Netherlands, pages 459-469 .

  1191. Jon Rowe, Kevin Vinsen, and Nick Marvin. Parallel GAs for Multiobjective Functions, In Jarmo T. Alander, editor, Proceedings of the Second Nordic Workshop on Genetic Algorithms and Their Applications (2NWGA), pages 61-70, Vaasa, Finland, August 1996. University of Vaasa.

  1192. Rajkumar Roy, Ahsutosh Tiwari, Olivier Munaux and Graham Jared. Real-life engineering design optimisation: Features and techniques, In J. Martikainen and J. Tanskanen (editors) CDROM Proceedings of the 5th Online World Conference on Soft Computing in Industrial Applications (WSC5)---ISBN 951-22-5205-8, IEEE Finland, 2000.

  1193. Abhishek Roy, Nilanjan Banerjee and Sajal K. Das. An Efficient Multi-Objective QoS Routing Algorithm for Real-Time Wireless Multicasting, in Preston Jackson (editor), IEEE Semiannual Vehicular Technology Conference, Vol. 3, pp. 1160--1164, IEEE, Birmingham, Alabama, May 2002.

  1194. C. Rubio-Escudero, R. Romero-Zaliz, O. Cordón, O. Harari, C. del Val and I. Zwir. Optimal Selection of Microarray Analysis Methods Using a Conceptual Clustering Algorithm, in Franz Rothlauf et al. (editors), Applications of Evolutionary Computing. EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC, pp. 172--183, Springer, Lecture Notes in Computer Science Vol. 3907, Budapest, Hungary, April 2006 .

  1195. Olga Rudenko, Marc Schoenauer, Tiziana Bosio and Roberto Fontana. A Multiobjective Evolutionary Algorithm for Car Front End Design, in Pierre Collet, Cyril Fonlupt, Jin-Kao Hao, Evelyne Lutton and Marc Schoenauer (editors), Artificial Evolution. 5th International Conference, Evolution Artificielle, EA'2001. Selected Papers, pp. 205--216, Springer, 2001.

  1196. Olga Rudenko and Marc Schoenauer. Dominance Based Crossover Operator for Evolutionary Multi-objective Algorithms, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 812--821, Birmingham, UK, September 2004 .

  1197. Günter Rudolph. On a Multi-Objective Evolutionary Algorithm and Its Convergence to the Pareto Set, In Proceedings of the 5th IEEE Conference on Evolutionary Computation, pages 511-516, Piscataway, New Jersey, 1998. IEEE Press.

  1198. Günter Rudolph. Evolutionary Search for Minimal Elements in Partially Ordered Finite Sets. In V.W. Porto, N. Saravanan, D. Waagen, and A.E. Eiben, editors, Evolutionary Programming VII, Proceedings of the 7th Annual Conference on Evolutionary Programming, pages 345-353, Berlin, 1998. Springer .

  1199. Günter Rudolph and Alexandru Agapie. Convergence Properties of Some Multi-Objective Evolutionary Algorithms,In Proceedings of the 2000 Conference on Evolutionary Computation, volume 2, pages 1010-1016, Piscataway, New Jersey, July 2000. IEEE Press.

  1200. Günter Rudolph. Evolutionary Search under Partially Ordered Fitness Sets. In Proceedings of the International NAISO Congress on Information Science Innovations (ISI 2001), pages 818-822. ICSC Academic Press: Millet/Sliedrecht, 2001.

  1201. Günter Rudolph. Some Theoretical Properties of Evolutionary Algorithms under Partially Ordered Fitness Values. In Cs. Fabian and I. Intorsureanu, editors, Proceedings of the Evolutionary Algorithms Workshop (EAW-2001), pages 9-22, Bucharest, Romania, January 2001 .

  1202. Günter Rudolph. A Partial Order Approach to Noisy Fitness Functions, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, pp. 318--325, IEEE Service Center, Piscataway, New Jersey, 2001 .

  1203. Günter Rudolph, Boris Naujoks and Mike Preussin. Capabilities of EMOA to Detect and Preserve Equivalent Pareto Subsets, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 36--50, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  1204. Harry C.S. Rughooputh and Robert T.F. Ah King. Environmental/Economic Dispatch of Thermal Units using an Elitist Multiobjective Evolutionary Algorithm, in Proceedings of the 2003 IEEE International Conference on Industrial Technology (ICIT 2003), Vol. 1, pp. 48--53, IEEE, Maribor, Slovenia, December 2003

  1205. A. Rummler and A. Apetrei. Graph Partitioning Revised---A Multiobjective Perspective, in Proceedings of the 6th World Conference on Systemics, Cybernetics and Informatics, Orlando, Florida, USA, 2002.

  1206. Enrique H. Ruspini and Igor S. Zwir. Automated Qualitative Description of Measurements,In Proceedings of the 16th IEEE Instrumentation and Measurement Technology Conference, pp. 1086--1091, Vol. 2, IEEE Press, Venice, Italy, 1999.

  1207. Conor Ryan. Racial Harmony and Function Optimization in Genetic Algorithms--The Races Genetic Algorithm, In John R. McDonnell, Robert G. Reynolds, and David B. Fogel, editors, Evolutionary Programming IV: Proceedings of the Fourth Annual Conference on Evolutionary Programming, pages 109-125, Cambridge, Massachusetts, 1995. MIT Press.

    1208. S

  1208. Pal Saetrom and Magnus Lie Hetland, Multiobjective Evolution of Temporal Rules, in Proceedings of the 8th Scandinavian Conference on Artificial Intelligence, IOS Press, Bergen, Norway, November 2003 .

  1209. Sadiq M. Sait, Habib Youseff, and Hussain Ali. Fuzzy Simulated Evolution Algorithm for Multi-objective Optimization of VLSI Placement. In 1999 Congress on Evolutionary Computation, pages 91-97, Washington, D.C., July 1999. IEEE Service Center.

  1210. Sadiq M. Sait, Habib Youssed and Junaid A. Khan.Fuzzy Evolutionary Algorithm for VLSI Placement, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 1056--1063, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

  1211. Sadiq M. Sait, Mahmood R. Minhas and Junaid A. Kha. Performance and Low Power Driven VLSI Standard Cell Placement using Tabu Search, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 372--377, IEEE Service Center, Piscataway, New Jersey, May 2002

  1212. Sadiq M. Sait, Mohammed Faheemuddin, Mahmood R. Minhas and Syed Sanaullah. Multiobjective VLSI Cell Placement using Distributed Genetic Algorithm, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1585--1586, Vol. 2, ACM Press, New York, USA, June 2005 .

  1213. Yoshiaki Sakakura, Noriyuki Taniguchi, Yukinobu Hoshino and Katsuari Kamei. A Fuzzy Clustering Based Selection Method to Maintain Diversity in Genetic Algorithms, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 10364--10369, IEEE, Vancouver, BC, Canada, July 2006 .

  1214. Masatoshi Sakawa, Kosuke Kato, and Toshihiro Shibano. An interactive fuzzy satisficing method for multiobjective multidimensional 0-1 knapsack problems through genetic algorithms, In Proceedings of the 1996 International Conference on Evolutionary Computation (ICEC'96), pages 243-246, 1996.

  1215. Masatoshi Sakawa, Toshihiro Shibano and Kosuke Kato. An Interactive Fuzzy Satisficing Method for Multiobjective Integer Programming Problems through Genetic Algorithms, in L.C. Jain and R.K. Jain (Editors), Second International Conference on Knowledge-Based Intelligent Electronic Systems, pp. 94--100, IEEE, Adelaide, Australia, 1998.

  1216. Diego Sal and Manuel Graña. Hyperspectral image watermarking with an evolutionary algorithm, Knowledge-Based Intelligent Information and Engineering Systems, Pt 1, Proceedings, pp. 833--839, Springer, Lecture Notes in Artificial Intelligence Vol. 3681, 2005.

  1217. Daniel Salazar, Néstor Carrasquero and Blas Galván. Exploiting Comparative Studies Using Criteria: Generating Knowledge from an Analyst's Perspective, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 221--234, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1218. Maximino Salazar-Lechuga and Jonathan E. Rowe. Particle Swarm Optimization and Fitness Sharing to solve Multi-Objective Optimization Problems, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1204--1211, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1219. Maximino Salazar-Lechuga and Jonathan E. Rowe. Particle Swarm Optimization and auto-Fitness Sharing to Solve Multi-Objective Optimization Problems, in 2006 Swarm Intelligence Symposium (SIS'06), pp. 90--97, IEEE Press, Indianapolis, Indiana, USA, May 2006 .

  1220. F. Sibel Salman, Jayan Kalagnanam and Sesh Murthy. Cooperative Strategies for Solving the Bicriteria Sparse Multiple Knapsack Problem, In 1999 Congress on Evolutionary Computation, pages 53--60, Washington, D.C., July 1999. IEEE Service Center .

  1221. Nuntapon Sangkawelert and Nachol Chaiyaratana. Diversity Control in a Multi-Objective Genetic Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2704--2711, IEEE Press, Canberra, Australia, December 2003 .

  1222. Luis Vicente Santana-Quintero and Carlos A. Coello Coello. An Algorithm Based on Differential Evolution for Multiobjective Problems, in Cihan H. Dagli, Anna L. Buczak, David L. Enke, Mark J. Embrechts and Okan Ersoy (editors), Smart Engineering System Design: Neural Networks, Evolutionary Programming and Artificial Life, Vol. 15, pp. 211--220, ASME Press, St. Louis, Missouri, USA, November 2005 .

  1223. Luis V. Santana-Quintero, Víctor A. Serrano-Hernandez, Carlos A. Coello Coello, Alfredo G. Hernández-Díaz and Julián Molina. Use of Radial Basis Functions and Rough Sets for Evolutionary Multi-Objective Optimization, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 107--114, IEEE Press, Honolulu, Hawaii, USA, April 2007 .

  1224. Amâncio Santos and António Dourado Pereira Correia. Constrained GA Applied to Production and Energy Mangement of a Pulp and Paper Mill, In Janice Carroll, Hisham Haddad, Dave Oppenheim, Barrett Bryant, and Gary B. Lamont, editors, Proceedings of the 1999 ACM Symposium on Applied Computing, pages 324-332, San Antonio, Texas, 1999. ACM.

  1225. B. Sareni, J. Regnier and X. Roboam. Recombination and self-adaptation in multi-objective genetic algorithms, in Pierre Liardet, Pierre Collet, Cyril Fonlupt, Evelyne Lutton and Marc Schoenauer (editors), Artificial Evolution, 6th International Conference, Evolution Artificielle, EA 2003, Revised Selected Papers, pp. 115--126, Springer-Verlag. Lecture Notes in Computer Science Vol. 2936, Marseille, France, October, 2004.

  1226. R. Sarker, K. Liang and C. Newton. A Multiobjective Evolutionary Algorithm, in International Computer Science Convention Congress on Intelligent Systems and Applications (ISA'2000), pp. 125--131, Vol. 2, Wollongong, Australia, 2000 .

  1227. R. Sarker, H.A. Abbass and C. Newton. Solving Multiobjective Optimization Problems Using Evolutionary Algorithm, The International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA'2001), pp. 149--160, Las Vegas, Nevada, July 2001 .

  1228. R. Sarker, H.A. Abbass and S. Karim.An Evolutionary Algorithm for Constrained Multiobjective Optimization Problems, The 5th Australasia-Japan Joint Workshop on Intelligent and Evolutionary Systems (AJWIS'2001), pp. 113--122, Dunedin, New Zealand, November 2001 .

  1229. Kumara Sastry, Hussein A. Abbass, David E. Goldberg and D.D. Johnson. Sub-Structural Niching in Estimation of Distribution Algorithms, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 671--678, Vol. 1, ACM Press, New York, USA, June 2005 .

  1230. Kumara Sastry, Martin Pelikan, and David E. Goldberg. Limits of Scalability of Multiobjective Estimation of Distribution Algorithms, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2217--2224, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1231. Kumara Sastry, D.D. Johnson, Alexis L. Thompson, David E. Goldberg, Todd J. Martinez, Jeff Leiding and Jane Owens. Multiobjective Genetic Algorithms for Multiscaling Excited State Direct Dynamics in Photochemistry, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1745--1752, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  1232. Hiroshi Sato and Akira Namatame. Co-evolution in Social Interactions, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 2, IEEE Service Center, Piscataway, New Jersey, pp. 1109--1114, May 2001 .

  1233. Hiroyuki Sato, Hernán E. Aguirre and Kiyoshi Tanaka. Local Dominance Using Polar Coordinates to Enhance Multiobjective Evolutionary Algorithms, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 188--195, Portland, Oregon, USA, June 2004 .

  1234. Hiroyuki Sato, Hernán E. Aguirre and Kiyoshi Tanaka. Enhanced Multi-objective Evolutionary Algorithms Using Local Dominance, in Proceedings of the 2004 RISP International Workshop on Nonlinear Circuits and Signal Processing (NCSP 2004), pp. 319--322, The Research Institute of Signal Processing Japan, Hawaii, USA, March 2004 .

  1235. Hiroyuki Sato, Hernán E. Aguirre and Kiyoshi Tanaka. On the Locality of Dominance and Recombination in Multiobjective Evolutionary Algorithms, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 451--458, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1236. Masahiko Sato, Hernán E. Aguirre and Kiyoshi Tanaka. Effects of δ-Similar Elimination and Controlled Elitism in the NSGA-II Multiobjective Evolutionary Algorithm, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3980--398, IEEE, Vancouver, BC, Canada, July 2006 .

  1237. Dragan A. Savic, Godfrey A. Walters, and Martin Schwab. Multiobjective Genetic Algorithms for Pump Scheduling in Water Supply, In AISB International Workshop on Evolutionary Computing. Lecture Notes in Computer Science 1305, pages 227-236, Berlin, April 1997. Springer-Verlag.

  1238. Dhish Kumar Saxena and Kalyanmoy Deb. Non-linear Dimensionality Reduction Procedures for Certain Large-Dimensional Multi-objective Optimization Problems: Employing Correntropy and a Novel Maximum Variance Unfolding, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 772--787, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  1239. T. M. Sayers and J. M. Anderson. The multi-objective optimisation of a traffic control system, In Avi Ceder, editor, Proceedings of 14th International Symposium on Transportation and Traffic Theory, pages 153-176, Haifa, Israel, July 1999. Technion-Israel, Institute of Technology, Transportation Research Institute.

  1240. Ivo F. Sbalzarini, Sibylle Müller and Petros Koumoutsakos. Multiobjective Optimization using Evolutionary Algorithms, Center for Turbulence Research. Proceedings of the 2000 Summer Program, NASA Ames/Stanford University, pp. 63--74, 2000 .

  1241. J. David Schaffer. Multiple Objective Optimization with Vector Evaluated Genetic Algorithms. In Genetic Algorithms and their Applications: Proceedings of the First International Conference on Genetic Algorithms, pages 93-100. Lawrence Erlbaum, 1985.

  1242. J. David Schaffer and John J. Grefenstette. Multiobjective Learning via Genetic Algorithms. In Proceedings of the 9th International Joint Conference on Artificial Intelligence (IJCAI-85), pages 593-595, Los Angeles, California, 1985. AAAI.

  1243. Jens Scharnow, Karsten Tinnefeld and Ingo Wegener. Fitness Landscapes Based on Sorting and Shortest Paths Problems, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 54--63, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002.

  1244. Michael Scheffler and Gerhard Tröster. A Multi-Objective Test vs. Cost Optimization for Electronic Products, in Proceedings of the 26th IEEE/CPMT International Electronics Manufacturing Technology Symposium, pp. 344--351, IEEE, 2000.

  1245. Thomas Schlichter, Christian Haubelt and Jürgen Teich. Improving EA-based Design Space Exploration by Utilizing Symbolic Feasibility Tests, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1945--1952, Vol. 2, ACM Press, New York, USA, June 2005 .

  1246. Frank Schlottmann and Detlef Seese. Hybrid multi-objective evolutionary computation of constrained downside risk-return efficient sets for credit portfolio, in Proceedings of the 8th International Conference of the Society for Computational Economics. Computing in Economics and Finance, Aix-en-Provence, France, June 2002.

  1247. Frank Schlottmann, Andreas Mitschele and Detlef Seese. A Multi-objective Approach to Integrated Risk Management, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 692--706, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1248. Frank Schmiedle, Nicole Drechsler, Draniel Große and Rolf Drechsler. Priorities in Multi-Objective Optimization for Genetic Programming, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 129--136, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

  1249. Karlheinz Schmitt, Jörn Mehnen and Thomas Michelitsch. Using Predators and Preys in Evolution Strategies, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 827--828, Vol. 1, ACM Press, New York, USA, June 2005 .

  1250. P. Schroder, A. J. Chipperfield, P. J. Fleming, and N. Grum. Multi-Objective Optimization of Distributed Active Magnetic Bearing Controllers, In Genetic Algorithms in Engineering Systems: Innovations and Applications, pages 13-18. IEE, September 1997.

  1251. Oliver Schütze, Sanaz Mostaghim, Michael Dellnitz and Jürgen Teich. Covering Pareto Sets by Multilevel Evolutionary Subdivision Techniques, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 118--132, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1252. Oliver Schütze. A New Data Structure for the Nondominance problem in Multi-objective Optimization, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 509--518, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1253. Josef Schwarz and Jiri Ocenasek. Evolutionary Multiobjective Bayesian Optimization Algorithm: Experimental Study, In Proceedings of the 35th Spring International Conference: Modelling and Simulation of Systems (MOSIS'01), MARQ, Hradec and Moravici, Czech Republic, pp. 101--108, ISBN 80-85988-57-7, 2001.

  1254. Josef Schwarz and Jiri Ocenasek. Pareto Bayesian Optimization Algorithm for the Multiobjective 0/1 Knapsack Problem, in Proceedings of the 7th International Mendel Conference on Soft Computing, Mendel 2001, pp. 131--136, Brno University of Technology, Brno, Czech Republic, ISBN 80-214-1894-X, 2001.

  1255. Pasut Seeluangsawat and Prabhas Chongstitvatana. A Multiple Objective Evolutionary Algorithm for Multiple Sequence Alignment, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 477--478, Vol. 1, ACM Press, New York, USA, June 2005 .

  1256. M. Sefrioui and J. Periaux. Nash Genetic Algorithms: examples and applications, In 2000 Congress on Evolutionary Computation, volume 1, pages 509-516, San Diego, California, July 2000. IEEE Service Center.

  1257. Mourad Sefrioui and Jacques Périaux. A Hierarchical Genetic Algorithm Using Multiple Models for Optimization, In Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, Xin Yao, Evelyne Lutton, J. J. Merelo and Hans-Paul Schwefel (editors), Proceedings of the Parallel Problem Solving from Nature VI Conference, pages 879--888. Springer, 2000

  1258. Renaud Séguier and Nicolas Cladel. Multiobjectives Genetic Snakes: Application on Audio-Visual Speech Recognition, in Proceedings of the 4th EURASIP Conference focused on Video/Image Processing and Multimedia Communications (EC-VIP-MC 2003), Zagreb, Croatia, July 2003 .

  1259. Paolo Serafini. Simulated Annealing for Multiple Objective Optimization Problems. In G.H. Tzeng, H.F. Wang, U.P. Wen, and P.L. Yu, editors, Proceedings of the Tenth International Conference on Multiple Criteria Decision Making: Expand and Enrich the Domains of Thinking and Application, volume 1, pages 283-294, Berlin, 1994. Springer-Verlag.

  1260. Wenping Ma, Licheng Jiao, Maoguo Gong and Fang Liu. An Novel Artificial Immune System Multi-objective Optimization Algorithm for 0/1 Knapsack Problems, in Yue Hao et al. (editors), Computational Intelligence and Security. International Conference, CIS 2005, pp. 793--798, Springer, Lecture Notes in Artificial Intelligence Vol. 3801, Xi'an, China, December 2005.

  1261. B. Sharma, I. Parmee, M. Whittaker and A. Sedwell. Drug Discovery: Exploring the Utility of Cluster Oriented Genetic Algorithms in Virtual Library Design, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 668--675, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1262. K. J. Shaw and P. J. Fleming. An Initial Study of Practical Multi-Objective Production Scheduling using Genetic Algorithms. In Proceedings of the International Conference on Control'96, University of Exeter, UK, September 1996.

  1263. K. J. Shaw and P. J. Fleming. Initial Study of Practical Multi-Objective Genetic Algorithms for Scheduling the Production of Chilled Ready Meals, In Proceedings of Mendel'96, the 2nd International Mendel Conference on Genetic Algorithms, Brno, Czech Republic, September 1996.

  1264. K. J. Shaw and P. J. Fleming. Including Real-Life Preferences in Genetic Algorithms to Improve Optimisation of Production Schedules, In Proceedings of the GALESIA'97, pp. 239--244, Glasgow, Scotland, September 1997. IEE.

  1265. K. J. Shaw and P. J. Fleming. Use of Rules and Preferences for Schedule Builders in Genetic Algorithms Production Scheduling. In Corne and Shapiro, editors, Proceedings of the AISB'97 Workshop on Evolutionary Computation. Lecture Notes in Computer Science No. 1305, Manchester University, 1997. Springer-Verlag.

  1266. K. J. Shaw and P. J. Fleming. An Overview of Multi-Objective Genetic Algorithms for Production Scheduling. In Proceedings of the DTI/ACTT Regional Seminar in Finite Capacity Scheduling in the Process Industries, Manchester, UK, January 1997.

  1267. K. J. Shaw, A. L. Nortcliffe, M. Thompson, J. Love, C. M. Fonseca, and P. J. Fleming. Assessing the Performance of Multiobjective Genetic Algorithms for Optimization of a Batch Process Scheduling Problem, In 1999 Congress on Evolutionary Computation, pages 37-45, Washington, D.C., July 1999. IEEE Service Center.

  1268. K. J. Shaw, C. M. Fonseca, and P. J. Fleming. A Simple Demonstration of a Quantitative Technique for Comparing Multiobjective Genetic Algorithm Performance. In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pages 119-120, Orlando, Florida, July 1999.

  1269. K.J. Shaw, A.L. Nortcliffe, M. Thompson, J. Love and P.J. Fleming. Interactive Batch Process Schedule Optimization and Decision-Making using Multiobjective Genetic Algorithms, in 1999 IEEE International Conference on Systems, Man, and Cybernetics, Vol. 6, pp. 486--491, IEEE, 1999.

  1270. K. J. Shaw, P. L. Lee, H. P. Nott, and M. Thompson. Genetic Algorithms for Multiobjective Scheduling of Combined Batch/Continuous Process Plants, In 2000 Congress on Evolutionary Computation, volume 1, pages 293-300, Piscataway, New Jersey, July 2000. IEEE Service Center.

  1271. Mu Sheng-jing, Su Hong-ye, Chu Jian and Wang Yue-xuan. An New Evolutionary Multi-objective Optimization algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 914--920, IEEE Press, Canberra, Australia, December 2003 .

  1272. Chuan Shi, Yan Li and Li-shan Kang. A New Simple and Highly Efficient Multi-objective Optimal Evolutionary Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1536--1542, IEEE Press, Canberra, Australia, December 2003 .

  1273. Toshihiro Shibano and Masatoshi Sakawa. Interactive Decision Making for Fuzzy Multiobjective 0-1 Programs Through Genetic Algorithms with Double Strings, In Proceedings of the Sixth IEEE Conference on Fuzzy Systems, pages 1639-1644, 1997.

  1274. Hajime Kita Mitsuhiro Shibuya and Shigenobu Kobayashi. Integration of multi-objective and interactive genetic algorithms and its application to animation design, In Proceedings of IEEE Systems, Man, and Cybernetics, volume III, pages 646-651, 1999.

  1275. Yoshiaki Shimizu. Multi-Objective Optimization for Mixed-Integer Programs Through Hybrid Genetic Algorithm with Value Function Modeled by Neural Networks, in Proceedings of the 15th Conference of the Australian Society for Operations Research (ASOR), Vol. 2, pp. 1146--1158, 1999.

  1276. Y. Shimizu and Y. Tanaka. Practical Multi-Objective Scheduling through Soft Computing Approach, in Proceedings of the International Symposium on Scheduling, pp. 101--104, Hamamatsu, Japan, June 2002.

  1277. Koji Shimoyama, Akira Oyama and Kozo Fujii. A New Efficient and Useful Robust Optimization Approach --Design for Multi-Objective Six Sigma, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 950--957, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1278. Soo-Yong Shin, In-Hee Lee and Byoung-Tak Zhang. Microarray Probe Design Using e-Multi-Objective Evolutionary Algorithms with Thermodynamic Criteria, in Franz Rothlauf et al. (editors), Applications of Evolutionary Computing. EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC, pp. 184--195, Springer, Lecture Notes in Computer Science Vol. 3907, Budapest, Hungary, April 2006 .

  1279. Ofer M. Shir and Thomas Bäck. Niching in Evolution Strategies, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 915--916, Vol. 1, ACM Press, New York, USA, June 2005.

  1280. Jaqueline S. Shoaf and James A. Foster. A Genetic Algorithm Solution to the Efficient Set Problem: A Technique for Portfolio Selection Based on the Markowitz Model. In Proceedings of the Decision Sciences Institute Annual Meeting, pages 571-573, Orlando, Florida, 1996.

  1281. Jaqueline S. Shoaf and James A. Foster. The efficient set {GA} for stock portfolios, in Proceedings of the 1998 IEEE International Conference on Evolutionary Computation (CEC'98), pp. 354--359, IEEE Press, Anchorage, Alaska, 1998.

  1282. Li-Sun Shu, Shinn-Jang Ho, Shinn-Ying Ho, Jian-Hung Chen and Ming-Hao Hung. A Novel Multi-objective Orthogonal Simulated Annealing Algorithm for solving Multi-objective Optimization Problems with a Large Number of Parameters, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 737--747, Seattle, Washington, USA, June 2004.

  1283. Pradyumn Kumar Shukla, Kalyanmoy Deb and Santosh Tiwari. Comparing Classical Generating Methods with an Evolutionary Multi-objective Optimization Method, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 311--325, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.

  1284. Pradyumn Kumar Shukla. On Gradient Based Local Search Methods in Unconstrained Evolutionary Multi-objective Optimization, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 96--110, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  1285. Fatma Sibel Salman, Jayant Kalagnanam, and Sesh Murthy. Cooperative strategies for solving the bicriteria sparse multiple knapsack problem, In 1999 Congress on Evolutionary Computation, pages 53-60, Washington, D.C., July 1999. IEEE Service Center.

  1286. Valceres V.R. Silva, Wael Khatib and P.J. Fleming. Variable Complexity Modelling for Evolutionary Gas Turbine Control Design, in UKACC International Conference on Control, Vol. 2, pp. 1283--1288, 1998.

  1287. Vinícius L. Silva, André R. da Cruz, Eduardo G. Carrano, Frederico G. Guimarães and Ricardo H.C. Takahashi. On Nonlinear Fitness Functions for Ranking-Based Selection, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 1009--1015, IEEE, Vancouver, BC, Canada, July 2006 .

  1288. Dong-Joon Sim, Hyun-Kyo Jung, Song-Yop Hahn, and Jong-Soo Won. Application of vector optimization employing modified genetic algorithm to permanent magnet motor design. In Proceedings of Seventh Conference on Electromagnetic Field Computation - CEFEC, page 288, Okayama, Japan, March 1996.

  1289. Dong-Joon Sim, Hyun-Kyo Jung, and Song-Yop Hahn. Multiobjective optimal design of interior permanent magnet synchronous motors considering improved core loss formula, In 1997 IEEE International Electric Machines and Drives Conference Record, pages MA1/2.1-MA1/2.3, Milwaukee, Wisconsin, May 1997.

  1290. C.L. Simons and I.C. Parmee. Single and Multi-objective Genetic Operators in Object-oriented Conceptual Software Design, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1957--1958, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  1291. Abhishek Singh, Barbara Minsker and David E. Goldberg. Combining Reliability and Pareto Optimality---An Approach Using Stochastic Multi-Objective Genetic Algorithms, in American Society of Civil Engineers (ASCE) Environmental & Water Resources Institute (EWRI) World Water & Environmental Resources Congress 2003 & Related Symposia, Philadelphia, PA, 2003 .

  1292. Vijay Pratap Singh, Marc Schoenauer, and Michael Làer. A geologically-sound representation for evolutionary multi-objective subsurface identification, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2325--2332, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1293. L. Siwik and M. Kisiel-Dorohinicki. Semi-elitist evolutionary multi-agent system for multiobjective optimization, Computational Science -- ICCS 2006, Pt 3, Proceedings, pp. 831--838, Springer-Verlag, Lecture Notes in Computer Science Vol. 3993, 2006 .

  1294. R.E. Smith and Claudio Bonacina. Mating Restriction and Niching Pressure: Results from Agents and Implications for General EC, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 1382--1393, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003 .

  1295. Kevin I. Smith, Richard M. Everson and Jonathan E. Fieldsend. Dominance Measures for Multi-Objective Simulated Annealing, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 23--30, Portland, Oregon, USA, June 2004.

  1296. Guido Smits and Ekaterina Vladislavleva. Ordinal Pareto Genetic Programming, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 10471--10477, IEEE, Vancouver, BC, Canada, July 2006 .

  1297. Paul Snijders, Edwin D. de Jong, Bart de Boer and Franjo Weissing. lti-Objective Diversity Maintenance, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1429--1430, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  1298. Krzysztof Socha and Marek Kisiel-Dorohinicki. Agent-based Evolutionary Multiobjective Optimisation, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 109--114, IEEE Service Center, Piscataway, New Jersey, May 2002

  1299. Harold Soh and Michael Kirley. moPGA: Towards a New Generation of Multi-objective Genetic Algorithms, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 6166--6173, IEEE, Vancouver, BC, Canada, July 2006 .

  1300. Artem Sokolov, Alodeep Sanyal, Darell Whitley, and Yashwant Malaiya. Dynamic Power Minimization During Combinational Circuit Testing as a Traveling Salesman P roblem, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1088--1095, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1301. S. Sorooshian, L. A. Bastidas, and H. V. Gupta. Application of Multi-Objective Optimization Algorithms for Hydrologic Model Identification and Parameterization. In Proceedings of Second International Conference on Multiple Objective Decision Support Systems for Land, Water, and Environmental Management, Brisbane, Australia, August 1999.

  1302. Vasilios A. Spais and Loukas P. Petrou. Multiobjective Motion Planning for a Nonholonomic Vehicle, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 2058--2065, IEEE Press, Canberra, Australia, December 2003 .

  1303. Christian Spieth, Felix Streichert, Nora Speer and Andreas Zell. Multi-objective Model Optimization for Inferring Gene Regulatory Networks, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 607--620, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1304. T. Sreenuch, A. Tsourdos, B.A. White and E.J. Hughes. Lateral Acceleration Control Design of a Non-Linear Homing Missile using Multi-Objective Evolutionary Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 1302--1309, IEEE Press, Canberra, Australia, December 2003 .

  1305. N. Srinivas and Kalyanmoy Deb. Comparative study of vector evaluated GA and NSGA applied to multiobjective optimization. In P. K. Roy and S. D. Mehta, editors, Proceedings of the Symposium on Genetic Algorithms, pages 83-90, 1995.

  1306. Dipti Srinivasan and Tian Hou Seow. Particle Swarm Inspired Evolutionary Algorithm (PS-EA) for Multiobjective Optimization Problem, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2292--2297, IEEE Press, Canberra, Australia, December 2003 .

  1307. Dipti Srinivasan and Lily Rachmawati. An Efficient Multi-Objective Evolutionary Algorithm with Steady-State Replacement Model, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 715--722, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  1308. Timothy J. Stanley and Trevor Mudge. A Parallel Genetic Algorithm for Multiobjective Microprocessor Design, In Larry J. Eshelman, editor, Proceedings of the Sixth International Conference on Genetic Algorithms, pages 597-604, San Mateo, California, July 1995. University of Pittsburgh, Morgan Kaufmann Publishers.

  1309. Daniel Stevens, Sanjoy Das and Bala Natarajan. A Multi-objective Algorithm for DS-CDMA Code Design Based on the Clonal Selection Principle, in Hans-Georg Beyer et al. (editors), Genetic and Evolutionary Computation Conference (GECCO'2005), Vol. 2, pp. 2015--2020, ACM Press, New York, USA, June 2005 .

  1310. R. Stirrup, D. Loebis, A.J. Chipperfield, K.S. Tang, S. Kwong and K.F. Man. Gain-Scheduled Control of a Solar Power Plant Using a Hierarchical MOGA-Tuned Fuzzy PI-Controller, in IEEE International Symposium on Industrial Electronics, Vol. 1, pp. 25--29, Pusan, Korea, 2001.

  1311. Felix Streichert, Gunnar Stein, Holger Ulmer and Andreas Zell. A Clustering Based Niching Method for Evolutionary Algorithms, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 644--645, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003 .

  1312. Felix Streichert, Holger Ulmer and Andreas Zell. Comparing Discrete and Continuous Genotypes on the Constrained Portfolio Selection Problem, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 1239--1250, Seattle, Washington, USA, June 2004 .

  1313. Felix Streichert, Holger Ulmer and Andreas Zell. Evaluating a Hybrid Encoding and Three Crossover Operators on the Constrained Portfolio Selection Problem, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 932--939, Portland, Oregon, USA, June 2004 .

  1314. Felix Streichert, Gunnar Stein, Holger Ulmer and Andreas Zell. A Clustering Based Niching EA for Multimodal Search Spaces, in Pierre Liardet, Pierre Collet, Cyril Fonlupt, Evelyne Lutton and Marc Schoenauer (editors), Artificial Evolution, 6th International Conference, Evolution Artificielle, EA 2003, Revised Selected Papers, pp. 293--304, Springer-Verlag. Lecture Notes in Computer Science Vol. 2936, Marseille, France, October, 2004.

  1315. Felix Streichert, Holger Ulmer and Andreas Zell. Parallelization of Multi-objective Evolutionary Algorithms Using Clustering Algorithms, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 92--107, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1316. Felix Streichert and Mieko Tanaka-Yamawaki. The Effect of Local Search on the Constrained Portfolio Selection Problem, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 8537--8543, IEEE, Vancouver, BC, Canada, July 2006 .

  1317. Raj Subbu, Piero P. Bonissone, Neil Eklund, Srinivas Bollapragada, and Kete Chalermkraivuth. Multiobjective Financial Portfolio Design: A Hybrid Evolutionary Approach, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1722--1729, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1318. Nasri Sulaiman and Tughrul Arslan. A Multi-objective Genetic Algorithm for On-chip Real-time Optimisation of Word Length and Power Consumption in a Pipelined FFT Processor targeting a MC-CDMA Receiver, in Jason Lohn, David Gwaltney, Gregory Hornby, Ricardo Zebulum, Didier Keymeulen and Adrian Stoica (editors), 2005 NASA/DoD Conference on Evolvable Hardware, pp. 154--159, IEEE Computer Society Press, Los Alamitos, California, July 2005 .

  1319. André Sülflow, Nicole Drechsler and Rolf Drechsler. Robust Multi-Objective Optimization in High Dimensional Spaces, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 715--726, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  1320. Dazhi Sun, Rahim F. Benekohal and S. Travis Waller. Multi-objective Traffic Signal Timing Optimization Using Non-dominated Sorting Genetic Algorithm II, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 2420--2421, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003 .

  1321. A. Suppapitnarm and K.A. Seffen and G.T. Parks and J.-S. Liu. Design by multi-objective optimisation using simulated annealing, Proceedings of the 12th International Conference in Engineering Design (ICED'99), Vol. 3, Munich, Germany, pp. 1395--1400, 1999 .

  1322. A. Suppapitnarm, K.A. Seffen, G.T. Parks and A.M. Connor. Multiobjective optimisation of bicycle frames using simulated annealing, Proceedings of the First ASMO/ISSMO Conference on Engineering Design Optimization, Vol. 1, Ilkley, West Yorkshire, pp. 357--364, 1999.

  1323. A. Suppapitnarm, G.T. Parks, K. Shea and P.J. Clarkson. A Multiobjective Optimisation Approach for the Conceptual Design of Frame Structures, in I.C. Parmee (editor), Adaptive Computing in Design and Manufacture V, pp. 109--120, Springer-Verlag, London, 2002 .

  1324. Patrick D. Surry, Nicholas J. Radcliffe, and Ian D. Boyd. A Multi-Objective Approach to Constrained Optimisation of Gas Supply Networks : The COMOGA Method, In Terence C. Fogarty, editor, Evolutionary Computing. AISB Workshop. Selected Papers, Lecture Notes in Computer Science, pages 166-180, Sheffield, U.K., 1995. Springer-Verlag.

  1325. Toshihiro Suzuki, Takeshi Furukashi, Seiichi Matsushita and Hiroaki Tsutsui. Efficient Fuzzy Modeling under Multiple Criteria by Using Genetic Algorithm, in IEEE International Conference on Systems, Man, and Cybernetics, pp. 314--319, Vol. 5, IEEE, 1999.

  1326. Gilbert Syswerda and Jeff Palmucci. The Application of Genetic Algorithms to Resource Scheduling. In Richard K. Belew and Lashon B. Booke8, San Mateo, California, 1991. Morgan Kaufmann.

  1327. Ricardo Szmit and Amnon Barak. Evolution Strategies for a Parallel Multi-Objective Genetic Algorithm. In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee, and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 227-234, San Francisco, California, 2000. Morgan Kaufmann.

    1328. T

  1328. Tatsuhiro Tachibana, Yoshihiro Murata, Naoki Shibata, Keiichi Yasumoto and Minoru Ito. A Hardware Implementation Method of Multi-Objective Genetic Algorithms, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 10922--10929, IEEE, Vancouver, BC, Canada, July 2006 .

  1329. T. Tagami and T. Kawabe. Genetic Algorithm with a Pareto Partitioning Method for Multi-objective Flowshop Scheduling. In Proceedings of the 1998 International Symposium of Nonlinear Theory and its Applications (NOLTA'98), pages 1069-1072, Crans-Montana, 1998.

  1330. T. Tagami and T. Kawabe. Genetic Algorithm based on a Pareto Neighborhood Search for Multiobjective Optimization. In Proceedings of the 1999 International Symposium of Nonlinear Theory and its Applications (NOLTA'99), pages 331-334, Hawaii, 1999.

  1331. Kiyoharu Tagawa, Noboru Wakabayashi, Kenji Kanesige and Hiromasa Haneda. A New Genetic Algorithm based on Anti-Darwinism for Multi-Objective Part-Tool Grouping Problem, Proceedings of the 2000 IEEE International Symposium on Industrial Electronics (ISIE'2000), Vol. 2, pp. 782--787, IEEE, 2000.

  1332. Kiyoharu Tagawa and Norihiko Kojima. Multi-Objective Optimum Design of DMS Filters Using Robust Engineering and Genetic Algorithm, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 7972--7978, IEEE, Vancouver, BC, Canada, July 2006 .

  1333. Tai Kang, G.Y. Cui, and Tapabrata Ray. Design Synthesis of Path Generating Compliant Mechanisms by Evolutionary Optimization of Topology and Shape. In ASME DETC 2000 Design Automation Conference, Baltimore, Maryland, 2000

  1334. Y. Takada, M. Yamamura, and S. Kobayashi. An Approach to Portfolio Selection Problems Using Multi-Objective Genetic Algorithms. In Proceedings of the 23rd Symposium on Intelligent Systems, pages 103-108, 1996.

  1335. S. Takahashi, S. Obayashi, and K. Nakahashi. Transonic Shock-Free Wing Design with Multiobjective Genetic Algorithms. In Proceedings of the International Conference on Fluid Engineering, volume 1, pages 425-429, Tokyo, Japan, July 1997.

  1336. Ricardo H.C. Takahashi, Reinaldo M. Palhares, Daniel A. Cutra and Leila P.S. Gonçalves. Synthesis and characterization of Pareto-optimal solutions for the mixed $H_2/H_\infty$ control problem, in Proceedings of the 40th IEEE International Conference on Decision and Control, Vol. 4, IEEE, pp. 3997--4002, 2001.

  1337. Hisashi Tamaki, M. Mori, M. Araki, Y. Mishima, and H. Ogai. Multi-Criteria Optimization by Genetic Algorithms : A Case of Scheduling in Hot Rolling Process. In Proceedings of the 3rd Conference of the Association of Asian-Pacific Operational Research Societies within IFORS (APORS'94), pages 374-381. World Scientific, 1995.

  1338. Hisashi Tamaki, Hajime Kita, and Shigenobu Kobayashi. Multi-Objective Optimization by Genetic Algorithms : A Review, In Toshio Fukuda and Takeshi Furuhashi, editors, Proceedings of the 1996 International Conference on Evolutionary Computation (ICEC'96), pages 517-522, Nagoya, Japan, 1996. IEEE.

  1339. Hisashi Tamaki, T. Mukai, K. Kawakami, and M. Araki. Genetic Algorithm Approach to Multi-Objective Scheduling Problems with Regular and Non-Regular Objective Functions. In Toshio Fukuda and Takeshi Furuhashi, editors, Proceedings of the International Conferences on Advances in Production Management Systems (APMS'96), pages 553-556, 1996.

  1340. Hisashi Tamaki and Etsuo Nishino. A Genetic Algorithm Approach to Multi-Objective Scheduling Problems with Regular and Non-Regular Objective Functions. In Proceedings of the 8th IFAC/IFORS/IMACS/IFIP Symposium on Large Scale Systems : Theory and Applications (LSS'98), pages 289-294, 1998.

  1341. Hisashi Tamaki, Etsuo Nishino, and Shigeo Abe. A Genetic Algorithm Approach to Multi-Objective Scheduling Problems with Earliness and Tardiness Penalties, In 1999 Congress on Evolutionary Computation, pages 46-52, Washington, D.C., July 1999. IEEE Service Center.

  1342. Hiroyuki Tamura, Tomohiro Shibata, Shinji Tomiyama and Itsuo Hatono. A Meta-Heuristic Satisfacing Tradeoff Method for Solving Multiobjective Combinatorial Optimization Problems--With Application to Flowshop Scheduling--, in 1999 IEEE International Conference on Systems, Man, and Cybernetics, Vol. 3, pp. 539--544, IEEE, 1999.

  1343. Kay Chen Tan and Yun Li. Multi-objective genetic algorithm based time and frequency domain design unification of linear control systems. In IFAC International Symposium on Artificial Intelligence and Real-Time Control, pages 61-66, Kuala Lumpa, Malaysia, September 1997.

  1344. K. C. Tan, T. H. Lee, and E. F. Khor. Evolutionary Algorithms with Goal and Priority Information for Multi-Objective Optimization. In 1999 Congress on Evolutionary Computation, pages 106-113, Washington, D.C., July 1999. IEEE Service Center.

  1345. K. C. Tan, T. H. Lee, and E. F. Khor. Control system design automation with robust tracking thumbprint performance using a multi-objective evolutionary algorithm, In IEEE Int. Conf. Control Appl. and Sys. Design, pages 498-503, Hawaii, 1999.

  1346. K. C. Tan, T. H. Lee, D. Khoo, and E. F. Khor. MOEA Toolbox for Computer-Aided Multi-Objective Optimization. In 2000 Congress on Evolutionary Computation, volume 1, pages 38-45, Piscataway, New Jersey, July 2000. IEEE Service Center.

  1347. K. C. Tan, T. H. Lee, E. F. Khor, and R. Sathikannan. Incremented multi-objective evolutionary design automation of robust tracking thumbprint performances in QFT. In Proceedings of the International Conference on Evolutionary Computation for Computer, Communication, Control and Power, pages 137-142, Chennai, India, 2000.

  1348. K. C. Tan, T. H. Lee, E. F. Khor, and K. Ou. Control system design unification and automation using an incremented multi-objective evolutionary algorithm. In Proceedings of the 19th IASTED International Conference on Modeling, Identification and Control, Innsbruck, Austria, 2000.

  1349. K.C. Tan, T.H. Lee and E.F. Khor. Automatic Design of Multivariable QFT Control System via Evolutionary Computation, in Stefano Cagnoni et al. (eds.), Proceedings of Real World Applications of Evolutionary Computing. EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoRob, and EvoFlight, pp. 178--194, Springer. Lecture Notes in Computer Science Vol. 1803, Edinburgh, Scotland, April 2000.

  1350. K.C. Tan, T.H. Lee, and E.F. Khor. Evolutionary Algorithms for Multi-Objective Optimiztion: Performance Assessments and Comparisons, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 2, IEEE Service Center, Piscataway, New Jersey, pp. 979--986, May 2001 .

  1351. K.C. Tan, E.F. Khor, C.M. Heng and T.H. Lee.Exploratory Multi-Objective Evolutionary Algorithm: Performance Study and Comparisons, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 647--654, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

  1352. K.C. Tan, K. Sengupta, T.H. Lee and R. Sathikannan. Autonomous Registration of Disparate Spatial Data via an Evolutionary Algorithm Toolbox, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 31--36, IEEE Service Center, Piscataway, New Jersey, May 2002.

  1353. K.C. Tan, T.H. Lee, Y.H. Chew and L.H. Lee. A Hybrid Multiobjective Evolutionary Algorithm For Solving Truck and Trailer Vehicle Routing Problems, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 2134--2141, IEEE Press, Canberra, Australia, December 2003 .

  1354. K.C. Tan, Y.J. Yang and T.H. Lee. A Distributed Cooperative Coevolutionary Algorithm for Multiobjective Optimization, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2513--2520, IEEE Press, Canberra, Australia, December 2003 .

  1355. K.C. Tan, Y.J. Yang, C.K. Goh and T.H. Lee. Enhanced Distribution and Exploration for Multiobjective Evolutionary Algorithms, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2521--2528, IEEE Press, Canberra, Australia, December 2003 .

  1356. K.C. Tan, Y.H. Chew, T.H. Lee and Y.J. Yang. A Cooperative Coevolutionary Algorithm for Multiobjective Optimization, in Proceedings of the 2003 IEEE International Conference on Systems, Man and Cybernetics, Vol. 1, pp. 390--395, IEEE Press, 2003.

  1357. Masahiro Tanaka and Tetsuzo Tanino. Global optimization by the genetic algorithm in a multiobjective decision support system. In Proceedings of the 10th International Conference on Multiple Criteria Decision Making, volume 2, pages 261-270, 1992.

  1358. Masahiro Tanaka, Hikaru Watanabe, Yasuyuki Furukawa, and Tetsuzo Tanino. GA-Based Decision Support System for Multicriteria Optimization, In Proceedings of the International Conference on Systems, Man, and Cybernetics, volume 2, pages 1556-1561, Piscataway, NJ, 1995. IEEE.

  1359. K. S. Tang, K. F. Man, and K. T. Ko. Wireless LAN Design using Hierarchical Genetic Algorithm. In Thomas Bäck, editor, Proceedings of the Seventh International Conference on Genetic Algorithms, pages 629-635, San Mateo, California, July 1997. Michigan State University, Morgan Kaufmann Publishers.

  1360. K.S. Tang, K.F. Man and G. Chen. Solar Plant Control using Genetic Fuzzy PID Controller, in 26th Annual Conference of the IEEE Indutrial Electronics Society, Vol. 3, pp. 1686--1691, IEEE, 2000.

  1361. Tetsuzo Tanino, Masahiro Tanaka, and Chihirp Hojo. An interactive multicriteria decision making method by using a genetic algorithm. In Proceedings of 2nd International Conference on Systems Science and Systens Engineering, pages 381-386, 1993.

  1362. M. Tava and S. Suzuki. Optimal re-entry trajectory design by interactive multiobjective optimization with parallel programming, in L.A. D'Amario, L.L. Sackett, D.J. Scheeres and B.G. Williams (editors), Proceedings of the the AAS/AIAA 11th Spaceflight Mechanics Meeting, Vol. 108, Parts 1 and 2, pp. 1963--1975, 2001.

  1363. R. Tavakkoli-Moghaddam and A.R. Rahimi-Vahed. A Memetic Algorithm for Multi-Criteria Sequencing Problem for a Mixed-Model Assembly Line in a JIT Production System, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 10350--10355, IEEE, Vancouver, BC, Canada, July 2006 .

  1364. J. Teghem. Multiobjective Combinatorial Optimization, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.

  1365. J. Teo and H.A. Abbass. Multi-objectivity for brain-behavior evolution of a physically-embodied organism, in R. Standish, M. Bedau and H.A. Abbass, editors, Artificial Life VIII: The 8th International Conference on Artificial Life, pp. 312--318, Cambridge, MA, MIT Press, 2002.

  1366. J. Teo and H.A. Abbass. Trading-off mind complexity and locomotion in a physically simulated quadruped, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 776--780, Vol. 2, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  1367. J. Teo and H.A. Abbass. Coordination and synchronization of locomotion in a virtual robot, in L. Wang, J. Rajapakse, K. Fukushima, S. Lee and X. Yao, editors, Proceedings of the 9th International Conference on Neural Information Processing (ICONIP'02), Volume 4, pp. 1931--1935, 2002.

  1368. Jason Teo, Minh Ha Nguyen and Hussein A. Abbass. Multi-objectivity as a Tool for Constructing Hierarchical Complexity, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 483--494, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003 .

  1369. Jason Teo and Hussein A. Abbass. Is a Self-Adaptive Pareto Approach Beneficial for Controlling Embodied Virtual Robots, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 1612--1613, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003 .

  1370. Jason Teo and Hussein A. Abbass. Elucidating the Benefits of A Self-Adaptive Pareto EMO Approach for Evolving Legged Locomotion in Artificial Creatures, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 755--762, IEEE Press, Canberra, Australia, December 2003 .

  1371. J. Teoh, Swee C. Chiam, Chi K. Goh and Kay C. Tan.Adapting Evolutionary Dynamics of Variation for Multiobjective Optomization, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1290--1297, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1372. Dirk Thierens and Peter A.N. Bosman. Multi-Objective Optimization with Iterated Density Estimation Evolutionary Algorithms using Mixture Models. In Proceedings of the Third International Symposium on Adaptive Systems--Evolutionary Computation and Probabilistic Graphical Models, Institute of Cybernetics, Mathematics and Physics, pages 129-136, Havana, Cuba, March 19-23 2001.

  1373. Dirk Thierens and Peter A.N. Bosman.Multi-Objective Mixture-based Iterated Density Estimation Evolutionary Algorithms, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 663--670, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

  1374. Dirk Thierens. Convergence Time Analysis for the Multi-objective Counting Ones Problem, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 355--364, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1375. H. A. Thompson, P. J. Fleming, and A. J. Chipperfield. Multi-Objective Optimisation of Systems Architectures for Distributed Aero-Engine Control Systems. In The 43rd ASME Gas Turbine and Aeroengine Technical Congress, volume 98-GT-045, Stockolm, Sweden, June 1998. ASME Press.

  1376. Robert Thomson and Tughrul Arslan. An Evolutionary Algorithm for the Multi-Objective Optimisation of VLSI Primitive Operator Filters, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 37--42, IEEE Service Center, Piscataway, New Jersey, May 2002

  1377. Robert Thomson and Tughrul Arslan. The Evolutionary Design and Synthesis of Non-Linear Digital VLSI Systems, in Jason Lohn, Ricardo Zebulum, James Steincamp, Didier Keymeulen, Adrian Stoica and Michael I. Ferguson (editors), Proceedings of the 2003 NASA/DoD Conference on Evolvable Hardware, pp. 125--134, IEEE Computer Society Press, Los Alamitos, California, July 2003 .

  1378. Robert Thomson and Tughrul Arslan. On the Impact of Modelling, Robustness, and Diversity to the Performance of a Multi-Objective Evolutionary Algorithm for Digital VLSI System Design, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 1, pp. 382--389, IEEE Press, Canberra, Australia, December 2003 .

  1379. F. L. Tito, G. N. Taranto, and D. M. Falcão. Integrated Tuning of Generator Excitation Systems by a Multiobjective Genetic Algorithm. In Proceedings of the International Conference on Intelligent System Application to Power Systems (ISAP), Rio de Janeiro, Brazil, April 1999.

  1380. M.K. Tiwari, S.K. Tiwari, D. Roy, N.K. Vidyarthi and S. Kamushwaran. A Genetic Algorithm Based Approach to Solve Process Plan Selection Problems, in Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials, Vol. 1, pp. 281--284, 1999.

  1381. Ahsutosh Tiwari, Rajkumar Roy, Graham Jared and Olivier Munaux. Challenges in Real-Life Engineering Design Optimization: An Analysis, 2001 Genetic and Evolutionary Computation Conference. Workshop Program, San Francisco, California, pp. 289--294, July 2001 .

  1382. Ahsutosh Tiwari, Rajkumar Roy, Graham Jared and Olivier Munaux. Interaction and Multi-objective Optimisation, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 671--678, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

  1383. Ahsutosh Tiwari and Rajkumar Roy. Variable Response Interaction and Multi-objective Optimisation, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 602--609, Morgan Kaufmann Publishers, San Francisco, California, July 2002.

  1384. Ahsutosh Tiwari and Rajkumar Roy. Application of Generalised Regression GA for Designing a Turbine Blade Cooling System, in Alwyn Barry (editor), 2002 Genetic and Evolutionary Computation Conference. Workshop Program, pp. 108--113, New York, July 2002.

  1385. Ashutosh Tiwari, Kostas Vergidis and Basim Majeed. Evolutionary Multi-objective Optimization of Business Processes, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 10448--10454, IEEE, Vancouver, BC, Canada, July 2006 .

  1386. David S. Todd and Pratyush Sen. A Multiple Criteria Genetic Algorithm for Containership Loading, In Thomas Bäck, editor, Proceedings of the Seventh International Conference on Genetic Algorithms, pages 674-681, San Mateo, California, July 1997. Michigan State University, Morgan Kaufmann Publishers.

  1387. David S. Todd and Pratyush Sen. Multiple Criteria Scheduling using Genetic Algorithms in a Shipyard Environment, In Proceedings of the 9th International Conference on Computer Applications in Shipbuilding, Yokohama, Japan, October 1997.

  1388. David S. Todd and Pratyush Sen. Tackling Complex Job Shop Problems Using Operation Based Scheduling, In Ian Parmee, editor, The Integration of Evolutionary and Adaptive Computing Technologies with Product/System Design and Realisation, pages 45-58, Plymouth, United Kingdom, April 1998. Plymouth Engineering Design Centre, Springer-Verlag.

  1389. David S. Todd and Pratyush Sen. Distributed Task Scheduling and Allocation Using Genetic Algorithms, In 24th International Conference on Computers and Industrial Engineering, Brunel University, UK, September 1998.

  1390. David S. Todd, J. Scott, and Pratyush Sen. A Genetic Algorithm Based Approach to Systems Scheduling, In IFAC Symposium on Large Scale Systems, Patras, Greece, July 1998.

  1391. David S. Todd, J. Scott, and Pratyush Sen. Genetic Algorithms Applied to Ship Design and Manufacturing Processes. In PRADS 98, The Hague, September 1998.

  1392. David S. Todd and Pratyush Sen. Directed Multiple Objective Search of Design Spaces Using Genetic Algorithms and Neural Networks, In W. Banzhaf, J. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela, and R. E. Smith, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'99), volume 2, pages 1738-1743, San Francisco, California, July 1999. Morgan Kaufmann.

  1393. Andrea Toffolo and Ernesto Benini. A New Pareto-like Evaluation Method for Finding Multiple Global Optima in Evolutionary Algorithms. In Late Breaking Papers at the 2000 Genetic and Evolutionary Computation Conference, pages 405-410, Las Vegas, Nevada, July 2000.

  1394. Siu Tong and David J. Powell. Genetic Algorithms: A Fundamental Component of an Optimization Toolkit for Improved Engineering Designs, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 2347--2359, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003 .

  1395. Francisco de Toro, Julio Ortega, Javier Fernández and A. Díaz. PSFGA: A Parallel Genetic Algorithm for Multiobjective Optimization, in F. Vajda and N. Podhorszki (Editors), 10th Euromicro Workshop on Parallel, Distributed and Network-Based Processing, pp. 384--391, IEEE, 2002 .

  1396. Francisco de Toro, Eduardo Ros, Sonia Mota and Julio Ortega. Multi-Objective Optimization Evolutionary Algorithms Applied to Paroxysmal Atrial Fibrillation Diagnosis Based on the k-Nearest Neighbours Classifier, in F.J. Garijo, J.C.R. Santos and M. Toro (eds.), Advances in Artificial Intelligence--IBERAMIA 2002 Proceedings, pp. 313--318, Springer. Lecture Notes in Artificial Intelligence Vol. 2527, 2002.

  1397. Francisco de Toro, Eduardo Ros, Sonia Mota and Julio Ortega. Non-invasive Atrial Disease Diagnosis Using Decision Rules: A Multi-objective Optimization Approach, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 638--647, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1398. F. de Toro, J. Ortega and B. Paechter. Parallel Single Front Genetic Algorithm: Performance Analysis in a cluster system, in Proceedings of the International Parallel and Distributed Processing Symposium (IPDPS'03), IEEE Computer Society, April 2003.

  1399. R. de Toro, R. Jimenez, M. Sanchez and J. Ortega. Synthesis of hybrid CBL/CMOS cell using multiobjective evolutionary algorithms, in Integrated Circuit and System Design, Springer-Verlag. Lecture Notes in Computer Science Vol. 3728, pp. 629--637, 2005.

  1400. Gregorio Toscano Pulido and Carlos A. Coello Coello. The Micro Genetic Algorithm 2: Towards Online Adaptation in Evolutionary Multiobjective Optimization, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 252--266, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1401. Gregorio Toscano-Pulido and Carlos A. Coello Coello. Using Clustering Techniques to Improve the Performance of a Multi-Objective Particle Swarm Optimizer, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 225--237, Seattle, Washington, USA, June 2004 .

  1402. Gregorio Toscano-Pulido, Carlos A. Coello Coello and Luis Vicente Santana-Quintero. EMOPSO: A Multi-Objective Particle Swarm Optimizer with Emphasis on Efficiency, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 272--285, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  1403. A. Trebi-Ollennu and B. A. White. Multiobjective Fuzzy Genetic Algorithm Optimisation Approach to Nonlinear Control System Design, In UKACC International Conference on Control, pages 460--466, Vol. 1, September 1996.

  1404. Martin Trefzer, Jörg Langeheine, Karlheinz Meier and Johannes Schemmel. Operational Amplifiers: An Example for Multi-objective Optimization on an Analog Evolvable Hardware Platform, in J. Manuel Moreno, Jordi Madrenas and Jordi Cosp (editors), Evolvable Systems: From Biology to Hardware, 6th International Conference, ICES 2005, pp. 86--97, Springer, Lecture Notes in Computer Science Vol. 3637, Sitges, Spain, September 2005 .

  1405. Effie Tsoi, Kit Po Wong, and Chun Che Fung. Hybrid GA/SA Algorithms for Evaluating Trade-off Between Economic Cost and Environmental Impact in Generation Dispatch. In David B. Fogel, editor, Proceedings of teh Second IEEE Conference on Evolutionary Computation (ICEC'95), pages 132-137, Piscataway, New Jersey, 1995. IEEE Press.

  1406. Ching-Shih Tsou, Hsiao-Hua Fang, Hsu-Hwa Chang and Chia-Hung Kao. An Improved Particle Swarm Pareto Optimizer with Local Search and Clustering, in Tzai-Der Wang, Xiaodong Li, Shu-Heng Chen, Xufa Wang, Hussein A. Abbass, Hitoshi Iba, Guoliang Chen and Xin Yao (Editors), Simulated Evolution and Learning, 6th International Conference, SEAL 2006, Proceedings, pp. 400--407, Springer, Lecture Notes in Computer Science Vol. 4247, Hefei, China, October, 2006.

  1407. Ching-Shih Tsou and Chia-Hung Kaoin. An Electromagnetism-Like Meta-Heuristic for Multi-Objective Optimization, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3988--3994, IEEE, Vancouver, BC, Canada, July 2006 .

  1408. Bekir S. Türkmen and Osman Turan. An Application Study of Multi-Agent Systems in Multi-Criteria Ship Design Optimisation, in Proceedings of the Third International EuroConference on Computer and IT Applications in the Maritime Industries (COMPIT'04), pp. 340--354, Siguenza, Madrid, 2004 .

  1409. Tapio Tyni and Jari Ylinen. Evolutionary Bi-objective Controlled Elevator Group Regulates Passenger Service Level and Minimises Energy Consumption, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 822--831, Birmingham, UK, September 2004 .

  1410. Gwo.Hshiung Tzeng and Jen-Swei Kuo. Fuzzy Multiobjective Double Samplig Plans with Genetic Algorithms Based on Bayesian Model. In Weiling Chiang and Jonathan Lee, editors, Proceedings of the International Joint Conference of CFSA/IFIS/SOFT95 on Fuzzy Theory and Applications, pages 59-64, Singapore, 1995. World Scientific.

    1411. U

  1411. E.L. Ulungu, J. Teghem, and Ph. Fortemps. Heuristics for multi-objective combinatorial optimization by simulated annealing. In J. Gu, G. Chen, Q. Wei, and S. Wang, editors, Multiple Criteria Decision Making: Theory and Applications. Proceedings of the 6th National Conference on Multiple Criteria Decision Making, pages 228-238, Windsor, UK, 1995. Sci-Tech.

    1412. V

  1412. James Vaccaro and Clark Guest. Evolutionary Bayesian Network Dynamic Planner for Game RISK, in Günther R. Raidl et al. (editors), Applications of Evolutionary Computing. Proceedings of Evoworkshops 2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC, Springer. Lecture Notes in Computer Science, Volume 3005, pp. 549--560, Coimbra, Portugal, April 2004 .

  1413. Jean-Philippe Vacher, Thierry Galinho, and Zoubir Mammeri. Une application des algorithmes génétiques à l'ordonnancement d'atelier. In Ed. Hermes, editor, Proceeding de la conférence MOSIM'97, pages 43-50, Mont-Saint-Aignan, Juin 1997. (in French).

  1414. Jean-Philippe Vacher, Alain Cardon, and Thierry Galinho. Genetic Algorithms on Multi-Agents Systems. In Proceedings of EUROGEN'97, Trieste, Italie, December 1997.

  1415. Jean-Philippe Vacher and Thierry Galinho. A Multi-Agent System Using Multi-Objective Genetic Algorithm: A Solution with Macrophagic Agents. In Proceedings of the International Conference on Information Systems, Analysis and Synthesis, ISAS'98, World Multiconference on Systems, Cybernetics and Informatics (SCI'98), pages 326-332, Orlando, Florida, July 1998.

  1416. Jean-Philippe Vacher, Alain Cardon, and Thierry Galinho. Heuristics Granularity in a Multi-Agents Systems (MAS): Application to the Production Management. In Proceedings of ????, page 8, Guildford, UK, March 1998.

  1417. Jean-Philippe Vacher, Alain Cardon, Franck Lesage, and Thierry Galinho. Genetic Algorithms in a Multi-Agent System, In Proceedings IEEE International Joint Symposia on Intelligence and Systems, pages 17-26, Rockville, MD, USA, May 1998.

  1418. Jean-Philippe Vacher, Alain Cardon, and Thierry Galinho. Information System for Management : Random generators for Job-Shop Scheduling Problems. In The Seventh International Conference Information Systems Development ISD'98, Bled, Slovenia, September 1998.

  1419. Jean-Philippe Vacher, Alain Cardon, and Thierry Galinho. Algorithmes Génétiques Multi-Objectif en Ordonnancement de Production de type Job-Shop. In FRANCORO II, page 58, Sousse, Tunisie, Avril 1998. (In French).

  1420. Jean-Philippe Vacher, Alain Cardon, and Thierry Galinho. Genetic Algorithm using Multi-Objective in a Multi-Agent System. In The Second International Symposium On Intelligent Manaufacturing Systems IMS'98, pages 273-282, Sakarya, Turquie, August 1998.

  1421. Jean-Philippe Vacher, Alain Cardon, and Thierry Galinho. Macrophagic Agents in Multi-agent Systems to Resolve Job-Shop Scheduling Problem. In The Hawaii International Conference on System Sciences HICSS-32, Maui, Hawaii, January 1999.

  1422. Jean-Philippe Vacher, Alain Cardon, and Thierry Galinho. Information Systems for Management in Job-Shop Scheduling Problems using a Multi-Objective Genetic Algorithm. In NIMES'98, Complex Systems, Intelligent Systems & Interfaces, pages 97-100, May 1998.

  1423. Prahlad Vadakkepat, Kay Chen Tan and Wang Ming-Liang. Evolutionary Artificial Potential Fields and Their Application in Real-Time Robot Path Planning, in Proceedings of the 2000 Congress on Evolutionary Computation, Vol. 1, pp. 256--263, IEEE, 2000.

  1424. Sergio Ivvan Valdez Peña, Salvador Botello Rionda and Arturo Hernández Aguirre. Multiobjective Shape Optimization Using Estimation Distribution Algorithms and Correlated Information, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 664--676, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.

  1425. Sergio Ivvan Valdez Peña, Salvador Botello Rionda and Arturo Hernández Aguirre. Multiobjective Shape Optimization with Constraints based on Estimation Distribution Algorithms and Correlated Information, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 749--750, Vol. 1, ACM Press, New York, USA, June 2005>.

  1426. Julio J. Valdés and Alan J. Barton. Multi-objective Evolutionary Optimization for Visual Data Mining with Virtual Reality Spaces: Application to Alzheimer Gene Expressions, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 723--730, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  1427. Julio J. Valdés and Alan J. Barton. Virtual Reality Spaces for Visual Data Mining with Multiobjective Evolutionary Optimization: Implicit and Explicit Function Representations Mixing Unsupervised and Supervised Properties, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 5591--5598, IEEE, Vancouver, BC, Canada, July 2006 .

  1428. Manuel Valenzuela-Rendón and Eduardo Uresti-Charre. A Non-Generational Genetic Algorithm for Multiobjective Optimization, In Thomas Bäck, editor, Proceedings of the Seventh International Conference on Genetic Algorithms, pages 658-665, San Mateo, California, July 1997. Michigan State University, Morgan Kaufmann Publishers.

  1429. Christine L. Valenzuela. A Simple Evolutionary Algorithm for Multi-Objective Optimization (SEAMO), in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 717--722, IEEE Service Center, Piscataway, New Jersey, May 2002

  1430. Ganesh Vedarajan, Louis; Chi Chan, and David E. Goldberg. Investment Portfolio Optimization using Genetic Algorithms, in John R. Koza (editor) Late Breaking Papers at the Genetic Programming 1997 Conference, pages 255-263, Stanford University, California, July 1997. Stanford Bookstore.

  1431. David A. Van Veldhuizen and Gary B. Lamont. Evolutionary Computation and Convergence to a Pareto Front, In John R. Koza, editor, Late Breaking Papers at the Genetic Programming 1998 Conference, pages 221-228, Stanford University, California, July 1998. Stanford University Bookstore.

  1432. David A. Van Veldhuizen, Brian S. Sandlin, , Robert M. Marmelstein, and Gary B. Lamont. Finding Improved Wire-Antenna Geometries with Genetic Algorithms, In David B. Fogel, editor, Proceedings of the 1998 International Conference on Evolutionary Computation, pages 102-107, Piscataway, New Jersey, 1998. IEEE.

  1433. David A. Van Veldhuizen and Gary B. Lamont. Multiobjective Evolutionary Algorithm Test Suites, In Janice Carroll, Hisham Haddad, Dave Oppenheim, Barrett Bryant, and Gary B. Lamont, editors, Proceedings of the 1999 ACM Symposium on Applied Computing, pages 351-357, San Antonio, Texas, 1999. ACM.

  1434. David A. Van Veldhuizen and Gary B. Lamont. MOEA Test Suite Generation, Design & Use, In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pages 113-114, Orlando, Florida, July 1999.

  1435. David A. Van Veldhuizen and Gary B. Lamont. Genetic Algorithms, Building Blocks, and Multiobjective Optimization, In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pages 125-126, Orlando, Florida, July 1999.

  1436. David A. Van Veldhuizen and Gary B. Lamont. Multiobjective Optimization with Messy Genetic Algorithms. In Proceedings of the 2000 ACM Symposium on Applied Computing, pages 470-476, Villa Olmo, Como, Italy, 2000. ACM.

  1437. David A. Van Veldhuizen and Gary B. Lamont. On Measuring Multiobjective Evolutionary Algorithm Performance, In 2000 Congress on Evolutionary Computation, volume 1, pages 204-211, Piscataway, New Jersey, July 2000. IEEE Service Center.

  1438. David A. Van Veldhuizen, Jesse B. Zydallis and Gary B. Lamont. Issues in Parallelizing Multiobjective Evolutionary Algorithms for Real World Applications, in Proceedings of the 17th ACM Symposium on Applied Computing, pp. 595--602, ACM Press, Madrid, Spain, 2002 .

  1439. V. Rao Vemuri and Walter Cedeño. A New Genetic Algorithm for Multi Objective Optimization in Water Resource Management. In Proceedings of the Second IEEE International Conference on Evolutionary Computation, pages 495-500, Piscataway, New Jersey, 1995. IEEE Press.

  1440. V. Rao Vemuri and Walter Cedeño. A New Genetic Algorithm for Multi-Objective Optimization in Water Resource Management. In 1996 Knowledge-based Computer Systems, Bombay, India, December 1996. KBIS Proceedings.

  1441. Neelakantam V. Venkatarayalu and Tapabrata Ray. Single and Multi-objective design of Yagi-Uda Antennas using Computational Intelligence, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 1237--1242, IEEE Press, Canberra, Australia, December 2003 .

  1442. Rodrigo Verschae, Javier Ruiz del Solar, Mario Köppen and Raul Vicente Garcia. Improvement of a Face Detection System by Evolutionary Multi-Objective Optimization, in Nadia Nedjah, Luiza M. Mourelle, Marley M.B.R. Vellasco, Ajith Abraham and Mario Köppen (editors), Fifth International Conference on Hybrid Intelligent Systems (HIS'05), pp. 361--366, IEEE Computer Society, Los Alamitos, California, USA, November 2005.

  1443. Dalessandro Soares Vianna and José Elias Claudio Arroyo. A GRASP algorithm for the multi-objective knapsack problem, in XXIV International Conference of the Chilean Computer Science Society (SCCC'04), pp. 69--75, IEEE Computer Society, Arica, Chile, November 2004.

  1444. Alessandro Vicini and Domenico Quagliarella. Multipoint transonic airfoil design by means of a multiobjective genetic algorithm. In 35th AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, January 1997. American Institute of Aeronautics and Astronautics (AIAA). AIAA Paper 97-0082.

  1445. Alessandro Vicini and Domenico Quagliarella. Airfoil and Wing Design Through Hybrid Optimization Strategies, In 16th Applied Aerodynamics Conference, Albuquerque, New Mexico, June 1998. American Institute of Aeronautics and Astronautics (AIAA). AIAA Paper 98-2729.

  1446. Rémy Viennet, Christian Fontiex, and Ivan Marc. New Multicriteria Optimization Method Based on the Use of a Diploid Genetic Algorithm: Example of an Industrial Problem. In J. M. Alliot, E. Lutton, E. Ronald, M. Schoenauer, and D. Snyers, editors, Proceedings of Artificial Evolution (European Conference, selected papers), pages 120-127, Brest, France, September 1995. Springer-Verlag.

  1447. Mario Villalobos-Arias, Carlos A. Coello Coello and Onésimo Hernández-Lerma. Convergence Analysis of a Multiobjective Artificial Immune System Algorithm, in Giuseppe Nicosia, Vincenzo Cutello, Peter J. Bentley and Jon Timmis (editors), Artificial Immune Systems. Proceedings of the Third International Conference (ICARIS'2004), pp. 226--235, Springer-Verlag, Lecture Notes in Computer Science Vol. 3239, Catania, Sicily, Italy, September 2004 .

  1448. Mario Villalobos-Arias, Carlos A. Coello Coello and Onésimo Hernández-Lerma. Asymptotic Convergence of some Metaheuristics used for Multiobjetive Optimization, in A.H. Wright et al. (editors), Foundations of Genetic Algorithms (FOGA 2005), pp. 95--111, Springer-Verlag, Lecture Notes in Computer Science Vol. 3469, Aizu, Japan, 2005 .

  1449. Mario Alberto Villalobos-Arias, Gregorio Toscano Pulido and Carlos A. Coello Coello. A Proposal to Use Stripes to Maintain Diversity in a Multi-Objective Particle Swarm Optimizer, in 2005 IEEE Swarm Intelligence Symposium (SIS'05), pp. 22--29, IEEE Press, Pasadena, California, June 2005 .

  1450. Israel Vite-Silva, Nareli Cruz-Cortés, Gregorio Toscano-Pulido and Luis G. de la Fraga. Optimal Triangulation in 3D Computer Vision Using a Multi-objective Evolutionary Algorithm, in Mario Giacobini et al. (Editors), Applications of Evolutionary Computing. EvoWorkshops 2007: EvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG, pp. 330--339, Springer. Lecture Notes in Computer Science Vol. 4448, Valencia, Spain, April 2007 .

  1451. S. Voget. Multiobjective optimization with genetic algorithm and fuzzy control. In Proceedings of the Fourth European Conference on Intelligent Techniques and Soft Computing (EUFIT'96), pages 391-394, Aachen, Germany, 1996.

    1452. W

  1452. Gholamreza Vossoughi and Siavash Rezazadeh. Optimization of the calibration for an internal combustion engine management system using multi-objective genetic algorithms, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1254--1261, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1453. Ivan Voutchkov and A.J. Keane. Multiobjective Optimization using Surrogates, in I.C. Parmee (editor), Adaptive Computing in Design and Manufacture. Proceedings of the Seventh International Conference, pp. 167--175, The Institute for People-centered Computation (IP-CC), Bristol, UK, April 2006 .

  1454. Tobias Wagner, Nicola Beume and Boris Naujoks. Pareto-, Aggregation-, and Indicator-Based Methods in Many-Objective Optimization, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 742--756, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  1455. Jiang Feng Wang and Jacques Periaux. Multi-Point Optimization using GAs and Nash/Stackelberg Games for High Lift Multi-airfoil Design in Aerodynamics, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, IEEE Service Center, Piscataway, New Jersey, pp. 552--559, May 2001 .

  1456. Zhi-Gang Wang and M. Rahman and Yoke-San Wong. Multi-Niche Crowding in the Development of Parallel Genetic Simulated Annealing, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 1555--1556, Vol. 2, ACM Press, New York, USA, June 2005 .

  1457. Yuping Wang, Dalian Liu and Yiu-Ming Cheung. Preference Bi-objective Evolutionary Algorithm for Constrained Optimization, in Yue Hao et al. (editors), Computational Intelligence and Security. International Conference, CIS 2005, pp. 184--191, Springer, Lecture Notes in Artificial Intelligence Vol. 3801, Xi'an, China, December 2005.

  1458. Yong Wang and Zixing Cai. A Constrained Optimization Evolutionary Algorithm Based on Multiobjective Optimization Techniques, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1081--1087, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1459. Lingfeng Wang and Chanan Singh. Multi-Objective Stochastic Power Dispatch Through A Modified Particle Swarm Optimization Algorithm, in 2006 Swarm Intelligence Symposium (SIS'06), pp. 128--135, IEEE Press, Indianapolis, Indiana, USA, May 2006 .

  1460. X.L. Wang and M. Mahfouf. ACSAMO: An Adaptive Multiobjective Optimization Algorithm using the Clonal Selection Principle, in 2nd European Symposium on Nature-Inspired Smart Information Systems, Puerto de la Cruz, Tenerife, Spain, November 29--December 1, 2006 .

  1461. Elizabeth F. Wanner, Frederico G. Guimaraes, Ricardo H.C. Takahashi and Peter J. Fleming. A Quadratic Approximation-Based Local Search Procedure for Multiobjective Genetic Algorithms, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3361--3368, IEEE, Vancouver, BC, Canada, July 2006 .

  1462. Shinya Watanabe, Tomoyuki Hiroyasu and Mitsunori Miki.Parallel Evolutionary Multi-Criterion Optimization for Block Layout Problems, in 2000 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA'2000), pp. 667--673, 2000.

  1463. Shinya Watanabe, Tomoyuki Hiroyasu and Mitsunori Miki. Parallel Evolutionary Multi-Criterion Optimization for Mobile Telecommunication Networks Optimization, in K.C. Giannakoglou, D.T. Tsahalis, J. Periaux, K.D. Papailiou and T. Fogarty (eds), Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems. Proceedings of the EUROGEN'2001, pp. 167--172,International Center for Numerical Methods in Engineering(CIMNE), Barcelona, Spain, 2001

  1464. Shinya Watanabe, Tomoyuki Hiroyasu and Mitsunori Miki. LCGA: Local Cultivation Genetic Algorithm for Multi-Objective Optimization Problems, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 702, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  1465. Shinya Watanabe, Tomoyuki Hiroyasu and Mitsunori Miki. NCGA: Neighborhood Cultivation Genetic Algorithm for Multi-Objective Optimization Problems, in Erick Cantú-Paz (editor), 2002 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 458--465, New York, July 2002 .

  1466. Shinya Watanabe, Tomoyuki Hiroyasu and Mitsunori Miki. Neighborhood Cultivation Genetic Algorithm for Multi-Objective Optimization Problems, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 198--202, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  1467. Shinya Watanabe, Tomoyuki Hiroyasu and Mitsunori Miki. Multi-objective Rectangular Packing Problem and Its Applications, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 565--577, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1468. Shinya Watanabe and Kazutoshi Sakakibara. The Effectiveness of Multiobjective Optimizer in Single-objective Optimization Environment, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 829--830, Vol. 1, ACM Press, New York, USA, June 2005 .

  1469. Shinya Watanabe and Kazutoshi Sakakibara. Multi-objective approaches in a single-objective optimization environment, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1714--1721, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1470. Richard A. Watson. Problem Decomposition and Multi-Objective Optimization, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.

  1471. Jingxuan Wei and Yuping Wang, A Novel Multi-objective PSO Algorithm for Constrained Optimization Problems, in T.-D. Wang et al. (editors), Simulated Evolution and Learning (SEAL 2006), pp. 174--180, Springer, Lecture Notes in Computer Science Vol. 4247, 2006.

  1472. D. S. Weile, E. Michielssen, and D. E. Goldberg. Multiobjective synthesis of electromagnetic devices using nondominated sorting genetic algorithms, In 1996 IEEE Antennas and Propagation Society International Symposium Digest, volume 1, pages 592-595, Baltimore, Maryland, July 1996.

  1473. D. S. Weile and E. Michielssen. Multiobjective optimization of electromagnetic devices using Pareto genetic algorithms. In Proceedings of the 1996 Antenna Applications Symposium, pages 1-18, Amherst, Massachusetts, 1996.

  1474. K. Weinert, J. Mehnen and M. Stautner. The Application of Multiobjective Evolutionary Algorithms to the Generation of Optimized Tool Paths for Multi-Axis Die and Mould Making, in R. Teti (editor), Intelligent Computation in Manufacturing Engineering, 4th CIRP International Seminar on Intelligent Computation in Manufacturing Engineering (CIRP ICME'04), pp. 405--412, Sorrento, Naples, Italy, June 30-July 2, 2004.

  1475. J. F. Whidborne, D.-W. Gu, and I. Postlethwaite. Algorithms for the Method of Inequalities -- A Comparative Study. In Procedings of the 1995 American Control Conference, pages 3393-3397, Seattle, Washington, 1995.

  1476. J.F. Whidborne. A Genetic Algorithm Approach to Designing Finite-Precision PID Controller Structures, in Proceedings of the 1999 American Control Conference, Vol. 6, pp. 4338--4342, IEEE, 1999.

  1477. Lyndon While. A New Analysis of the LebMeasure Algorithm for Calculating Hypervolume, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 326--340, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1478. Lyndon While, Lucas Bradstreet, Luigi Barone and Philip Hingston Heuristics for Optimising the Calculation of Hypervolume for Multi-Objective Optimization Problems , in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2225--2232, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1479. Andrew Wildman and Geoff Parks. A Comparative Study of Selective Breeding Strategies in a Multiobjective Genetic Algorithm, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 418--432, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1480. Lars Willmes and Thomas Bäck. Multi-criteria Airfoil Design with Evolution Strategies, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 782--795, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1481. Lars Willmes and Thomas Bäck. Evolution strategies for engineering design optimisation, in K.J. Bathe (editor), Computational Fluid and Solid Mechanics 2003. Proceedings of the Second MIT Conference on Computational Fluid and Solid Mechanics, Vol. 2, pp. 2394--2397, Elsevier, The Netherlands, June 2003 .

  1482. P. B. Wilson and M. D. Macleod. Low implementation cost IIR digital filter design using genetic algorithms. In IEE/IEEE Workshop on Natural Algorithms in Signal Processing, pages 4/1-4/8, Chelmsford, U.K., 1993.

  1483. Kok Sung Won and Tapabrata Ray. Performance of Kriging and Cokriging based Surrogate Models within the Unified Framework for Surrogate Assisted Optimization, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1577--1585, Portland, Oregon, USA, June 2004 .

  1484. Jin-Myung Won, Ki-Moon Lee, Jin S. Lee and Frakhreddine Karray. Guideway Network Design of Personal Rapid Transit System: A Multiobjective Genetic Algorithm Approach, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 7979--7985, IEEE, Vancouver, BC, Canada, July 2006 .

  1485. Tony Wong, Pascal Côté and Robert Sabourin. A Hybrid MOEA for the Capacitated Exam Proximity Problem, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1495--1501, Portland, Oregon, USA, June 2004 .

  1486. Jonathan Wright and Heather Loosemore. The Multi-Criterion Optimization of Building Thermal Design and Control, 7th IBPSA Conference: Building Simulation, Rio de Janeiro, Brazil, pp. 873--880, Vol. 2, ISBN 85-901939-3-4, 2001.

  1487. Jin Wu and Shapour Azarm. On a New Constraint Handling Technique for Multi-Objective Genetic Algorithms, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 741--748, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

    1488. X

  1488. Ningchuan Xiao and Marc P. Armstrong. A Specialized Island Model and Its Application in Multiobjective Optimization, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 1530--1540, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003 .

  1489. Zhang Xiao-hua, Meng Hong-yun and Jiao Li-cheng. Intelligent Particle Swarm Optimization in Multiobjective Optimization, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 714--719, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1490. Shengwu Xiong and Feng Li. Parallel Strength Pareto Multi-objective Evolutionary Algorithm for Optimization Problems, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2712--2718, IEEE Press, Canberra, Australia, December 2003 .

  1491. Shengwu Xiong and Feng Li. Parallel Strength Pareto Multi-objective Evolutionary Algorithm, in Proceedings of the Fourth International Conference on Applications and Technologies (PDCAT'2003), IEEE, pp. 681--683, August 2003.

  1492. Jian-Xin Xu, Sanjib Kumar Panda and Qing Zheng. Multiobjective Optimization of Current Waveforms for Switched Reluctance Motors by Genetic Algorithm, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1860--1865, IEEE Service Center, Piscataway, New Jersey, May 2002

  1493. Kai Xu, Sushil J. Louis and Roberto C. Mancini. A Scalable Parallel Genetic Algorithm for X-ray Spectroscopic Analysis, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 811--816, Vol. 1, ACM Press, New York, USA, June 2005 .

  1494. Feng Xue, Arthur C. Sanderson and Robert J. Graves. Pareto-based Multi-Objective Differential Evolution, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 862--869, IEEE Press, Canberra, Australia, December 2003 .

  1495. Feng Xue, Arthur C. Sanderson and Robert J. Graves. Multi-Objective Differential Evolution and Its Application to Enterprise Planning, in Proceedings of the 2003 IEEE International Conference on Robotics and Automation (ICRA'03), Vol. 3, pp. 3535--3541, IEEE, Taipei, Taiwan, September 2003 .

  1496. Feng Xue, Arthur C. Sanderson and Robert J. Graves. Modeling and convergence analysis of a continuous multi-objective differential evolution algorithm, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 228--235, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1497. Feng Xue, Arthur C. Sanderson and Robert J. Graves. Multi-objective differential evolution - algorithm, convergence analysis, and applications, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 743--750, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

    1498. Y

  1498. Kazuo Yamasaki. Dynamic Pareto Optimum GA against the changing environments, 2001 Genetic and Evolutionary Computation Conference. Workshop Program, San Francisco, California, pp. 47--50, July 2001 .

  1499. Daisuke Yamashiro, Tomohiro Yoshikawa and Takeshi Furuhashi. Visualization of Search Process and Improvement of Search Performance in Multi-Objective Genetic Algorithm, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3967--3972, IEEE, Vancouver, BC, Canada, July 2006 .

  1500. Zhenyu Yan, Linghai Zhang, Lishan Kang and Guangming Lin. A New MOEA for Multi-objective TSP and Its Convergence Property Analysis, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 342--354, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1501. Toshihiko Yanase and Hitoshi Iba. Evolutionary Motion Design for Humanoid Robots, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 1825--1832, Vol. 2, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  1502. Xiaofeng Yang and Mitsuo Gen. Evolution program for bicriteria transportation problem. In M. Gen and T. Kobayashi, editors, Proceedings of the 16th International Conference on Computers and Industrial Engineering, pages 451-454, Ashikaga, Japan, 1994. Pergamon Press.

  1503. Zichen Yang and Bo Meng. A Multi-objective Genetic Algorithms Method for Generating Pareto Solutions in Bilateral Negotiations, Proceedings of the 4th World Congress on Intelligent Control and Automation, Vol. 2, pp. 1985--1989, 2002 .

  1504. Jie Yao, Nawwaf Kharma and Peter Grogono. BMPGA: A Bi-Objective Multi-population Genetic Algorithm for Multi-modal Function Optimization, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 816--823, Vol. 1, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1505. Wangshu Yao, Chen Shifu and Chen Zhaoqian. SDMOGA: A New Multi-objective Genetic Algorithm Based on Objective Space Divided, in Irwin King, Jun Wang, Laiwan Chan and DeLiang L. Wang (editors), Neural Information Processing, 13th International Conference, ICONIP 2006, Part III, pp. 754--762, Springer-Verlag. Lecture Notes in Computer Science Vol. 4234, Hong Kong, China, October 2006.

  1506. Haluk Yapicioglu, Gerry Dozier and Alice E. Smith. Bi-criteria Model for Locating a Semi-desirable Facility on a Plane Using Particle Swarm Optimization, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 2328--2334, Portland, Oregon, USA, June 2004 .

  1507. Haluk Yapicioglu, Gerry Dozier and Alice E. Smith. Neural Network Enhancement of Multiobjective Evolutionary Search, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 6800--6806, IEEE, Vancouver, BC, Canada, July 2006 .

  1508. Yi Jack Yau, Jason Teo and Patricia Anthony. Pareto Evolution and Co-evolution in Cognitive Game AI Synthesis, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 227--241, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  1509. Kai Yen and Lajos Hanzo. Genetic Algorithm Based Antenna Diversity Assisted Multiuser Detection for Synchronous CDMA Systems, in IEEE Vehicular Technology Conference, Spring, IEEE, Vol. 3, pp. 1794--1798, 2001.

  1510. Gary G. Yen and Haiming Lu. Hierarchical Rank Density Genetic Algorithm for Radial-Basis Function Neural Network Design, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 25--30, IEEE Service Center, Piscataway, New Jersey, May 2002.

  1511. Wang Yong and Cai Zixing. A Constrained Optimization Evolutionary Algorithm Based on Multiobjective Optimization Techniques, in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 1081--1087, Vol. 2, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1512. K. Yoshida, M. Yamamura, and S. Kobayashi. Generating Pareto Optimal Decision Trees by GAs. In Proceedings of the 4th International Conference on Soft Computing, pages 854-859, 1996.

  1513. Kazuyuki Yoshimura and Ryohei Nakano. Genetic Algorithms for Information Operator Scheduling. In David B. Fogel, editor, Proceedings of the 1998 International Conference on Evolutionary Computation, pages 277-282, Piscataway, New Jersey, 1998. IEEE.

  1514. Susumu Yoshizawa, Tohru Kawabe and Sadaaki Miyamoto. Robust Control Design Method for Systems with Multi-objective Specifications, in Joint 9th IFSA World Congress and 20th NAFIPS International Conference, IEEE, Vol. 3, pp. 1746--1751, 2001.

  1515. Abdulnasser Younes, Hamada Ghenniwa and Shawki Areibi. An Adaptive Genetic Algorithm for Multi Objective Flexible Manufacturing Systems, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 1241--1248, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  1516. Nicholas Young. Blended Ranking to Cross Infeasible Regions in Constrained Multiobjective Problems, in Proceedings of the 2005 International Conference on Computational Intelligence for Modelling, Control and Automation, and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'05), pp. 191--196, November 2005.

  1517. Habib Youssef, Sadiq M. Sait, and Salman A. Khan. Fuzzy Simulated Evolution Algorithm for Topology Design on Campus Networks, In 2000 Congress on Evolutionary Computation, volume 1, pages 180-187, Piscataway, New Jersey, July 2000. IEEE Service Center.

  1518. Y. Yu, JB. Y. Zhang, and M. C. Schell. Multi-objective Stochastic Reasoning and Genetic Algorithm Optimization: Applications in Radiotherapy Treatment Planning. In D. W. Pearson, editor, Proceedings of the Second International ICSC Symposium on Soft Computing, pages 231-237, Nımes, France, September 1997. ICSC Academic Press.

  1519. Y.B. Yun, H. Nakayama, T. Tanino and M. Arakawa. A Multi-Objective Optimization Method Combining Generalized Data Envelopment Analysis and Genetic Algorithms, in 1999 IEEE International Conference on Systems, Man, and Cybernetics, Vol. 1, pp. 671--676, IEEE, 1999.

  1520. Yeboon Yun, Hirotaka Nakayama and Masao Arakawa. Fitness Evaluation using Generalized Data Envelopment in MOGA, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 464--471, Portland, Oregon, USA, June 2004 .

  1521. Y. Yun, M. Yoon and H. Nakayama. Genetic algorithm for multi-objective optimization using GDEA, in Advances in Natural Computation, Pt 3 Proceedings, Springer, pp. 409--416, Lecture Notes in Computer Science Vol. 3612, 2005.

    1522. Z

  1522. Angel E. Muñoz Zavala, Enrique R. Villa Diharce and Arturo Hernández Aguirre. Particle Evolutionary Swarm for Design Reliability Optimization, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 856--869, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1523. R. S. Zebulum, M. A. Pacheco, and M. Vellasco. A multi-objective optimisation methodology applied to the synthesis of low-power operational amplifiers, In Ivan Jorge Cheuri and Carlos Alberto dos Reis Filho, editors, Proceedings of the XIII International Conference in Microelectronics and Packaging, volume 1, pages 264-271, Curitiba, Brazil, August 1998.

  1524. R. S. Zebulum, M. A. Pacheco, and M. Vellasco. Synthesis of CMOS operational amplifiers through Genetic Algorithms, In Proceedings of the Brazilian Symposium on Integrated Circuits, SBCCI'98, pages 125-128, Rio de Janeiro, Brazil, September 1998. IEEE.

  1525. Ricardo Salem Zebulum, Marco Aurélio Pacheco, and Marley Vellasco. Artificial Evolution of Active Filters: A Case Study, In Proceedings of the First NASA/DoD Workshop on Evolvable Hardware, pages 66-75, Los Alamitos, California, July 1999. IEEE Computer Society.

  1526. Emily M. Zechman and S. Ranji Ranjithan. Are the "Best" Solutions to a Real Optimization Problem Always Found in the Noninferior Set? Evolutionary Algorithm for Generating Alternatives (EAGA), in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 1622--1623, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003 .

  1527. Milan Zeleny. The Evolution of Optimality: De Novo Programming, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 1--13, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1528. SanYou Zeng, LiXin Ding, Yuping Chen and LiShan Kang. A New Multiobjective Evolutionary Algorithm: OMOEA, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 898--905, IEEE Press, Canberra, Australia, December 2003 .

  1529. Sanyou Zeng, Shuzhen Yao, Lishan Kang and Yong Liu. An Efficient Multi-objective Evolutionary Algorithm: OMOEA-II, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 108--119, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005.

  1530. Sang-you Zeng, Guang Chen, Liang Zheng, Hiu Shi, Hugo de Garis and Lixin Ding and Lishan Kang. A Dynamic Multi-Objective Evolutionary Algorithm Based on an Orthogonal Design, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 2588--2595, IEEE, Vancouver, BC, Canada, July 2006 .

  1531. L.B. Zhang, C.G. Zhou, X.H. Liu, Z.Q. Ma and Y.C. Liang. Solving Multi Objective Optimization Problems Using Particle Swarm Optimization. in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2400--2405, IEEE Press, Canberra, Australia, December 2003.

  1532. Jian Zhang, Xiaohui Yuan and Bill P. Buckles. Subspace FDC for Sharing Distance Estimation, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1735--1742, Portland, Oregon, USA, June 2004.

  1533. Yang Zhang and Peter I. Rockett. Evolving Optimal Feature Extraction using Multi-objective Genetic Programming: A Methodology and Preliminary Study on Edge Detection, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 795--802, Vol. 1, ACM Press, New York, USA, June 2005.

  1534. Xiaohua Zhang, Hongyun Meng and Licheng Jiao. Improving PSO-Based Multiobjective Optimization Using Competition and Immunity Clonal, in Yue Hao et al. (editors), Computational Intelligence and Security. International Conference, CIS 2005, pp. 839--845, Springer, Lecture Notes in Artificial Intelligence Vol. 3801, Xi'an, China, December 2005.

  1535. Xiangrong Zhang, Bin Lu, Shuiping Gou and Licheng Jiao. Immune Multiobjective Optimization Algorithm Using Unsupervised Feature Selection, in Franz Rothlauf et al. (editors), Applications of Evolutionary Computing. EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC, pp. 484--494, Springer, Lecture Notes in Computer Science Vol. 3907, Budapest, Hungary, April 2006 .

  1536. Ying Zhang, Raffi Kamalian, Alice M. Agogino and Carlo H. Séquin. Design Synthesis of Microelectromechanical Systems Using Genetic Algorithms with Component-Based Genotype Representation, in Maarten Keijzer et al. (editors), 2006 Genetic and Evolutionary Computation Conference (GECCO'2006), pp. 731--738, Vol. 1, ACM Press, Seattle, Washington, USA, July 2006, ISBN 1-59593-186-4 .

  1537. Min Zhang, Huantong Geng, Wenjian Luo, Linfeng Huang and Xufa Wang. A hybrid of differential evolution and genetic algorithm for constrained multiobjective optimization problems, in Simulated Evolution and Learning, Proceedings, pp. 318--327, Springer, Lecture Notes in Computer Science Vol. 4247, 2006.

  1538. Yong Zhao, Carlos A. Brizuela and Nobuo Sannomiya. Application of the Partial Enumeration Selection Method in Genetic Algorithms to Solving a Multi-Objective Flowshop Problem, in 2001 IEEE International Conference on Systems, Man, and Cybernetics, Vol. 4, pp. 2365--2370, 2001.

  1539. Shuguang Zhao, Licheng Jiao, Jianxun Zhao and Yuping Wang. Evolutionary Design of Analog Circuits with a Uniform-Design Based Multi-Objective Adaptive Genetic Algorithm, in Jason Lohn, David Gwaltney, Gregory Hornby, Ricardo Zebulum, Didier Keymeulen and Adrian Stoica (editors), 2005 NASA/DoD Conference on Evolvable Hardware, pp. 26--29, IEEE Computer Society Press, Los Alamitos, California, July 2005 .

  1540. Shuguang Zhao, Jianxun Zhao and Licheng Jiao. Adaptive Genetic Algorithm Based Approach for Evolutionary Design and Multi-objective Optimization of Logic Circuits, in Jason Lohn, David Gwaltney, Gregory Hornby, Ricardo Zebulum, Didier Keymeulen and Adrian Stoica (editors), 2005 NASA/DoD Conference on Evolvable Hardware, pp. 67--72, IEEE Computer Society Press, Los Alamitos, California, July 2005 .

  1541. F.Q. Zhao, Q.Y. Zhang, D.M. Yu, X.H. Chen and Y.H. Yang. A hybrid algorithm based on PSO and simulated annealing and its applications for partner selection in virtual enterprise, in Advances in Intelligent Computing, Pt 1, Proceedings, Springer, pp. 380--389, Lecture Notes in Computer Science Vol. 3644, 2005.

  1542. Shuguang Zhao, Licheng Jiao and Jun Zhao. Multi-objective Evolutionary Design and Knowledge Discovery of Logic Circuits with an Improved Genetic Algorithm, in Yue Hao et al. (editors), Computational Intelligence and Security.International Conference, CIS 2005, pp. 273--278, Springer, Lecture Notes in Artificial Intelligence Vol. 3801, Xi'an, China, December 2005.

  1543. Jinhua Zheng, Zhongzhi Shi, Charles X. Ling and Yong Xie. Some Discussions about MOGAs: Individual Relations, Non-dominated Set, and Application on Automatic Negotiation, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 706--712, Portland, Oregon, USA, June 2004 .

  1544. Yan Zenyhu, Kang Lishan, Bob McKay and Fu Penghui. SEEA For Multiobjective Optimization: Reinforcing Elitist MOEA Through Multi-Parent Crossover, Steady Elimination and Swarm Hill Climbing, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 21--25, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  1545. Gengui Zhou and Mitsuo Gen. Evolutionary Computation on Multicriteria Production Process Planning Problem, In Proceedings of the 1997 IEEE International Conference on Evolutionary Computation, pages 419-424, Piscataway, New Jersey, April 1997. IEEE Press.

  1546. Y.R. Zhou and J. He. The convergence of a multi-objective evolutionary algorithm based on grids, Advances in Natural Computation, Pt 2, Proceedings, Springer, pp. 1015--1024, Lecture Notes in Computer Science Vol. 3611, 2005 .

  1547. Aimin Zhou, Qingfu Zhang, Yaochu Jin, Edward Tsang and Tatsuya Okabe A Model-Based Evolutionary Algorithm for Bi-objective Optimization , in 2005 IEEE Congress on Evolutionary Computation (CEC'2005), pp. 2568--2575, Vol. 3, IEEE Service Center, Edinburgh, Scotland, September 2005.

  1548. Aimin Zhou, Yaochu Jin, Qingfu Zhang, Bernhard Sendhoff and Edward Tsang. Combining Model-based and Genetic-based Offspring Generation for Multi-objective Optimization Using a Convergence Criterion, in 2006 IEEE Congress on Evolutionary Computation (CEC'2006), pp. 3234--3241, IEEE, Vancouver, BC, Canada, July 2006 .

  1549. Bo Zhu, Ho Seong Lee, Lin Guo and Masayoshi Tomizuka. Robust Tuning of Fixed-Structure Controller for Disk Drives using Statistical Model and Multi-Objective Genetic Algorithms, in Proceedings of the 2001 American Control Conference, IEEE, Vol. 4, pp. 2773--2778, 2001 .

  1550. Zhong-Yao Zhu and Kwong-Sak Leung. An Enhanced Annealing Genetic Algorithm for Multi-Objective Optimization Problems, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 658--665, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  1551. Zhong-Yao Zhu and Kwong-Sak Leung. Asynchronous Self-Adjustable Island Genetic Algorithm for Multi-Objective Optimization Problems, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 837--842, IEEE Service Center, Piscataway, New Jersey, May 2002

  1552. Eckart Zitzler and Lothar Thiele. Multiobjective Optimization Using Evolutionary Algorithms--A Comparative Study, In A. E. Eiben, editor, Parallel Problem Solving from Nature V, pages 292-301, Amsterdam, September 1998. Springer-Verlag.

  1553. Jürgen Teich, Eckart Zitzler, and Shuvra S. Bhattacharyya. 3D Exploration of Software schedules for DSP Algorithms, In 7th International Workshop on Hardware/Software Codesign (CODES'99), pp. 168--172, May 1999.

  1554. Eckart Zitzler, Jürgen Teich, and Shuvra S. Bhattacharyya. Evolutionary Algorithm Based Exploration of Software Schedules for Digital Signal Processors, In W. Banzhaf, J. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela, and R. E. Smith, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'99), volume 2, pages 1762-1769, San Francisco, California, July 1999. Morgan Kaufmann.

  1555. Eckart Zitzler, Kalyanmoy Deb, and Lothar Thiele. Comparison of Multiobjective Evolutionary Algorithms on Test Functions of Different Difficulty, In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pages 121-122, Orlando, Florida, July 1999.

  1556. Eckart Zitzler, Marco Laumanns and Lothar Thiele. SPEA2: Improving the Strength Pareto Evolutionary Algorithm, in K. Giannakoglou, D. Tsahalis, J. Periaux, P. Papailou and T. Fogarty (eds.) EUROGEN 2001, Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems, pp. 95--100, Athens, Greece, 2002.

  1557. Eckart Zitzler, Marco Laumanns, Lothar Thiele, Carlos M. Fonseca and Viviane Grunert da Fonseca. Why Quality Assessment of Multiobjective Optimizers Is Difficult, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 666--673, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  1558. Eckart Zitzler, Marco Laumanns and Stefan Bleuler. A Tutorial on Evolutionary Multiobjective Optimization, in Xavier Gandibleux, Marc Sevaux, Kenneth Sörensen and Vincent T'kindt (editors), Metaheuristics for Multiobjective Optimisation, pp. 3--37, Springer. Lecture Notes in Economics and Mathematical Systems Vol. 535, Berlin, 2004.

  1559. Eckart Zitzler and Simon Künzli. Indicator-based Selection in Multiobjective Search, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 832--842, Birmingham, UK, September 2004.

  1560. Eckart Zitzler, Dimo Brockhoff and Lothar Thiele. The Hypervolume Indicator Revisited: On the Design of Pareto-compliant Indicator Via Weighted Integration, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 862--876, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  1561. Xiufen Zou, Minzhong Liu, Lishan Kang and Jun He. A high performance multi-objective evolutionary algorithm based on the principles of thermodynamics, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 922--931, Birmingham, UK, September 2004.

  1562. Zhenyu Zou, Quanyuan Jiang, Pengxiang Zhang and Yijia Cao. Application of Multi-objective Evolutionary Algorithm in Coordinated Design of PSS and SVC Controllers, in Yue Hao et al. (editors), Computational Intelligence and Security. International Conference, CIS 2005, pp. 1106--1111, Springer, Lecture Notes in Artificial Intelligence Vol. 3801, Xi'an, China, December 2005.

  1563. Igor S. Zwir and Enrique H. Ruspini. Qualitative Object Description: Initial Reports of the Exploration of the Frontier,In Procedings of the Joint EUROFUSE--SIC'99 International Conference, Budapest, Hungary, 1999.

  1564. Jesse B. Zydallis, Gary B. Lamont, and David A. Van Veldhuizen. Messy Genetic Algorithm Based Multi-Objective Optimization: A Comparative Statistical Analysis, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.

  1565. Jesse B. Zydallis and Gary B. Lamont. Solving od discrete multiobjective problems using an evolutionary algorithm with a repair mechanism, Proceedings of the IEEE 2001 Midwest Symposium on Circuits and Systems, Vol. 1, pp. 470--473, IEEE, 2001.

  1566. Jesse B. Zydallis, Todd A. Sriver and Gary B. Lamont. Multiobjective Evolutionary Algorithm Approach for Solving Integer Based Optimization Problems, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 1276, Morgan Kaufmann Publishers, San Francisco, California, July 2002.

  1567. Jesse B. Zydallis and Gary B. Lamont. Explicit Building-Block Multiobjective Evolutionary Algorithms for NPC Problems, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2685--2695, IEEE Press, Canberra, Australia, December 2003.