List of References on Evolutionary Multiobjective Optimization

List of References on Evolutionary Multiobjective Optimization

Maintained by

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

Last Update: May 2nd, 2008

(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

This list as a BibTeX, Gzipped PDF, Gzipped Postscript, or DVI file.

    A

  1. Raslan Hashim Al-Abaji. Evolutionary Techniques for Multi-Objective VLSI Netlist Partitioning, MSc Thesis, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia, August 2002 (abstract).

  2. 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

  3. 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.

  4. 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.

  5. 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.

  6. Hussein A. Abbass and Ruhul Sarker. The Pareto Differential Evolution Algorithm, International Journal on Artificial Intelligence Tools, Vol. 11, No. 4, pp. 531--552, 2002.

  7. Hussein A. Abbass. An Evolutionary Artificial Neural Networks Approach for Breast Cancer Diagnosis, Artificial Intelligence in Medicine, Vol. 25, No. 3, pp. 265--281, 2002.

  8. 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 .

  9. Hussein A. Abbass. Speeding up backpropagation using multiobjective evolutionary algorithms, Neural Computation, Vol. 15, No. 11, pp. 2705--2726, November 2003 .

  10. 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 .

  11. 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 .

  12. H.A. Abbass. An economical cognitive approach for bi-objective optimization using bliss points, visualization and interaction, in Soft Computing, 10(8):687-698, June 2006.

  13. Hussein Abbass. Pareto-Optimal Approaches to Neuro-Ensemble Learning, in Yaochu Jin (Editor), Multi-Objective Machine Learning, pp. 407--427, Springer. Studies in Computational Intelligence, Volume 16, Berlin, 2006.

  14. Mostafa I.H. Abd-El-Barr and Salman A. Khan. Design and analysis of a fault tolerant hybrid mobile scheme, Information Sciences, Vol. 177, No. 12, pp. 2602--2620, June 15, 2007 .

  15. 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.

  16. 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.

  17. 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.

  18. M.A. Abido. Multiobjective Evolutionary Algorithms for Electric Power Dispatch Problem, IEEE Transactions on Evolutionary Computation, Vol. 10, No. 3, pp. 315--329, June 2006 .

  19. 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 .

  20. M.A. Abido. Two-Level of Nondominated Solutions Approach to Multiobjective Particle Swarm Optimization, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 726--733, Vol. 1, ACM Press, London, UK, July 2007 .

  21. 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 .

  22. Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors). Evolutionary Multiobjective Optimization. Theoretical Advances and Applications, Springer, USA, 2005, ISBN 1-85233-787-7 .

  23. Ajith Abraham and Lakhmi Jain. Evolutionary Multiobjective Optimization, in Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors), Evolutionary Multiobjective Optimization. Theoretical Advances and Applications, pp. 1--6, Springer, USA, 2005 .

  24. 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 .

  25. 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.

  26. Jesús Antonio Acosta Sarmiento. Aprendizaje de Particiones Difusas para Razonamiento Inductivo, PhD thesis, Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial, Universitat Politècnica de Catalunya, Barcelona, Spain, December 2006 (In Spanish).

  27. 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 .

  28. 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.

  29. 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.

  30. 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 .

  31. Salem F. Adra, Ian Griffin, and Peter J. Fleming. An Informed Convergence Accelerator for Evolutionary Multiobjective Optimiser, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 734--740, Vol. 1, ACM Press, London, UK, July 2007 .

  32. Salem Fawaz Adra. Improving Convergence, Diversity and Pertinency in Multiobjective Optimisation, PhD thesis, Department of Automatic Control and Systems Engineering, The University of Sheffield, UK, October 2007 (abstract).

  33. 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 .

  34. 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 .

  35. Alexandros Agapitos, Julian Togelius, and Simon M. Lucas. Multiobjective techniques for the Use of State in Genetic Programming applied to Simulated Car Racing. In 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 1562--1569, IEEE Press, Singapore, September 2007.

  36. P. Agarwal and A.M. Raich. Design and optimization of steel trusses using genetic algorithms, parallel computing, and human-computer interaction, Structural Engineering and Mechanics, Vol. 23, No. 4, pp. 325--337, July 10, 2006 .

  37. Varun Aggarwal and Una-May O'Reilly. COSMO: A Correlation Sensitive Mutation Operator for Multi-Objective Optimization, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 741--748, Vol. 1, ACM Press, London, UK, July 2007 .

  38. Eleni Aggelogiannaki and Haralarnbos Sarimveis. Simulated annealing algorithm for prioritized multiobjective optimization-implementation in an adaptive model predictive control configuration, IEEE Transactions on Systems, Man, and Cybernetics Part B--Cybernetics, Vol. 37, No. 4, pp. 902--915, August 2007 .

  39. N. Agrawal, G.P. Rangaiah, A.K. Ray and S.K. Gupta. Multi-Objective Optimization of the Operation of an Industrial Low-Density Polyethylene Tubular Reactor Using Genetic Algorithm and Its Jumping Gene Adaptations, Industrial and Engineering Chemistry Research, Vol. 45, pp. 3182--3199, 2006 .

  40. Shubham Agrawal, Yogesh Dashora, Manoj Kumar Tiwari and Young-Jun Son. Interactive Particle Swarm: A Pareto-Adaptive Metaheuristic to Multiobjective Optimization, IEEE Transactions on Systems, Man, and Cybernetics Part A--Systems and Humans, Vol. 38, No. 2, pp. 258--277, March 2008 .

  41. 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.

  42. 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.

  43. Hernán E. Aguirre, Kiyoshi Tanaka, Tatsuo Sugimura, and Shinjiro Oshita. Halftone Image Generation with Improved Multiobjective Genetic Algorithm. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 501-515. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.

  44. Hernán Eduardo Aguirre Durán. Generational Parallel Varying Mutation GAs and their Applications, PhD thesis, Shinshu University, Japan, March 2003 (abstract) .

  45. Arturo Hernández Aguirre, Salvador Botello Rionda, Carlos A. Coello Coello, Giovanni Lizárraga Lizárraga, and Efrén Mezura Montes. Handling Constraints using Multiobjective Optimization Concepts, International Journal for Numerical Methods in Engineering, Volume 59, No. 15, pp. 1989--2017, April 2004 .

  46. 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 .

  47. 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 .

  48. 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 .

  49. 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 .

  50. 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 .

  51. Arturo Hernández Aguirre and Salvador Botello Rionda. Evolutionary Multi-Objective Optimization of Trusses, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 201--226, World Scientific, Singapore, 2004.

  52. H. Aguirre and K. Tanaka. Random bit climbers on multiobjective MNK-Landscapes: Effects of memory and population climbing, IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, Vol. E88A, No. 1, pp. 334--345, January 2005 .

  53. 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 .

  54. Hernán E. Aguirre and Kiyoshi Tanaka. Working principles, behavior, and performance of MOEAs on MNK-landscapes, European Journal of Operational Research, Vol. 181, No. 3, pp. 1670--1690, 16 September, 2007 .

  55. Hernán Aguirre, Hiroyuki Okazaki, and Yasushi Fuwa. An Evolutionary Multiobjective Approach to Design Highly Non-linear Boolean Functions, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 749--756, Vol. 1, ACM Press, London, UK, July 2007 .

  56. 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.

  57. 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.

  58. 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.

  59. Chang Wook Ahn. Advances in Evolutionary Algorithms. Theory, Design and Practice, Springer, ISBN 3-540-31758-9, 2006 .

  60. Ashish Ahuja, Sanjoy Das and Anil Pahwa. An AIS-ACO hybrid approach for multi-objective distribution system reconfiguration, IEEE Transactions on Power Systems, Vol. 22, No. 3, pp. 1101--1111, August 2007 .

  61. Chang Wook Ahn and R.S. Ramakrishna. Multiobjective Real-coded Bayesian Optimization Algorithm Revisited: Diversity Preservation, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 593--600, Vol. 1, ACM Press, London, UK, July 2007 .

  62. Shamim Akhtar, Kang Tai and Tapabrata Ray. A Socio-Behavioural Simulation Model for Engineering Design Optimization, Engineering Optimization, Vol. 34, No. 4, pp. 341--354, 2002.

  63. Sameer Alam, Lam T. Bui, Hussein A. Abbass and Michael Barlow. Pareto Meta-heuristics for Generating Safe Flight Trajectories Under Weather Hazards, in Tzai-Der Wang, Xiaodong Li, Shu-Heng Chen, Xufa Wang, Hussein Abbass, Hitoshi Iba, Guoliang Chen and Xin Yao (editors), Simulated Evolution and Learning, 6th International Conference, SEAL 2006, pp. 829--836, Springer. Lecture Notes in Computer Science Vol. 4247, Hefei, China, October 2006.

  64. Bilal Alatas, Erhan Akin and Ali Karci. Modenar: Multi-objective differential evolution algorithm for mining numeric association rules, Applied Soft Computing, Vol. 8, No. 1, pp. 646--656, January 2008 .

  65. E. Alba, B. Dorronsoro, F. Luna, A.J. Nebro, P. Bouvry and L. Hogie. A cellular multi-objective genetic algorithm for optimal broadcasting strategy in metropolitan MANETs, Computer Communications, Vol. 30, No. 4, pp. 685--697, February 2007 .

  66. I. Alberto and P.M. Mateo. Representation and management of MOEA populations based on graphs, European Journal of Operational Research, Vol. 159, No. 1, pp. 52--65, November 2004 .

  67. 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

  68. M. Ali-Tavoli, N. Nariman-Zadeh, A. Khakhali and M. Mehran. Multi-objective optimization of abrasive flow machining processes using polynomial neural networks and genetic algorithms, Machining Science and Technology, Vol. 10, No. 4, pp. 491--510, October-December 2006.

  69. B. Aljibouri, E.G. Lim, H. Evans and A. Sambell. Multiobjective genetic algorithm approach for a dual-feed circular polarised patch antenna design, Electronics Letters, Vol. 36, No. 12, pp. 1005--1006, June 2000.

  70. Robin Allenson. Genetic algorithms with gender for multi-function optimisation, Technical Report EPCC-SS92-01, Edinburgh Parallel Computing Centre, Edinburgh, Scotland, 1992.

  71. Augusto de Almeida Prado G. Torácio and Aurora Trinidad Ramírez Pozo. Multiple Objective Particle Swarm for Classification-Rule Discovery, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 684--691, IEEE Press, Singapore, September 2007.

  72. P. Alotto, A. V. Kuntsevitch, Ch. Magele, G. Molinari, C. Paul, K. Preis, M. Repetto, and K. R. Richter. Multiobjective Optimization in Magnetostatics: A Proposal for Benchmark Problems. Technical report, Institut für Grundlagen und Theorie Electrotechnik, Technische Universität Graz, Graz, Austria, 1996. http://www-igte.tu-graz.ac.at/team/berl01.htm

  73. 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 .

  74. M. Joao Alves and Joao Clímaco. An Interactive Method for 0-1 Multiobjective Problems Using Simulated Annealing and Tabu Search. Journal of Heuristics, 6(3):385-403, August 2000.

  75. Maria Joao Alves and Marla Almeida. MOTGA: A multiobjective Tchebycheff based genetic algorithm for the multidimensional knapsack problem, Computers & Operations Research, Vol. 34, No. 11, pp. 3458--3470, November 2007 .

  76. 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.

  77. N. Amanifard, N. Nariman-Zadeh, M. Borji, A. Khalkhali and A. Habibdoust. Modelling and Pareto optimization of heat transfer and flow coefficients in microchannels using GMDH type neural networks and genetic algorithms, Energy Conversion and Management, Vol. 49, No. 2, pp. 311--325, February 2008 .

  78. 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.

  79. P. Amato and M. Farina. An ALife-Inspired Evolutionary Algorithm for Dynamic Multiobjective Optimization Problems, in F. Hoffmann, M. Köppen, F. Klawonn and R. Roy (editors), Advances in Soft Computing, Springer, pp. 113--125, 2005.

  80. Lionel Amodeo, Haoxun Chen and Aboubacar El Hadji. Multi-objective Supply Chain Optimization: An Industrial Case Study, in Mario Giacobini et al. (Editors), Applications of Evolutionary Computing. EvoWorkshops 2007: EvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG, pp. 732--741, Springer. Lecture Notes in Computer Science Vol. 4448, Valencia, Spain, April 2007.

  81. Ashish Anand, P. N. Suganthan and Kalyanmoy Deb. A Novel Fuzzy and Multiobjective Evolutionary Algorithm Based Gene Asignment for Clustering Short Time Series Expression Data, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 297--304, IEEE Press, Singapore, September 2007 .

  82. 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.

  83. 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.

  84. 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 .

  85. Murray B. Anderson and Glenn A. Gerbert. Using Pareto Genetic Algorithms for Preliminary Subsonic Wing Design, Technical Report AIAA-96-4023-CP, AIAA, Washington, D.C., 1996.

  86. 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.

  87. 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.

  88. 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.

  89. 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.

  90. 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.

  91. M.B. Anderson, J.E. Burkhalter and R.M. Jenkins. Missile Aerodynamic Shape Optimization Using Genetic Algorithms, Journal of Spacecraft and Rockets, Vol. 37, No. 5, pp. 663--669, September-October 2000.

  92. S.R. Anderson, V. Kadirkamanathan, A. Chipperfield, V. Sharifi and J. Swithenbank. Multi-objective optimization of operational variables in a waste incineration plant, Computers and Chemical Engineering, Vol. 29, No. 5, pp. 1121--1130, April 15, 2005 .

  93. 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

  94. Johan Andersson. A Survey of Multiobjective Optimization in Engineering Design, Technical Report No. LiTH-IKP-R-1097, Department of Mechanical Engineering, Linköping University, 2000.

  95. 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

  96. Johan Andersson. Multiobjective Optimization in Engineering Design, PhD Thesis, Linköpings University, Division of Fluid and Mechanical Engineering Systems, Linköping, Sweden, 2001 (abstract)

  97. 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.

  98. Johan Andersson and Petter Krus. Multiobjective Optimization of Mixed Variable Design Problems, In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 624--638, Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001

  99. J. Andersson and D. Wallace. Pareto optimization using the struggle genetic crowding algorithm, Engineering Optimization, Vol. 34, No. 6, pp. 623--643, December 2002.

  100. 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.

  101. 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 .

  102. Johan Andersson. Design of Fluid Power Systems using a Multi Objective Genetic Algorithm, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 483--503, World Scientific, Singapore, 2004.

  103. Johan Andersson. Sensitivity Analysis In Multi-Objective Evolutionary Design, in Kay Chen Tan, Meng Hiot Lim, Xin Yao and Lipo Wang, (editors), Recent Advances in Simulated Evolution and Learning, pp. 386-405, World Scientific, Singapore, 2004.

  104. 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 .

  105. 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 .

  106. 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 .

  107. 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.

  108. 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

  109. 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

  110. 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.

  111. 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.

  112. Kiam Heong Ang, Gregory Chong and Yun Li. Visualization Technique for Analyzing Non-dominant Pareto Optimality, in Kay Chen Tan, Meng Hiot Lim, Xin Yao and Lipo Wang (editors), Recent Advances in Simulated Evolution and Learning, pp. 327--346, World Scientific, Singapore, 2004.

  113. J. H. Ang, C. K. Goth, E. J. Teoh, and A. A. Mamun. Multi-objective Evolutionary Recurrent Neural Networks for System Identification. In 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 1586--1592, IEEE Press, Singapore, September 2007.

  114. 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 .

  115. Anders Angantyr and Jan-Olov Aidanpää. A Pareto-Based Genetic Algorithm Search Approach to Handle Damped Natural Frequency Constraints in Turbo Generator Rotor System Design, Journal of Engineering Gas Turbines and Power, Vol. 126, No. 3, pp. 619--625, July 2004.

  116. Anders Angantyr. Rotordynamic Optimization of Large Turbo Systems using Genetic Algorithms, PhD thesis, The Polhelm Laboratory, Division of Computer Aided Design, Lulea University of Technolog, Lulea, Sweden, March 2006 (abstract) .

  117. 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 .

  118. Daniel Angus. Crowding Population-based Ant Colony Optimization for the Multi-objective Travelling Salesman Problem, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 333--340, IEEE Press, Honolulu, Hawaii, USA, April 2007 .

  119. 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.

  120. W. Annicchiarico and M. Cerrolaza. Identification of the dynamical properties of structures using free vibration data and distributed genetic algorithms, Engineering Optimization, Vol. 39, No. 8, pp. 969--980, December 2007.

  121. Nicolas Eugene Antoine. Aircraft Optimization for Minimal Environmental Impact, PhD thesis, Department of Aeronautics and Astronautics, Stanford University, Stanford, California, USA, August 2004 (abstract).

  122. 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 .

  123. 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.

  124. M. Arakawa, K. Hasegawa and K. Funatsu. QSAR study of anti-HIV HEPT analogues based on multi-objective genetic programming and counter-propagation neural network, Chemometrics and Intelligent Laboratory Systems, Vol. 83, No. 2, pp. 91--98, September 15, 2006 .

  125. C. Aranha and H. Iba. Modelling Cost into a Genetic Algorithm-Based Portfolio Optimization System by Seeding an Objective Sharing, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 196--203, IEEE Press, Singapore, September 2007 .

  126. L. Araujo. Multiobjective Genetic Programming for Natural Language Parsing and Tagging, in Thomas Philip Runarsson, Hans-Georg Beyer, Edmund Burke, Juan J. Merelo-Guervós, L. Darrell Whitley and Xin Yao (editors), Parallel Problem Solving from Nature - PPSN IX, 9th International Conference, pp. 433--442, Springer. Lecture Notes in Computer Science Vol. 4193, Reykjavik, Iceland, September 2006 .

  127. 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.

  128. 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.

  129. Vinícius Amaral Armentano and José Elias Claudio. An Application of a Multi-Objective Tabu Search Algorithm to a Bicriteria Flowshop Problem, Journal of Heuristics, Vol. 10, No. 5, pp. 463--481, September 2004.

  130. Marc Torrens Arnal. Scalable Intelligent Electronic Catalogs, PhD thesis, Faculté Informatique et Communications Section d'Informatique, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 2003 (abstract).

  131. S. Arnone and A. Loraschi and A. Tettamanzi. A genetic approach to portfolio selection, Neural Network World, Vol. 3, No. 6, pp. 597--604, 1993.

  132. J.E.C. Arroyo and V.A. Armentano. Genetic local search for multi-objective flowshop scheduling problems, European Journal of Operational Research, Vol. 167, No. 3, pp. 717--738, December 16, 2005 .

  133. Jose Elias Claudio Arroyo, Pedro Sampaio Vieira and Dalessandro Soares Vianna. A GRASP algorithm for the multi-criteria minimum spanning tree problem, Annals of Operations Research, Vol. 159, No. 1, pp. 125--133, March 2008 .

  134. T. Arslan, D. H. Horrocks, and E. Ozdemir. Structural Synthesis of Cell-based VLSI Circuits using a Multi-Objective Genetic Algorithm, IEE Electronic Letters, 32(7):651-652, March 1996.

  135. 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.

  136. Yilmaz Arslanoglu. Genetic Algorithm for Personnel Assignment Problem with Multiple Objectives, Masters thesis, The Graduate School of Natural and Applied Sciences of Middle East Technical University, Turkey, Janaury 2006 (abstract) .

  137. 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.

  138. 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.

  139. 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 .

  140. Giuseppe Ascia, Vincenzo Catania and Maurizio Palesi. A GA-Based Design Space Exploration Framework for Parameterized System-On-A-Chip Platforms, IEEE Transactions on Evolutionary Computation, Vol. 8, No. 4, pp. 329--346, August 2004.

  141. Giuseppe Ascia, Vincenzo Catania and Maurizio Palesi. A multiobjective genetic approach for system-level exploration in parameterized systems-on-a-chip, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 24, No. 4, pp. 635--645, April 2005 .

  142. 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.

  143. Giuseppe Ascia, Vincenzo Catania and Maurizio Palesi. Mapping Cores on Network-on-Chip, International Journal of Computational Intelligence Research, Vol. 1, No. 2, pp. 109--126, 2005.

  144. 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 .

  145. K. Atashkari, N. Nariman-Zadeh, A. Pilechi, A. Jamali and X. Yao. Thermodynamic Pareto optimization of turbojet engines using multi-objective genetic algorithms, International Journal of Thermal Sciences, Vol. 44, No. 11, pp. 1061--1071, November 2005 .

  146. K. Atashkari, N. Nariman-Zadeh, M. Golcu, A. Khalkhali and A. Jamali, Modelling and multi-objective optimization of a variable valve-timing spark-ignition engine using polynomial neural networks and evolutionary algorithms, Energy Conversion and Management, Vol. 48, No. 3, pp. 1029--1041, March 2007 .

  147. David Atienza, Christos Baloukas, Lazaros Papadopoulos, Christophe Poucet, Stylianos Mamagkakis, Jose I. Hidalgo, Francky Catthoor, Dimitrios Soudris and Juan Lanchares. Optimization of Dynamic Data Structures in Multimedia Embedded Systems Using Evolutionary Computation, In Proceedings of 10th ACM International Workshop on Software & Compilers for Embedded Systems (SCOPES), pp 31--40, ACM Press, Nice, France, 2007 .

  148. John Atkinson-Abutridy, Chris Mellish and Stuart Aitken, A Semantically Guided and Domain-Independent Evolutionary Model for Knowledge Discovery From Texts, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 6, pp. 546--560, December 2003 .

  149. A. Augugliaro, L. Dusonchet and E. Riva Sanseverino. Multiobjective service restoration in distribution networks using an evolutionary approach and fuzzy sets, Electrical Power and Energy Systems, Vol. 22, No. 2, pp. 103--110, February 2000.

  150. Antonino Augugliaro, Luigi Dusonchet and Eleonora Riva Sanseverino. Evolving non-dominated solutions in multiobjective service restoration for automated distribution networks, Electric Power Systems Research, Vol. 59, No. 3, pp. 185--195, October 2001.

  151. 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 .

  152. Gideo Avigad, Amiram Moshaiov and Neima Brauner. MOEA-Based Approach to Delayed Decisions for Robust Conceptual Design, in Franz Rothlauf et al. (editors), Applications of Evolutionary Computing. Evoworkshops 2005: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC, pp. 584--589, Springer. Lecture Notes in Computer Science Vol. 3449, Lausanne, Switzerland, March/April 2005 .

  153. Gideon Avigad. multi-Multi-Objective Optimization Problem and Its Solution by a MOEA, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 847--861, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.

  154. S.L. Avila, A.C. Lisboa, L. Krahenbuhl, W.P. Carpes, J.A. Vasconcelos, R.R. Saldanha and R.H.C. Takahashi. Sensitivity analysis applied to decision making in multiobjective evolutionary optimization, in IEEE Transactions on Magnetics, 42(4):1103-1106, April 2006.

  155. B. Awadh, N. Sepehri, and O. Hawaleshka. A Computer-Aided Process Planning Model Based on Genetic Algorithms. Computers in Operations Research, 22(8):651-652, 1995.

  156. 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.

    157. B

  157. 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.

  158. 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 .

  159. B.V. Babu, P.G. Chakole and J.H.S. Mubeen. Multiobjective differential evolution (MODE) for optimization of adiabatic styrene reactor, Chemical Engineering Science, Vol. 60, No. 17, pp. 4822--4837, September 2005 .

  160. B.V. Babu and J.H. Syed Mubeen and Pallavi G. Chakole. Simulation and Optimization of Wiped-Film Poly-Ethylene Terephthalate (PET) Reactor using Multiobjective Differential Evolution (MODE), Materials and Manufacturing Processes, Vol. 22, No. 5, pp. 541--552, 2007 .

  161. Thomas Bäck, David B. Fogel, and Zbigniew Michalewicz, editors. Handbook of Evolutionary Computation. Institute of Physics Publishing and Oxford University Press, 1997.

  162. Tomas Bäck, Lars Willmes and Peter Krause. Evolution Strategies: Bioinspired Optimization for Engineering, in Bogdan Filipic and Jurij Silc (editors), Bioinspired Optimization Methods and Their Applications. Proceedings of the International Conference on Bioinspired Optimization Methods and their Applications, BIOMA 2004, pp. 3--17, Jožef Stefan Institute, Ljubljana, Slovenia, October 2004 .

  163. Khaled M. S. Badran and Peter I. Rockett. The Roles of Diversity Preservation and Mutation in Preventing Population Collapse in Multiobjective Genetic Programming, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 1551--1557, Vol. 2, ACM Press, London, UK, July 2007 .

  164. Tapan P. Bagchi. Multiobjective Scheduling by Genetic Algorithms. Kluwer Academic Publishers, Boston, 1999.

  165. Tapan P. Bagchi. Pareto-Optimal Solutions for Multi-objective Production Scheduling Problems. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 458-471. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 .

  166. 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.

  167. 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.

  168. A. Rauf Baig and M. Rashid. Honey Bee Foraging Algorithm for Multimodal & Dynamic Optimization Problems, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 169, Vol. 1, ACM Press, London, UK, July 2007 .

  169. Breanna Bailey and Anne Raich. Interactive Multi-Objective Design of Long-Span Trusses, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 902, Vol. 1, ACM Press, London, UK, July 2007 .

  170. Flavio Baita, Francesco Mason, Carlo Poloni, and Walter Ukovich. Genetic algorithm with redundancies for the vehicle scheduling problem. In J. Biethahn and Volker Nissen, editors, Evolutionary Algorithms in Management Applications, pages 341-353. Springer-Verlag, Berlin, 1995.

  171. 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.

  172. Jerzy Balicki and Zybmunt Kitowski. Multicriteria evolutionary algorithm with tabu search for task assignment. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 373-384. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.

  173. 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.

  174. 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.

  175. Jerzy Balicki. Multi-criterion Optimisation of Distributed System Performance by Evolutionary Task Assignments, Journal of Research and Practice in Information Technology, Vol. 33, No. 2, pp. 173--185, 2001.

  176. 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 .

  177. 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 .

  178. 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 .

  179. 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 .

  180. Jerzy Balicki. Multicriterion Evolutionary Algorithm for Workload Balancing of the Web Bank Servers, International Journal of Computer Science and Networks Security, Vol. 6, No. 10, pp. 206--212, October 2006.

  181. 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 .

  182. Richard J. Balling, John T. Taber, Michael R. Brown, and Kirsten Day. Multiobjective Urban Planning Using a Genetic Algorithm. ASCE Journal of Urban Planning and Development, 125(2):86-99, June 1999.

  183. 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.

  184. Richard J. Balling. Pareto sets in decision-based design, Journal of Engineering Valuation and Cost Analysis, Vol. 3, pp. 189--198, 2001

  185. 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 .

  186. 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 .

  187. Richard Balling. City and Regional Planning Via a MOEA: Lessons Learned, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 227--245, World Scientific, Singapore, 2004.

  188. 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 .

  189. Sanghamitra Bandyopadhyay, Sankar K. Pal and B. Aruna. Multiobjective GAs, Quantitative Indices, and Pattern Classification, IEEE Transactions on Systems, Man, and Cybernetics---Part B: Cybernetics, Vol. 34, No. 5, pp. 2088--2099, October 2004 .

  190. Sanghamitra Bandyopadhyay, Ujjwal Maulik and Anirban Mukhopadhyay. Multiobjective Genetic Clustering for Pixel Classification in Remote Sensing Imagery, IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, No. 5, pp. 1506--1511, May 2007.

  191. Sanghamitra Bandyopadhyay, Abirban Mukhopadhyay and Ujjwal Maulik. An Improved Algorithm for Clustering Gene Expression Data, Bioionformatics, Vol. 23, No. 21, pp. 2859--2865, 2007.

  192. Mohua Banerjee, Sushmita Mitra and Ashish Anand. Feature Selection Using Rough Sets, in Yaochu Jin (Editor), Multi-Objective Machine Learning, pp. 3--20, Springer. Studies in Computational Intelligence, Volume 16, Berlin, 2006.

  193. Mohua Banerjee, Sushmita Mitra and Ashish Anand. Evolutionary Rough Feature Selection in Gene Expression Data, IEEE Transactions on Systems, Man, and Cybernetics---Part C: Applications and Reviews, Vol. 37, No. 4, pp. 622--632, July 2007.

  194. Nilanjan Banerjee and Rajeev Kumar. Multiobjective Network Design for Realistic Traffic Models, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 1904--1911, Vol. 2, ACM Press, London, UK, July 2007 .

  195. R. Baños, C. Gil, B. Paechter and J. Ortega. Parallelization of Population-based Multi-objective Metaheuristics: An Empirical Study, Applied Mathematical Modelling, Vol. 30, No. 7, pp. 578--592, 2006 .

  196. Raúl Baños Navarro. Meta-heurísticas Híbridas para Optimización Mono-objetivo y Multi-objetivo. Paralelización y Aplicaciones, PhD thesis, Departamento de Arquitectura de Computadores y Electrónica, Universidad de Almería, Spain, December 2006 (In Spanish).

  197. R. Baños, C. Gil, J. Gómez and J. Ortega. Performance Analysis of Parallel Strategies for Bi-objective Network Partitioning, in Ashutosh Tiwari, Joshua Knowles, Erel Avineri, Keshav Dahal and Rajkumar Roy (Editors), Applications of Soft Computing. Recent Trends, pp. 291--300, Springer-Verlag, Berlin, 2006.

  198. R. Baños, C. Gil, B. Paechter and J. Ortega. A Hybrid Meta-Heuristic for Multi-Objective Optimization: MOSATS, Vol. 6, No. 2, pp. 213--230, June 2007 .

  199. 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.

  200. 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.

  201. 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.

  202. B. Baran, C. von Lucken and A. Sotelo. Multi-objective pump scheduling optimisation using evolutionary strategies, Advances in Engineering Software, Vol. 36, No. 1, pp. 39--47, January 2005 .

  203. 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.

  204. 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.

  205. 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.

  206. P. Di Barba, M. Farina, and A. Savini, Progress in automated design of small and micro-electromechanical devices, Studies in Applied Electromagnetics and Mechanics, pp. 571--574, IOS Press, Vol. 18, 1999.

  207. P. Di Barba, M. Farina, and A. Savini, Multicriteria Strategy for the optimization of air-cored solenoid systems, Studies in Applied Electromagnetics and Mechanics, pp. 475--478, IOS Press, Vol. 18, 1999.

  208. 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.

  209. 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 .

  210. 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 .

  211. Vincent Barichard. Approches Hybrides Pour Les Problèmes Multiobjectif

    , PhD thesis, Laboratoire d'Etude et de Recherche en Informatique d'Angers, Université d'Angers, France, November 2003 (in French) .

  212. Gregory John Barlow. Design of Autonomous Navigation Controllers for Unmanned Aerial Vehicles using Multi-Objective Genetic Programming, Masters thesis, North Carolina State University, Raleigh, North Carolina, USA, March 2004 (abstract) .

  213. Claude Baron, Samuel Rochet and Daniel Esteve. GESOS: A Multi-Objective Genetic Tool for Project Management Considering Technical and Non-Technical Constraints, in Max Bramer and Vladan Devedzic (editors), Artificial Intelligence Applications and Innovations, pp. 329--342, Kluwer Academic Publishers, Boston/Dordrecht/London, 2004.

  214. 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.

  215. 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 .

  216. 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 .

  217. Carlos Barrico and Carlos Henggeler Antunes. An Evolutionary Approach for Assessing the Degree of Robustness of Solutions to Multi-Objective Models, in Shengxiang Yang, Yew Soon Ong and Yaochu Jin (editors), Evolutionary Computation in Dynamic and Uncertain Environments, pp. 565--582, Springer, 2007, ISBN 978-3-540-49772-1 .

  218. 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.

  219. 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 .

  220. Thomas Bartz-Beielstein, Karlheinz Schmitt, Jörn Mehnen, Boris Naujoks, and Dmytro Zibold. KEA - A software package for development, analysis, and application of multiple objective evolutionary algorithms, Internal Report of the Collaborative Reserach Center 531 Computational Intelligence, CI-185/04, University of Dortmund, November, 2004.

  221. 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 .

  222. 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.

  223. 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 .

  224. 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 .

  225. 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 .

  226. Matthieu Basseur. Conception d'Algorithmes Coopératifs Pour L'Optimisation Multi-Objectif: Application aux Problèmes d'Ordonnancement de Type Flow-Shop, PhD thesis, Université des Sciences et Technologies de Lille, France, 2005 (in French) (abstract in English).

  227. Matthieu Basseur, Franck Seynhaeve and El-Ghazali Talbi. A Cooperative Metaheuristic Applied to Multi-Objective Flow-Shop Scheduling Problem, in Nadia Nedjah and Luiza de Macedo Mourelle (editors), Real-World Multi-Objective System Engineering, pp. 139--162, Nova Science Publishers, New York, 2005.

  228. Matthieu Basseur and Eckart Zitzler. Handling Uncertainty in Indicator-Based Multiobjective Optimization, International Journal of Computational Intelligence Research, Vol. 2, No. 3, pp. 255--272, 2006 .

  229. 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 .

  230. L. Bastidas, H. V. Gupta, S. Sorooshian, W. J. Shuttleworth, and Z. L. Yang. Parameter Estimation of a Land Surface Scheme using Multi-Criteria Methods. Journal of Geophysical Research--Atmospheres, 104(D16):19491, 1999.

  231. 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.

  232. 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.

  233. 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.

  234. U. Baumgartner, Ch. Magele and W. Renhart. Pareto Optimality and Particle Swarm Optimization, IEEE Transactions on Magnetics, Vol. 40., No. 2, pp. 1172--1175, March 2004.

  235. 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.

  236. A. Baykasoglu, S. Owen and N. Gindy. Solution of goal programming models using a basic taboo search algorithm, Journal of the Operational Research Society, Vol. 50, pp. 960--973, 1999.

  237. A. Baykasoglu, S. Owen and N. Gindy. A taboo search based approach to find the Pareto optimal set in multiple objective optimisation,Engineering Optimization, Vol. 31, No. 6, pp. 731--748, 1999.

  238. 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.

  239. A. Baykasoglu and N. Gindy. MOCACEF 1.0:Capability based approach to form part-machine groups for cellular manufacturing applications, International Journal of Production Research, Vol. 38, No. 5, pp. 1133--1161, March 2000.

  240. A. Baykasoglu, Goal Programming using Multiple Objective Tabu Search, Journal of the Operational Research Society, Vol. 52, No. 12, pp. 1359--1369, December 2001.

  241. A. Baykasoglu, N.N.Z. Gindy and R.C. Cobb. Capability based formulation and solution of multiple objective cell formation problems using simulated annealing, Integrated Manufacturing Systems: The International Journal of Manufacturing Technology Management, Vol. 12, No. 4, pp. 258--274, 2001.

  242. A. Baykasoglu. MOAPPS 1.0: Aggregate production planning using the multiple objective tabu search, International Journal of Production Research, Vol. 39, No. 16, pp. 3685--3702, 2001.

  243. 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.

  244. A. Baykasoglu, L. Özbakyr and A.I. Sönmez. A Tabu Search Based Linguistic Optimization Approach to Due Date Determination in Earliness-Tardiness Flexible Job Shop Scheduling, International Journal of Advanced Manufacturing Systems, Vol. 6, No. 1, pp. 81--90, 2003.

  245. A. Baykasoglu, L. Özbakyr and A.I. Sönmez. Using multiple objective tabu search and grammars to model and solve multi-objective flexible job shop scheduling problems, Journal of Intelligent Manufacturing, 15(6), 777-785, 2004.

  246. Adil Baykasoglu. Preemptive goal programming using simulated annealing, Engineering Optimization, Vol. 37, No. 1, pp. 49--63, January 2005 .

  247. 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 .

  248. 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 .

  249. Ricardo P. Beausoleil Delgado. Multiple Criteria Scatter Search, in Jorge Pinho de Sousa (Editor), Proceedings of the 4th Metaheuristics International Conference (MIC'2001), pp. 539--543, Porto, Portugal, Program Operational Ciencia, Tecnologia, Inovaçao do Quadro Comunitário de Apoio III de Fundaçao para a Ciencia e Tecnologia, July 2001

  250. Ricardo P. Beausoleil. "MOSS"multiobjective scatter search applied to non-linear multiple criteria optimization, European Journal of Operational Research, Vol. 169, No. 2, pp. 426--449, March 1st, 2006 .

  251. Ricardo P. Beausoleil. "MOSS-II" Tabu/Scatter Search for Nonlinear Multiobjective Optimization, in Patrick Siarry and Zbigniew Michalewicz (editors), Advances in Metaheuristic Methods for Hard Optimization, pp. 39-67, Springer, Berlin, 2008, ISBN 978-3-540-72959-4 .

  252. 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 .

  253. 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.

  254. A. D. Belegundu and P. L. N. Murthy. A New Genetic Algorithm for Multiobjective Optimization. Technical Report No. AIAA-96-4180-CP, AIAA, Washington, D.C., 1996.

  255. 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 .

  256. Ernesto Benini and Andrea Toffolo. Development of High-Performance Airfoils for Axial Flow Compressors Using Evolutionary Computation, Journal of Propulsion and Power, Vol. 18, No. 3, pp. 544--554, May-June 2002.

  257. Alessandro Benedetti, Marco Farina and M. Gobbi. Evolutionary Multiobjective Industrial Design: The Case of a Racing Car Tire-Suspension System, IEEE Transactions on Evolutionary Computation, Vol. 10, No. 3, pp. 230--244, June 2006 .

  258. Ernesto Benini and Andrea Toffolo. Optimal design of horizontal-axis wind turbines using blade-element theory and evolutionary computation, Journal of Solar Energy Engineering--Transactions of the ASME, Vol. 124, No. 4, pp. 357--363, November 2002.

  259. David A. Bennett, Ningchuan Xiao and Marc P. Armstrong. Exploring the Geographic Consequences of Public Policies Using Evolutionary Algorithms, Annals of the Association of American Geographers, Vol. 94, No. 4, pp. 827--847, 2004.

  260. P. J. Bentley and J. P. Wakefield. An Analysis of Multiobjective optimization within Genetic Algorithms, Technical Report ENGPJB96, University of Huddersfield, UK, 1996.

  261. 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)).

  262. 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.

  263. P. J. Bentley, editor. P. J. Bentley, editor. Evolutionary Design by Computers, Academic Press Ltd., London, 1999.

  264. 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.

  265. Djamel Berkoune. Optimisation de L'Ordonnancement Pernant en Compte Les Tâches Prévisionnelles, PhD thesis, Université de Valenciennes et du Hainaut Cambrésis, France, December 2005 (in French).

  266. 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 .

  267. Ester Bernadó i Mansilla and Josep M. Garrell i Guiu. MOLeCS: Using Multiobjective Evolutionary Algorithms for Learning. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 696-710. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 .

  268. José Luis Bernal Agustín. Aplicación de Algoritmos Genéticos al Diseño Óptimo de Sistemas de Distribución de Energía Eléctrica, PhD thesis, Department of Electrical Engineering, University of Zaragoza, Spain, January 1998. (In Spanish).

  269. J.L. Bernal-Agustin, R. Dufo-Lopez and D.M. Rivas-Ascaso, Design of isolated hybrid systems minimizing costs and pollutant emissions, Renewable Energy, Vol. 31, No. 14, pp. 2227--2244, November 2006 .

  270. Knut Bernhardt. Finding alternatives and reduced formulations for process-based models, Evolutionary Computation, Vol. 16, No. 1, pp. 63--88, Spring 2008 .

  271. 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.

  272. 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.

  273. 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

  274. Alain Berro. Optimisation Multiobjectif et Stratégies d'Evolution en Environnement Dynamique, PhD thesis, Université des Sciences Sociales Toulouse I, Toulouse, France, December 2001 (In French).

  275. 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 .

  276. 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 .

  277. 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.

  278. 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 .

  279. 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 .

  280. Adam Michael Berry. Escaping the Bounds of Generality---Unbounded Bi-Objective Optimisation, PhD thesis, University of Tasmania, March 2008 (abstract) .

  281. Nicola Beume, Boris Naujoks and Michael Emmerich. SMS-EMOA: Multiobjective selection based on dominated hypervolume, European Journal of Operational Research, Vol. 181, No. 3, pp. 1653--1669, 16 September, 2007 .

  282. Bir Bhanu, Sungkee Lee and Subhadev Das. Adapting Image Segmentation using Genetic and Hybrid Search Methods, IEEE Transactions on Aerospace and Electronic Systems, Vol. 31, No. 4, pp. 1268--1291, October 1995.

  283. V. Bhaskar, S.K. Gupta and A.K. Ray. Multiobjective optimization of an industrial wiped-film pet reactor, AICHE Journal, Vol. 46, No. 5, pp. 1046--1058, May 2000.

  284. V. Bhaskar, S.K. Gupta and A.K. Ray. Applications of multiobjective optimization in chemical engineering, Reviews in Chemical Engineering, Vol. 16, No. 1, pp. 1--54, 2000.

  285. V. Bhaskar, S.K. Gupta and A.K. Ray. Multiobjective optimization of an industrial wiped film poly(ethylene terephthalate) reactor: some further insights, Computers & Chemical Engineering, Vol. 25, Nos. 2--3, pp. 391--407, March 2001.

  286. 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.

  287. N. Bhutani, G.P. Rangaiah and A.K. Ray. First Principles, Data Based and Hybrid Modeling and Optimization of an Industrial Hydrocracking Unit, Industrial and Engineering Chemistry Research, Vol. 45, pp. 7807--7816, 2006 .

  288. N. Bhutani, A.K. Ray and G.P. Rangaia. Modeling, Simulation and Multi-objective Optimization of an Industrial Hydrocracking Unit, Industrial and Engineering Chemistry Research, Vol. 45, pp. 1354--1372, 2006 .

  289. 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.

  290. 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.

  291. 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

  292. 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.

  293. To Thanh Binh. Eine Entwurfsstrategie für Mehrgrößensystemezur Polgebietsvorgabe, PhD thesis, Institute of Automation, University of Magdeburg, Germany, 1994.

  294. 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.

  295. To Thanh Binh, Urlich Korn, and J. Kliche. Evolution Strategy Toolbox for use with MATLAB, Technical report, Institute of Automation, University of Magdeburg, Germany, March 1996.

  296. 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.

  297. To Thanh Binh and Urlich Korn. Ein multikriterielles Design-Tool für Mehrgrößensysteme mittels Evolutionsstrategien. Fachtagung 1997: Moderne Methoden des Regelungs- und ungsentwurfes, pages 35-42, 1997.

  298. 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.

  299. 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.

  300. 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.

  301. Urlich Korn and To Thanh Binh. The parallel evolution strategy toolbox. Automatisierungstechnik, 4:207-208, 1998.

  302. To Thanh Binh and Urlich Korn. A parallel multiobjective evolutionary algorithm. Submission paper for Evolutionary Computing 1999, 1999.

  303. To Thanh Binh. A multiobjective evolutionary algorithm: The study cases, Technical report, Institute for Automation and Communication, Barleben, Germany, January 1999.

  304. 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.

  305. T. Biondi, A. Ciccazzo, V. Cutello, S. D'Antona, G. Nicosia and S. Spinella, Multi-objective evolutionary algorithms and pattern search methods for circuit design problems, Journal of Universal Computer Science, Vol. 12, No. 4, pp. 432--449, 2006 .

  306. 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 .

  307. Pushpen Biswas, Purnendu Bose and Vinod Tare. Optimal choice of wastewater treatment train by multi-objective optimization, Engineering Optimization, Vol. 39, No. 2, pp. 125--145, March 2007 .

  308. L. Blasi, L. Iuspa and G. Del Core. Speed-sensitivity analysis by a genetic multiobjective optimization technique, Journal of Aircraft, Vol. 39, No. 6, pp. 1076--1079, November-December 2002.

  309. 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 .

  310. Ivan Blecic, Arnaldo Cecchini and Giuseppe A. Trunfio. A decision support tool coupling a causal model and a multi-objective genetic algorithm, Applied Intelligence, Vol. 26, No. 2, pp. 125--137, April 2007 .

  311. 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

  312. 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 .

  313. Stefan Bleuler, Johannes Bader, Eckart Zitzler . Reducing Bloat in GP with Multiple Objectives , in Joshua Knowles, David Corne and Kalyanmoy Deb (Editors), Multi-Objective Problem Solving from Nature: From Concepts to Applications, pp. 177--200, Springer, Berlin, 2008, ISBN 978-3-540-72963-1 .

  314. Tobias Blickle, Jürgen Teich, and Lothar Thiele. System-level synthesis using evolutionary algorithms, Technical Report TIK Report-Nr. 16, Computer Engineering and Communication Networks Lab (TIK), Swiss Federal Institute of Technology (ETH), Gloriastrasse 35, 8092 Zurich, April 1996.

  315. 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.

  316. 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.

  317. Anna L. Blumel, Evan J. Hughes, and Brian A. White. Multi-objective Evolutionary Design of Fuzzy Autopilot Controller. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 668-680. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001

  318. 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.

  319. Anna Lubomirova Blumel. Robust Fuzzy Autopilot Design Using Multi-objective Optimisation for a Highly Non-linear Missile, PhD thesis, Department of Aerospace, Power & Sensors, Cranfield University, UK, March 2001 (abstract).

  320. Daniel W. Boeringer and Douglas H. Werner. Bézier representations for the multiobjective, optimization of conformal array amplitude weights, IEEE Transactions on Antennas and Propagation, Vol. 54, No. 7, pp. 1964--1970, July 2006 .

  321. Pedro Castro Borges and Michael Pilegaard Hansen. A basis for future successes in multiobjective combinatorial optimization. Technical Report IMM-REP-1998-8, Institute of Mathematical Modelling, Technical University of Denmark, March 1998.

  322. Piero P. Bonissone, Raj Subbu, Neil Eklund and Thomas R. Kiehl. Evolutionary Algorithms + Domain Knowledge = Real-World Evolutionary Computation, IEEE Transactions on Evolutionary Computation, Vol. 10, No. 3, pp. 256--280, June 2006 .

  323. 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.

  324. Pedro Castro Borges. CHESS-Changing Horizon Efficient Set Search: A Simple Principle for Multiobjective Optimization. Journal of Heuristics, 6(3):405-418, August 2000.

  325. Carlos C.H. Borges and Helio J.C. Barbosa. Obtaining a Restricted Pareto Front in Evolutionary Multiobjective Optimization, Foundations of Computing and Decision Sciences, Vol. 26, No. 1, pp. 5--21, 2001.

  326. C. A. Borghi, D. Casadei, M. Fabbri, and G. Serra. Reduction of the torque ripple in permanent magnet actuators by a multiobjective minimization technique. IEEE Transactions on Magnetics, 34(5):2869-2872, September 1998.

  327. István Borgulya. An EC-Memory based Method for the Multi-Objective TSP, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 903, Vol. 1, ACM Press, London, UK, July 2007 .

  328. 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.

  329. Peter A.N. Bosman and Dirk Thierens. The Balance Between Proximity and Diversity in Multiobjective Evolutionary Algorithms, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 2, pp. 174--188, April 2003 .

  330. Peter Alexander Nicolaas Bosman. Design and Application of Iterated Density-Estimation Evolutionary Algorithms, PhD thesis, Institute of Information and Computing Sciences, Universiteit Utrecht, Utrecht, The Netherlands, 2003 (abstract).

  331. 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 .

  332. 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 .

  333. 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 .

  334. Peter A.N. Bosman and Dirk Thierens. Adaptive Variance Scaling in Continuous Multi-Objective Estimation-of-Distribution Algorithms, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 500--507, Vol. 1, ACM Press, London, UK, July 2007 .

  335. 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.

  336. 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.

  337. 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 .

  338. 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 .

  339. Lucas Bradstreet, Luigi Barone, Lyndon While, Simon Huband and Phillip Hingston. Use of the WFG Toolkit and PISA for Comparison of MOEAs, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 382--389, IEEE Press, Honolulu, Hawaii, USA, April 2007 .

  340. Antˆnio Pádua Braga, Ricardo H.C. Takahashi, Marcelo Azevedo Costa and Roselito de Albuquerque Teixeira. Multi-Objective Algorithms for Neural Networks Learning, in Yaochu Jin (Editor), Multi-Objective Machine Learning, pp. 151--171, Springer. Studies in Computational Intelligence, Volume 16, Berlin, 2006.

  341. 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.

  342. Jürgen Branke, Thomas Kaußler, and Hartmut Schmeck. Guiding Multi Objective Evolutionary Algorithms Towards Interesting Regions, Technical Report 398, Institute für Angewandte Informatik und Formale Beschreibungsverfahren, Universität Karlsruhe, Karlsruhe, Germany, February 2000.

  343. 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.

  344. Jürgen Branke, Thomas Kaußler, and Hartmut Schmeck. Guidance in Evolutionary Multi-Objective Optimization, Advances in Engineering Software, Vol. 32, pp. 499--507, 2001

  345. 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 .

  346. 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.

  347. Jürgen Branke and Kalyanmoy Deb. Integrating User Preferences into Evolutionary Multi-Objective Optimization, in Yaochu Jin (editor), Knowledge Incorporation in Evolutionary Computation, Springer, pp. 461--477, Berlin Heidelberg, 2005, ISBN 3-540-22902-7 .

  348. Jürgen Branke and Sanaz Mostaghim. About Selecting the Personal Best in Multi-Objective Particle Swarm Optimization, in Thomas Philip Runarsson, Hans-Georg Beyer, Edmund Burke, Juan J. Merelo-Guervós, L. Darrell Whitley and Xin Yao (editors), Parallel Problem Solving from Nature - PPSN IX, 9th International Conference, pp. 523--532, Springer. Lecture Notes in Computer Science Vol. 4193, Reykjavik, Iceland, September 2006 .

  349. Marc Stephen Bright. Evolutionary Strategies for the High-Level Synthesis of VLSI-Based DSP Systems for Low Power, PhD thesis, University Of Wales Cardiff, School Of Engineering, Circuits And Systems Research Group, Cardiff, Wales, UK, October 1998.

  350. 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.

  351. 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.

  352. 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.

  353. 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.

  354. 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 .

  355. 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.

  356. Marie-Odile Bristeau, Roland Glowinski, Bertrand Mantel, Jacques Périaux and Mourad Sefrioui. Genetic Algorithms for Electromagnetic Backscattering: Multiobjective Optimization, in Yahya Rahmat-Samii and Eric Michielssen (editors), Electromagnetic Optimization by Genetic Algorithms, Chapter 13, pp. 399--434, John Wiley and Sons, Inc., New York, 1999

  357. 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.

  358. Carlos Alberto Brizuela Rodríguez. Genetic Algorithms for Shop-scheduling Problems: Partial Enumeration and Stochastic Heuristics, PhD thesis, Kyoto Institute of Technology, Japan, 2000 (abstract).

  359. C. Brizuela, N. Sannomiya, and Y. Zhao. Multi-Objective Flow-Shop: Preliminary Results. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 443-457. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.

  360. 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 .

  361. 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.

  362. Dimo Brockhoff and Eckart Zitzler. Are All Objectives Necessary? On Dimensionality Reduction in Evolutionary Multiobjective Optimization, in Thomas Philip Runarsson, Hans-Georg Beyer, Edmund Burke, Juan J. Merelo-Guervós, L. Darrell Whitley and Xin Yao (editors), Parallel Problem Solving from Nature - PPSN IX, 9th International Conference, pp. 533--542, Springer. Lecture Notes in Computer Science Vol. 4193, Reykjavik, Iceland, September 2006 .

  363. Dimo Brockhoff, Tobias Friedrich, Nils Hebbinghaus, Christian Klein, Frank Neumann, and Eckart Zitzler. Do Additional Objectives Make a Problem Harder?, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 765--772, Vol. 1, ACM Press, London, UK, July 2007 .

  364. Dimo Brockhoff, Dhish Kumar Saxena, Kalyanmoy Deb and Eckart Zitzler. On Handling a Large Number of Objectives A Posteriori and During Optimization , in Joshua Knowles, David Corne and Kalyanmoy Deb (Editors), Multi-Objective Problem Solving from Nature: From Concepts to Applications, pp. 377--403, Springer, Berlin, 2008, ISBN 978-3-540-72963-1 .

  365. Rob A. C.M. Broekmeulen. Facility Management of Distribution Centers for Vegetables and Fruits. In J. Biethahn and Volker Nissen (editors), Evolutionary Algorithms in Management Applications, Springer-Verlag, Berlin, pp. 199-210, 1995.

  366. 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.

  367. 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 .

  368. M. Brown and R. E. Smith. Directed Multi-Objective Optimisation, International Journal of Computers, Systems and Signals, Vol. 6, No. 1, pp. 3--17, 2005.

  369. Martin Brown and Nicky Hutauruk. On the Convergence of Multi-Objective Descent Algorithms, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 253--260, IEEE Press, Honolulu, Hawaii, USA, April 2007 .

  370. Martin Brown and Nicky Hutauruk. Multi-objective optimisation for process design and control, Measurement & Control, Vol. 40, No. 6, pp. 182--187, July 2007.

  371. 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 .

  372. 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.

  373. 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 .

  374. 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.

  375. 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.

  376. 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.

  377. 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.

  378. 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.

  379. Dirk Büche, Peter Stoll, Rolf Dornberger and Petros Koumoutsakos, Multiobjective Evolutionary Algorithm for the Optimization of Noisy Combustion Processes, IEEE Transactions on Systems, Man, and Cybernetics Part C---Applications and Reviews, Vol. 32, No. 4, pp. 460--473, November 2002.

  380. 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 .

  381. Dirk Büche. Multi-Objective Evolutionary Optimization of Gas Turbine Components, PhD thesis, Swiss Federal Institute of Technology. Zürich, Switzerland, 2003 (abstract).

  382. 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 .

  383. 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 .

  384. 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.

  385. Lam T. Bui, Kalyanmoy Deb, Hussein A. Abbass and Daryl Essam. Dual Guidance in Evolutionary Multi-objective Optimization by Localization, 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. 384--391, Springer, Lecture Notes in Computer Science Vol. 4247, Hefei, China, October, 2006.

  386. Lam T. Bui, Minh-Ha Nguyen, Jürgen Branke and Hussein A. Abbass. Tackling Dynamic Problems with Multiobjective Evolutionary Algorithms, in Joshua Knowles, David Corne and Kalyanmoy Deb (Editors), Multi-Objective Problem Solving from Nature: From Concepts to Applications, pp. 77--91, Springer, Berlin, 2008, ISBN 978-3-540-72963-1 .

  387. 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.

  388. 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 .

  389. 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

  390. 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.

  391. 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.

  392. 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.

  393. Edmund K. Burke, J. Dario Landa Silva and Eric Soubeiga. Multi-objective Hyper-heuristic Approaches for Space Allocation and Timetabling, in Toshihide Ibaraki, Koji Nonobe and Matsunori Yagiura (editors), Meta-heuristics: Progress as Real Problem Solvers, Selected Papers from the 5th Metaheuristics International Conference (MIC 2003), pp. 129--158, Springer, 2005.

  394. E.K. Burke and J.D. Landa Silva. The influence of the fitness evaluation method on the performance of multiobjective search algorithms, European Journal of Operational Research, Vol. 169, No. 3, pp. 875--897, March 16, 2006 .

  395. Donald H. Burn and Jeanne S. Yullanti. Waste-Load Allocation using Genetic Algorithms, Journal of Water Resources Planning and Management, Vol. 127, No. 2, pp. 121--129, March-April 2001.

  396. P.G. Busacca, M. Marseguerra and E. Zio. Multiobjective optimization by genetic algorithms: application to safety systems, Reliability Engineering & System Safety, Vol. 72, No. 1, pp. 59--74, April 2001.

  397. 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.

  398. Yuri Bykov. Time-Predefined and Trajectory-Based Search: Single and Multiobjective Approaches to Exam Timetabling, PhD thesis, University of Nottingham, UK, November 2003 (abstract).

    399. C

  399. 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.

  400. 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.

  401. Zixing Cai and Yong Wang. A Multiobjective Optimization-Based Evolutionary Algorithm for Constrained Optimization, IEEE Transactions on Evolutionary Computation, Vol. 10, No. 6, pp. 658--675, December 2006 .

  402. Zhihua Cai, Wenyin Gong and Yongqin Huang. Novel Differential Evolution Algorithm Based on epsilon-Domination and Orthogonal Design Method for 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. 286--301, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  403. 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 .

  404. Michael Calonder, Stefan Bleuler and Eckart Zitzler. Module Identification from Heterogeneous Biological Data Using Multiobjective Evolutionary Algorithms, in Thomas Philip Runarsson, Hans-Georg Beyer, Edmund Burke, Juan J. Merelo-Guervós, L. Darrell Whitley and Xin Yao (editors), Parallel Problem Solving from Nature - PPSN IX, 9th International Conference, pp. 573--582, Springer. Lecture Notes in Computer Science Vol. 4193, Reykjavik, Iceland, September 2006 .

  405. 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.

  406. 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 .

  407. 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.

  408. Waldo Gonzalo Cancino Ticona. Aplicaçäo de Algoritmos Genéticos Multi-Objetivo para Alinhamento de Seqüências Biológicas, MS Thesis, ICMC-USP, Säo Carlos, Brazil, February 2003 (in Portuguese) .

  409. 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 .

  410. José Ramón Cano de Amo. Reducción de datos basada en Selección Evolutiva de Instancias para Minería de Datos, PhD thesis, Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad de Granada, Spain, July 2004.

  411. A. Canova, F. Freschi, M. Repetto and V. Vusini. Eddy Current Coupler Optimization, in Second International Conference on Power Electronics, Machines and Drives (PEMD 2004), Vol. 1, pp. 436--441, IEEE Press, Edinburgh, Scotland, 31 March--2 April, 2004.

  412. Aldo Canova, Fabio Freschi and Michele Tartaglia. Multiobjective Optimization of Parallel Cable Layout, IEEE Transactions on Magnetics, Vol. 43, No. 10, pp. 3914--3920, October 2007.

  413. Genci Capi. Multiobjective evolution of neural controllers and task complexity, IEEE Transactions on Robotics, Vol. 23, No. 6, pp. 1225--1234, 2007.

  414. E.G. Carrano, L.A.E. Soares, R.H.C. Takahashi, R.R. Saldanha, and O.M. Neto. Electric distribution network multiobjective design using a problem-specific genetic algorithm, in IEEE Transactions on Power Delivery, 21(2):995-1005, April 2006.

  415. 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 .

  416. Alain Cardon and Jean-Philippe Vacher. Rapport Technique pour Ouverture de Compte au Crihan sur Machine Parallèle Illiac8. Technical report, Crihan, 1998. http://www.crihan.fr (In French).

  417. Alain Cardon and Jean-Philippe Vacher. Algorithmes Génétiques dans un Système Multi-Agents pour l'Ordonnancement. Technical report, Crihan, 1998. (In French).

  418. 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.

  419. 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.

  420. 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.

  421. Alain Cardon, Thierry Galinho, and Jean-Philippe Vacher. Genetic Algorithms using Multi-Objectives in a Multi-Agent System, Robotics and Autonomous Systems, 33(2-3):179-190, November 2000.

  422. 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.

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

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

  425. Pedro Jorge Sequeira Cardoso. Ant Colony Algorithms for Multiple Objective Combinatorial Optimization. Applications to the Minimum Spanning Trees Problems, PhD thesis, Department of Applied Mathematics, University of Seville, Spain, December 2006 (abstract).

  426. W. Matthew Carlyle, Bosun Kim, John W. Fowler, and Esma S. Gel. Comparison of Multiple Objective Genetic Algorithms for Parallel Machine Scheduling Problems. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 472-485. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 .

  427. W. Matthew Carlyle, John W. Fowler, Esma S. Gel and Bosun Kim. Quantitative Comparison of Approximate Solution Sets for Bi-criteria Optimization Problems, Decision Sciences, Vol. 34, No. 1, pp. 63--82, February 2003 .

  428. Grégoire Carpentier, Damien Tardieu, Gérard Assayag, Xavier Rodet and Emmanuel Saint-James. An Evolutionary Approach to Computer-Aided Orchestration, in Mario Giacobini et al. (Editors), Applications of Evolutionary Computing. EvoWorkshops 2007: EvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG, pp. 488--497, Springer. Lecture Notes in Computer Science Vol. 4448, Valencia, Spain, April 2007.

  429. Eduardo G. Carrano, Ricardo H.C. Takahashi, Carlos M. Fonseca and Oriane M. Neto. Bi-objective Combined Facility Location and Network Design, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 486--500, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  430. Mark T. B. Carroll, John R. Josephson and James L. Russell. Tradeoffs on the Efficient Frontier of Network Disruption Attacks, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 160--165, IEEE Press, Honolulu, Hawaii, USA, April 2007 .

  431. O. Castillo and L. Trujillo. Multiple Objective Optimization Genetic Algorithms for Path Planning in Autonomous Mobile Robots, International Journal of Computers, Systems and Signals, Vol. 6, No. 1, pp. 48--63, 2005.

  432. P.A. Castillo, M.G. Arenas, J.J. Merelo, V.M. Rivas and G. Romero. Multiobjective Optimization of Ensembles of Multilayer Perceptrons for Pattern Classification, in Thomas Philip Runarsson, Hans-Georg Beyer, Edmund Burke, Juan J. Merelo-Guervós, L. Darrell Whitley and Xin Yao (editors), Parallel Problem Solving from Nature - PPSN IX, 9th International Conference, pp. 453--462, Springer. Lecture Notes in Computer Science Vol. 4193, Reykjavik, Iceland, September 2006 .

  433. 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 .

  434. Oscar Castillo, Leonardo Trujillo and Patricia Melin. Multiple objective genetic algorithms for path-planning optimization in autonomous mobile robots, Soft Computing, Vol. 11, No. 3, pp. 269--279, February 2007 .

  435. Ma. Guadalupe Castillo Tapia and Carlos A. Coello Coello. Applications of Multi-Objective Evolutionary Algorithms in Economics and Finance: A Survey, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 532--539, IEEE Press, Singapore, September 2007 .

  436. Rodrigo Evangelista de Castro. Otimização de Estruturas Com Multi-Objetivos via Algoritmos Genéticos, PhD thesis, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil, August 2001 (In Portuguese).

  437. 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.

  438. 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 .

  439. 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 .

  440. Vincenzo Cavaliere, Marco Cioffi, Alessandro Formisano and Raffaele Martone. Pareto swarm optimisation of high temperature superconducting generators, International Journal of Applied Electromagnetics and Mechanics, Vol. 25, Nos. 1--4, pp. 273--279, 2007 .

  441. Sergio Cavalieri and Paolo Gaiardelli. Hybrid genetic algorithms for a multiple-objective scheduling problem, Journal of Intelligent Manufacturing, Vol. 9, pp. 361--367, 1998 .

  442. 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 .

  443. 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.

  444. R. Cela, J.A. Martinez, C. Gonzalez-Barreiro and M. Lores, Multi-objective optimisation using evolutionary algorithms: its application to HPLC separations, Chemometrics and Intelligent Laboratory Systems, Vol. 69, Nos. 1-2, pp. 137--156, November 28, 2003 .

  445. G. Celano, S. Fichera, V. Grasso, U. La Commare and G. Perrone. An evolutionary approach to multi-objective scheduling of mixed model assembly lines, Computers and Industrial Engineering, Vol. 37, Nos. 1--2, pp. 69--73, 1999.

  446. G. Celli, E. Ghiani, S. Mocci and F. Pilo. A multiobjective evolutionary algorithm for the sizing and siting of distributed generation, IEEE Transactions on Power Systems, Vol. 20, No. 2, pp. 750--757, May 2005 .

  447. Selin Cerav-Erbas. Traffic Engineering in MPLS Networks with Multiple Objectives: Modeling and Optimization, PhD thesis, RWTH Aachen, Germany, 2004 (abstract).

  448. 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.

  449. 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 .

  450. Onur L. Cetin. Decomposition-Based Assembly Synthesis of Family of Structures, PhD Thesis, Department of Mechanical Engineering, The University of Michigan, Ann Arbor, Michigan, December 2003 (abstract) .

  451. Han Gil Chae. A Possibilistic Approach to Rotorcraft Design through a Multi-Objective Evolutionary Algorithm, PhD thesis, School of Aerospace Engineering, Georgia Institute of Technology, USA, December 2006 (abstract).

  452. 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 .

  453. N. Chakraborti, R. Kumar and D. Jain. A study of the continuous casting mold using a Pareto-converging genetic algorithm, Applied Mathematical Modelling, Vol. 25, pp. 287--297, 2001 .

  454. N. Chakraborti, P. Mishra, A. Aggarwal, A. Banerjee and S.S. Mukherjee. The Williams and Otto Chemical Plant re-evaluated using a Pareto-optimal formulation aided by Genetic Algorithms, Applied Soft Computing, Vol. 6, pp. 189--197, 2006 .

  455. 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.

  456. 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.

  457. Martin K. Chan. Supersonic Aircraft Optimization for Minimizing Drag and Sonic Boom, PhD thesis, Department of Aeronautics and Astronautics, Stanford University, August 2003 (abstract).

  458. T.M. Chan, K.F. Man, K.S. Tang and S. Kwong. A jumping gene algorithm for multiobjective resource management in wideband CDMA systems, Computer Journal, Vol. 48, No. 6, pp. 749--768, November 2005.

  459. T.M. Chan, K.F. Man, K.S. Tang and S. Kwong. A jumping-genes paradigm for optimizing factory WLAN network, IEEE Transactions on Industrial Informatics, Vol. 3, No. 1, pp. 33--43, February 2007 .

  460. T.M. Chan, K.F. Man, S. Kwong and K.S. Tang. A Jumping Gene Paradigm for Evolutionary Multiobjective Optimization, IEEE Transactions on Evolutionary Computation, Vol. 12, No. 2, pp. 143--159, April 2008 .

  461. Arjun Chandra, Huanhuan Chen and Xin Yao. Trade-Off Between Diversity and Accuracy in Ensemble Generation, in Yaochu Jin (Editor), Multi-Objective Machine Learning, pp. 429--464, Springer. Studies in Computational Intelligence, Volume 16, Berlin, 2006.

  462. B. Chandrasekaran and Mark Goldman. Exploring Robustness of Plants for Simulation-Based Course of Action Planning: A Framework and an Example, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 185--192, IEEE Press, Honolulu, Hawaii, USA, April 2007 .

  463. 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.

  464. 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.

  465. T. J. Chang, N. Meade, and J. E. Beasley. Heuristics for Cardinality Constrained Portfolio Optimization, Technical report, The Management School, Imperial College, London SW7 2AZ, England, May 1998.

  466. C. S. Chang, W. Wang, A. C. Liew, and F. S. Wen. Bicriterion optimisation for traction substations in mass rapid transit systems using genetic algorithm, IEE Proceedings B, Electric Power Applications, 145(1):49-56, January 1998.

  467. C.S. Chang and L.F. Tian. Worst-case identification of touch voltage and stray current of DC railway system using genetic algorithm, IEE Proceedings of Electric Power Applications, Vol. 146, No. 5, pp. 570--576, September 1999.

  468. C.S. Chang, D.Y. Xu and H.B. Quek. Pareto-optimal set based multiobjective tuning of fuzzy automatic train operation for mass transit system, IEE Proceedings on Electric Power Applications, Vol. 146, No. 5, pp. 577--583, September 1999.

  469. C.S. Chang and D.Y. Xu. Differential Evolution Based Tuning of Fuzzy Automatic Train Operation for Mass Rapid Transit System, IEE Proceedings of Electric Power Applications, Vol. 147, No. 3, pp. 206--212, May 2000.

  470. T. J. Chang, N. Meade and J. E. Beasley. Heuristics for Cardinality Constrained Portfolio Optimization, Computers and Operations Research, Vol. 27, No. 13, pp. 1271--1302, 2000.

  471. 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.

  472. 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 .

  473. P.C. Chang, S.H. Chen and K.L. Lin. Two-phase sub population genetic algorithm for parallel machine-scheduling problem, Expert Systems with Applications, Vol. 29, No. 3, pp. 705--712, October 2005 .

  474. 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.

  475. Pei-Chann Chang, Shih-Hsin Chen and Chen-Hao Liu. Sub-population genetic algorithm with mining gene structures for multiobjective flowshop scheduling problems, Expert Systems with Applications, Vol. 33, No. 3, pp. 762--771, October 2007 .

  476. A. Chattopadhyay and C.E. Seeley. A simulated annealing technique for multiobjective optimization of intelligent structures, Smart Materials and Structures, Vol. 3, No. 2, pp. 98--106, June 1994.

  477. Yan Chen, Masakuni Narita, Masashi Tsuji, and Sangduk Sa. A Genetic Algorithm Approach to Optimization for the Radiological Worker Allocation Problem. Health Physics, 70(2):180-186, February 1996.

  478. Kay Chen Tan and Yun Li. Multi-Objective Genetic Algorithm Based Time and Frequency Domain Design Unification of Linear Control Systems, Technical Report CSC-97007, Department of Electronics and Electrical Engineering, University of Glasglow, Glasglow, Scotland, 1997.

  479. 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.

  480. H. W. Chen and Ni-Bin Chang. Water pollution control in the river basin by fuzzy genetic algorithm-based multiobjective programming modeling. Water Science and Technology, 37(8):55-63, 1998.

  481. Yun-Wen Chen and Gwo-Hshiung Tzeng. A Fuzzy Multi-objective Model for Reconstructing the Post-quake Road-network by Genetic Algorithm, International Journal of Fuzzy Systems, Vol. 1, No. 2, pp. 85--95, December 1999.

  482. Xianming Chen. Pareto Tree Searching Genetic Algorithm: Approaching Pareto Optimal Front by Searching Pareto Optimal Tree. Technical Report NK-CS-2001-002, Department of Computer Science, Nankai University, Tianjin, China, 2001

  483. 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.

  484. 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.

  485. 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 .

  486. Jian-Hung Chen. Theory and Applications of Efficient Multi-Objective Evolutionary Algorithms, PhD thesis, College of Information and Electrical Engineering of the Feng Chia University, Taichung, Taiwan, R.O.C., 2004 (abstract).

  487. 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.

  488. Qian Chen and Sheng-Uei Guan. Incremental Multiple Objective Genetic Algorithms, IEEE Transactions on Systems, Man, and Cybernetics---Part B: Cybernetics, Vol. 34, No. 3, pp. 1325--1334, June 2004.

  489. J.H. Chen, H.M. Chen and S.Y. Ho. Design of nearest neighbor classifiers: multi-objective approach, International Journal of Approximate Reasoning, Vol. 40, Nos. 1--2, pp. 3--22, July 2005.

  490. 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.

  491. 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.

  492. D. Chen, J.A. Quirein, H.D. Smith, S. Hamid and J. Grable. Neural network ensemble selection using a multi-objective genetic algorithm in processing pulsed neutron data, Petrophysics, Vol. 46, No. 5, pp. 323--334, October 2005.

  493. H.W. Chen and N.B. Chang. Decision support for allocation of watershed pollution load using grey fuzzy multiobjective programming, Journal of the American Water Resources Association, Vol. 42, No. 3, pp. 725--745, June 2006 .

  494. 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.

  495. 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 .

  496. Jian-Hung Chen. Simultaneous Optimization of Production Planning and Inspection Planning for Flexible Manufacturing Systems, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 1928--1935, Vol. 2, ACM Press, London, UK, July 2007 .

  497. Yi Chen and Matthew P. Cartmell. Multi-Objective Optimisation on Motorised Momentum Exchange Tether for Playload Orbital Transfer, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 987--993, IEEE Press, Singapore, September 2007.

  498. Min-Rong Chen, Yong-zai Lu and Gen-ke Yang. Multiobjective extremal optimization with applications to engineering design, Journal of Zhejiang University SCIENCE A, Vol. 8, No. 12, pp. 1905--1911, November 2007.

  499. Franklin Y. Cheng and Dan Li. Multiobjective Optimization Design with Pareto Genetic Algorithm. .Journal of Structural Engineering, 123(9):1252-1261, September 1997.

  500. F.Y. Cheng and D. Li. Genetic algorithm development for multiobjective optimization of structures, AIAA Journal, Vol. 36, No. 6, pp. 1105--1112, 1998.

  501. 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.

  502. 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 .

  503. C. Y. Cheong, C. J. Lin, K. C. Tan and D. K. Liu. A Multi-Objective Evolutionary Algorithm for Berth Allocation in a Container Port, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 927--934, IEEE Press, Singapore, September 2007.

  504. Kishan Chetan Srigiriraju. Noninferior Surface Tracing Evolutionary Algorithm (NSTEA) for Multi Objective Optimization), MS Thesis, North Carolina State University, Raleight, North Carolina, August 2000

  505. 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 .

  506. 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 .

  507. 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 .

  508. Swee Chiang Chiam, Kay Chen Tan and Abdullah Al Mamun. Molecular Dynamics Optimizer, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 302--316, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  509. Swee Chiang Chiam, Kay Chen Tan and Abdullah Al Mamun. Multiobjective Evolutionary Neural Networks for Time Series Forecasting, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 346--360, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  510. S. C. Chiam, A. Al Mamun and Y. L. Low. A Realistic Approach to Evolutionary Multiobjective Portfolio Optimization, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 204--211, IEEE Press, Singapore, September 2007.

  511. 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 .

  512. 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.

  513. 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.

  514. 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.

  515. A. J. Chipperfield and P. J. Fleming. Multiobjective Gas Turbine Engine Controller Design Using Genetic Algorithms, IEEE Transactions on Industrial Electronics, 43(5), October 1996.

  516. 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.

  517. 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.

  518. A.J. Chipperfield, J.F. Whidborne, and P.J. Fleming. Evolutionary Algorithms and Simulated Annealing for MCDM. In T. Gal, T.J. Stewart, and T. Hanne, editors, Multicriteria Decicion Making--Advances in MCDM Models, Algorithms, Theory, and Applications, pages 16.1-16.32. Kluwer Academic Publishing, Boston, Massachusetts, 1999.

  519. Andrew J. Chipperfield, Beatrice Bica and Peter J. Fleming. Fuzzy Scheduling Control of a Gas Turbine Aero-Engine: A Multiobjective Approach, IEEE Transactions on Industrial Electronics, Vol. 49, No. 3, pp. 536--548, June 2002.

  520. 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.

  521. Dong-Hyeok Cho, Hyun-Kyo Jung and Dong-Joon Sim. Multiobjective Optimal Design of Interior Permanent Magnet Synchronous Motors Considering Improved Core Loss Formula, IEEE Transactions on Energy Conversion, Vol. 14, No. 4, pp. 1347--1352, December 1999.

  522. 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.

  523. Hosung Choo, Hao Ling and Charles S. Liang. Shape Optimization of Corrugated Coatings Under Grazing Incidence Using a Genetic Algorithm, IEEE Transactions on Antennas and Propagation, Vol. 51, No. 11, pp. 3080--3087, November 2003.

  524. Hosung Choo. Application of Genetic Algorithms to the Design of Microstrip Antennas, Wire Antennas and Microwave Absorbers, PhD thesis, The University of Texas at Austin, Austin, Texas, USA, May 2003 (abstract).

  525. Chwee Seng Choo, Ching Lian Chua and Su-Han Victor Tay. Automated Red Teaming: A Proposed Framework for Military Application, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 1936--1942, Vol. 2, ACM Press, London, UK, July 2007 .

  526. Ta-Yuan Chou, Tung-Kuan Liu, Chung-Nan Lee and Chi-Ruey Jeng. Method of inequality-based multiobjective genetic algorithm for domestic daily aircraft routing, IEEE Transactions on Systems, Man, and Cybernetics Part A--Systems and Humans, Vol. 38, No. 2, pp. 299--308, March 2008 .

  527. 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.

  528. 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.

  529. Chung-Huei Chueh. An Immune Algorithm for Engineering Optimization, PhD thesis, Department of Mechanical Engineering, Tatung University, Taipei, Taiwan, July 2004 (abstract).

  530. 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 .

  531. 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.

  532. Hyoung Seog Chung. Multidisciplinary Design Optimization of Supersonic Business Jets using Approximation Model-Based Genetic Algorithms, PhD thesis, Department of Aeronautics and Astronautics, Stanford University, California, USA, March 2004 (abstract).

  533. Scott E. Cieniawski, J. W. Eheart, and S. Ranjithan. Using Genetic Algorithms to Solve a Multiobjective Groundwater Monitoring Problem. Water Resources Research, 31(2):399-409, February 1995.

  534. Marco Cioffi. Model and Methods for the Optimal Design of Superconducting Power Devices, PhD Thesis, Department of Information Engineering, Second University of Napoli, Italy, 2002 (abstract).

  535. Antonio Della Cioppa, Claudio De Stefano and Angelo Marcelli. Where are the Niches? Dynamic Fitness Sharing, IEEE Transactions on Evolutionary Computation, Vol. 11, No. 4, pp. 453--465, August 2007 .

  536. 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.

  537. Mattia Ciprian, Valentino Pediroda and Carlo Poloni. Multi Criteria Decision Aiding Techniques to Select Designs After Robust Design Optimization, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 619--632, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  538. Alberto Clarich, Valentino Pediroda, Carlo Poloni and Jacques Périaux. A Fast and Robust Adaptive Methodology for Design Under Uncertainties Based on DACE Response Surface and Game Theory, in William Annicchiarico, Jacques Périaux, Miguel Cerrolaza and Gabriel Winter (editors), Evolutionary Algorithms and Intelligent Tools in Engineering Optimization, pp. 75--91, WIT Press, CIMNE Barcelona, Southampton, Boston, 2005, ISBN 1-84564-038-1 .

  539. T. Clarke and R. Davies. Robust eigenstructure assignment using the genetic algorithm and constrained state feedback. Journal of Systems and Control Engineering, 211(1):53-61, February 1997.

  540. Daniela Barreiro Claro. SPOC - Un Canevas Pour la Composition Automatique de Services Web Dédiés à la Réalisation de Devis, PhD thesis, Laboratoire d'Étude et de Recherche en Informatique d'Angers, Université d'Angers, France, October 2006.

  541. John Morris Clayton. Incorporation of Environmental, Economic and Product Quality Criteria in Multiobjective Engineering Design of Cl2/ClO2 Softwood Kraft Bleaching Processes, PhD thesis, Georgia Institute of Technology, April 2003 (abstract) .

  542. 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.

  543. 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.

  544. 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.

  545. 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 .

  546. Jeffery K. Cochran, Shwu-Min Horng, and John W. Fowler. A Multi-Population Genetic Algorithm to Solve Multi-Objective Scheduling Problems for Parallel Machines, Computers and Operations Research, Vol. 30, No. 7, pp. 1087--1102, 2003.

  547. 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.

  548. 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.

  549. 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 .

  550. Rajan Filomeno Coelho, Hugues Bersini and Philippe Bouillard. Parametrical Mechanical Design with Constraints and Preferences: Application to a Purge Valve, Computer Methods in Applied Mechanics and Engineering, Vol. 192, Nos. 39-40, pp. 4355--4378, September 2003 .

  551. Rajan Filomeno Coelho. Multicriteria Optimization with Expert Rules for Mechanical Design, PhD thesis, Faculté des Sciences Appliquées, Université Libre de Bruxelles, Belgium, 2004.

  552. R.F. Coelho and P. Bouillard. A multicriteria evolutionary algorithm for mechanical design optimization with expert rules, International Journal for Numerical Methods in Engineering, Vol. 62, No. 4, pp. 516--536, January 28, 2005 .

  553. 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.

  554. 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.

  555. R. Filomeno Coelho, PH. Bouillard and H. Bersini. PAMUC: A New Method to Handle Constraints and Multiobjectivity in Evolutionary Algorithms, in Tadeusz Burczyński and Andrzej Osyczka (editors), IUTAM Symposium on Evolutionary Methods in Mechanics, pp. 91--100, Kluwer Academic Publishers, Dordrecht/Boston/London, 2004, ISBN 1-4020-2266-2.

  556. 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.

  557. 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.

  558. 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.

  559. Carlos Artemio Coello Coello. An Empirical Study of Evolutionary Techniques for Multiobjective Optimization in Engineering Design. PhD thesis, Department of Computer Science, Tulane University, New Orleans, Louisiana, April 1996 (abstract).

  560. Carlos A. Coello Coello, Alan D. Christiansen, and Arturo Hernández Aguirre. Using a New GA-Based Multiobjective Optimization Technique for the Design of Robot Arms, Robotica, 16(4):401-414, July-August 1998.

  561. Carlos A. Coello Coello and Alan D. Christiansen. Two New GA-based methods for multiobjective optimization Civil Engineering Systems, 15(3):207-243, 1998.

  562. Carlos A. Coello Coello. An Updated Survey of GA-Based Multiobjective Optimization Techniques, Technical Report Lania-RD-98-08, Laboratorio Nacional de Informática Avanzada (LANIA), Xalapa, Veracruz, México, December 1998.

  563. 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.

  564. Carlos A. Coello Coello. A Comprehensive Survey of Evolutionary-Based Multiobjective Optimization Techniques, Knowledge and Information Systems. An International Journal, 1(3):269-308, August 1999.

  565. Carlos A. Coello Coello and Alan D. Christiansen. MOSES: A Multiobjective Optimization Tool for Engineering Design, Engineering Optimization, 31(3):337-368, 1999.

  566. 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.

  567. 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.

  568. Carlos A. Coello Coello. Treating Constraints as Objectives for Single-Objective Evolutionary Optimization, Engineering Optimization, 32(3):275-308, 2000.

  569. Carlos A. Coello Coello and Alan D. Christiansen. Multiobjective optimization of trusses using genetic algorithms, Computers and Structures, 75(6):647-660, May 2000.

  570. 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.

  571. Carlos A. Coello Coello. Constraint-handling using an evolutionary multiobjective optimization technique,Civil Engineering and Environmental Systems, 17:319-346, 2000.

  572. 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.

  573. Carlos A. Coello Coello. An Updated Survey of GA-Based Multiobjective Optimization Techniques. ACM Computing Surveys, 32(2):109-143, June 2000.

  574. Carlos A. Coello Coello and Gregorio Toscano. A Micro-Genetic Algorithm for Multiobjective Optimization. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 126-140. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.

  575. Carlos A. Coello Coello. A Short Tutorial on Evolutionary Multiobjective Optimization. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 21-40. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001

  576. 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 .

  577. Carlos A. Coello Coello, David A. Van Veldhuizen and Gary B. Lamont, Evolutionary Algorithms for Solving Multi-Objective Problems, Kluwer Academic Publishers, New York, March 2002, ISBN 0-3064-6762-3.

  578. Carlos A. Coello Coello. Evolutionary Multi-Objective Optimization: A Critical Review, in Ruhul Sarker, Masoud Mohammadian and Xin Yao (eds), Evolutionary Optimization, pp. 117--146, Kluwer Academic Publishers, New York, February 2002, ISBN 0-7923-7654-4.

  579. 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.

  580. Carlos A. Coello Coello and Carlos E. Mariano Romero. Evolutionary Algorithms and Multiple Objective Optimization, in Matthias Ehrgott and Xavier Gandibleux (editors), Multiple Criteria Optimization: State of the Art Annotated Bibliographic Surveys, pp. 277--331, Kluwer Academic Publishers, Boston, 2002.

  581. 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.

  582. Carlos A. Coello Coello and Arturo Hernández Aguirre. Design of Combinational Logic Circuits through an Evolutionary Multiobjective Optimization Approach, Artificial Intelligence for Engineering, Design, Analysis and Manufacture, Cambridge University Press, Vol. 16, No. 1, pp. 39--53, January 2002.

  583. 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 .

  584. 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 .

  585. 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 .

  586. 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 .

  587. Carlos A. Coello Coello, Gregorio Toscano Pulido and Maximino Salazar Lechuga. Handling Multiple Objectives With Particle Swarm Optimization, IEEE Transactions on Evolutionary Computation, Vol. 8, No. 3, pp. 256--279, June 2004.

  588. 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.

  589. Carlos A. Coello Coello and Gary B. Lamont. Applications of Multi-Objective Evolutionary Algorithms, World Scientific, Singapore, 2004, ISBN 981-256-106-4.

  590. Carlos A. Coello Coello and Gary B. Lamont. An Introduction to Multi-Objective Evolutionary Algorithms and Their Applications, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 1--28, World Scientific, Singapore, 2004.

  591. Carlos A. Coello Coello. Recent Trends in Evolutionary Multiobjective Optimization, in Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors), Evolutionary Multiobjective Optimization: Theoretical Advances And Applications, pp. 7--32, Springer-Verlag, London, ISBN 1-85233-787-7, 2005 .

  592. Carlos A. Coello Coello, Gregorio Toscano Pulido and Efrén Mezura Montes. Current and Future Research Trends in Evolutionary Multiobjective Optimization, in Manuel Graña, Richard Duro, Alicia d'Anjou and Paul P. Wang (editors), Information Processing with Evolutionary Algorithms: From Industrial Applications to Academic Speculations, pp. 213--231, Springer-Verlag, ISBN 1-8523-3866-0, 2005 .

  593. Carlos A. Coello Coello and Nareli Cruz Cortés. Solving Multiobjective Optimization Problems using an Artificial Immune System, Genetic Programming and Evolvable Machines, Vol. 6, No. 2, pp. 163--190, June 2005 .

  594. Carlos A. Coello Coello and Gregorio Toscano Pulido. Multiobjective Structural Optimization using a Micro-Genetic Algorithm, Structural and Multidisciplinary Optimization, Vol. 30, No. 5, pp. 388--403, November 2005.

  595. Carlos A. Coello Coello. The EMOO repository: a resource for doing research in evolutionary multiobjective optimization, IEEE Computational Intelligence Magazine, Vol. 1, No. 1, pp. 37--45, February 2006 .

  596. Carlos A. Coello Coello. Evolutionary Multiobjective Optimization: A Historical View of the Field, IEEE Computational Intelligence Magazine, Vol. 1, No. 1, pp. 28--36, February 2006 .

  597. Carlos A. Coello Coello, 20 Years of Evolutionary Multi-Objective Optimization: What Has Been Done and What Remains to be Done, in Gary Y. Yen and David B. Fogel (editors), Computational Intelligence: Principles and Practice, Chapter 4, pp. 73--88, IEEE Computational Intelligence Society, 2006 .

  598. Carlos A. Coello Coello, Evolutionary Multi-Objective Optimization in Finance, in Jean-Philippe Rennard (editor), Handbook of Research on Nature Inspired Computing for Economy and Management, pp. 74--88, Vol. I, Idea Group Reference, Hershey, UK, 2006, ISBN 1-59140-984-5.

  599. Carlos A. Coello Coello, Gary B. Lamont and David A. Van Veldhuizen. Evolutionary Algorithms for Solving Multi-Objective Problems, Second Edition, Springer, New York, ISBN 978-0-387-33254-3, September 2007 .

  600. 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.

  601. 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.

  602. Y. Collette, P. Siarry and H.-I. Wong. A Systematic Comparison of Performance of Various Multiple Objective Metaheuristics Using a Common Set of Analytical Test Functions, Foundations of Computing and Decision Sciences, Vol. 25, No. 4, pp. 249--271, 2000.

  603. Yann Collette and Patrick Siarry. Multiobjective Optimization. Principles and Case Studies, Springer, August 2003 .

  604. 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.

  605. Robert Cook, Arturo Molina-Cristobal, Geoff Parks, Cuitlahuac Osornio Correa and P. John Clarkson. Multi-objective Optimisation of a Hybrid Electric Vehicle: Drive Train and Driving Strategy, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 330--345, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  606. Angel Corberán, Elena Fernández, Manuel Laguna and Rafael Martí. Heuristic Solutions to the Problem of Routing School Buses with Multiple Objectives, Journal of the Operational Research Society, Vol. 53, No. 4, pp. 427--435, 2002.

  607. 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.

  608. 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.

  609. O. Cordon, E. Herrera-Viedma and M. Luque. Improving the learning of Boolean queries by means of a multiobjective IQBE evolutionary algorithm, Information Processing & Management, Vol. 42, No. 3, pp. 615--632, May 2006 .

  610. 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

  611. 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 .

  612. David W. Corne, Kalyanmoy Deb, Peter J. Fleming and Joshua D. Knowles. The Good of the Many Outweights the Good of the One: Evolutionary Multi-Objective Optimization, Connections. The Newsletter of the IEEE Neural Networks Society, Vol. 1, No. 1, pp. 9--13, February 2003 .

  613. 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 .

  614. 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 .

  615. David Corne and Joshua Knowles. Techniques for Highly Multiobjective Optimisation: Some Nondominated Points are Better than Others, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 773--780, Vol. 1, ACM Press, London, UK, July 2007 .

  616. 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 .

  617. 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.

  618. Lino Costa and Pedro Oliveira. Evolutionary Algorithms Approach to the Solution of Mixed Integer Non-Linear Programming Problems, Computers & Chemical Engineering, Vol. 25, pp. 257-266, 2001 .

  619. 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 .

  620. 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.

  621. 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 .

  622. Lino Costa and Pedro Oliveira. An Adaptive Sharing Elitist Evolution Strategy for Multiobjective Optimization, Evolutionary Computation, Vol. 11, No. 4, pp. 417--438, Winter 2003 .

  623. Lino António Antunes Fernandes da Costa. Algoritmos Evolucionários em Optimização Uni e Multi-objectivo, PhD thesis, Universidade do Minho, Portugal, March 2003 (In Portuguese) (abstract in English).

  624. 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.

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

  626. Pascal Côtë, Lael Parrott and Robert Sabourin. Multi-objective optimization of an ecological assembly model, Ecological Informatics, Vol. 2, No. 1, pp. 23--31, January 1, 2007 .

  627. José Covas, A. Gaspar Cunha and Pedro Oliveira. Optimisation of single screw extrusion. Theoretical and experimental results, International Journal of Forming Processes, Vol. 1, No. 3, pp. 323--343, September 1998.

  628. J.A. Covas, A.G. Cunha and P. Oliveira. An Optimization Approach to Practical Problems in Plasticating Single Screw Extrusion, Polymer Engineering and Science, Vol. 39, No. 3, pp. 443--456, March 1999.

  629. 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 .

  630. Jean-Charles Créput and Abderrafiaa Koukam. Local search study of honeycomb clustering problem for cellular planning, International Journal of Mobile Network Design and Innovation, Vol. 1, No. 2, pp. 153--160, 2006.

  631. Arturo Molina Cristóbal. Multiobjective Control: Linear Matrix Inequality Techniques and Genetic Algorithms Approach, PhD thesis, Department of Automatic Control and Systems Engineering. The University of Sheffield. Sheffield, UK, April 2005 (abstract)

  632. V. Coverstone-Caroll, J.W. Hartmann and W.M. Mason. Optimal Multi-Objective Low-Thrust Spacecraft Trajectories, Computer Methods in Applied Mechanics and Engineering, Vol. 186, pp. 387--402, 2000 .

  633. 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.

  634. 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.

  635. 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.

  636. 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.

  637. 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 .

  638. 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 .

  639. 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.

  640. 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

  641. 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.

  642. A.G. Cunha, J.A. Covas and P. Oliveira. Optimization of polymer extrusion with genetic algorithms, IMA Journal of Mathematics Applied in Business and Industry, Vol. 9, pp. 267--277, 1998.

  643. 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.

  644. A. Gaspar-Cunha, A. Poulesquen, B. Vergnes and J.A. Covas. Optimization of Processing Conditions for Polymer Twin-screw Extrusion, International Polymer Processing, Vol. 17, No. 3, pp. 201--213, 2002.

  645. 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 .

  646. 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.

  647. António Gaspar-Cunha and José A. Covas. The Use of Evolutionary Algorithms to Solve Practical Problems in Polymer Extrusion, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 177--199, World Scientific, Singapore, 2004.

  648. A. Gaspar-Cunha, J.A. Covas and B. Vergnes. Defining the configuration of co-rotating twin-screw extruders with multiobjective evolutionary algorithms, Polymer Engineering and Science, Vol. 45, No. 8, pp. 1159--1173, August 2005 .

  649. A. Gaspar-Cunha and J.C. Viana. Using multi-objective evolutionary algorithms to optimize mechanical properties of injection molded part, International Polymer Processing, Vol. 20, No. 3, pp. 274--285, September 2005 .

  650. A. Gaspar-Cunha and A. Vieira. A Multi-Objective Evolutionary Algorithm using Neural Networks to Approximate Fitness Evaluations, International Journal of Computers, Systems and Signals, Vol. 6, No. 1, pp. 18--36, 2005.

  651. Francesco Cupertino, Ernesto Mininno, David Naso, Biagio Turchiano and Luigi Salvatore. On-Line Genetic Design of Anti-Windup Unstructured Controllers for Electric Drives With Variable Load,IEEE Transactions on Evolutionary Computation, Vol. 8, No. 4, pp. 347--364, August 2004.

  652. Vincenzo Cutello, Giuseppe Narzisi and Giuseppe Nicosia. A Class of Pareto Archived Evolution Strategy Algorithms Using Immune Inspired Operators for Ab-Initio Protein Structure Prediction, in Franz Rothlauf et al. (editors), Applications of Evolutionary Computing. Evoworkshops 2005: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC, pp. 54--63, Springer. Lecture Notes in Computer Science Vol. 3449, Lausanne, Switzerland, March/April 2005 .

  653. Vincenzo Cutello, Giuseppe Narzisi and Giuseppe Nicosia. Computational Studies of Peptide and Protein Structure Prediction Problems via Multiobjective Evolutionary Algorithms, in Joshua Knowles, David Corne and Kalyanmoy Deb (Editors), Multi-Objective Problem Solving from Nature: From Concepts to Applications, pp. 93--114, Springer, Berlin, 2008, ISBN 978-3-540-72963-1 .

  654. 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.

  655. 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.

  656. 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.

  657. 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.

  658. Ian C. Parmee, Dragan Cvetkovic, Andrew H. Watson, and Christopher R. Bonham. Multi-objective Satisfaction within an Interactive Evolutionary Design Environment. Evolutionary Computation, 8(2):197-222, 2000.

  659. 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.

  660. Dragan Cvetkovic, Evolutionary Multi-Objective Decision Support Systems for Conceptual Design, PhD thesis, School of Computing, University of Plymouth, Plymouth, UK, November 2000 (abstract).

  661. Dragan Cvetkovic and Ian C. Parmee. Preferences and their Application in Evolutionary Multiobjective Optimisation. IEEE Transactions on Evolutionary Computation, Vol. 6, No. 1, pp. 42--57, February 2002.

  662. 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.

  663. Dragan Cvetkovic and Ian C. Parmee. Agent--based Support within an Interactive Evolutionary Design System, Artificial Intelligence for Engineering Design, Analysis and Manufacturing (AIEDAM), Vol. 16, No. 5, pp. 331-342, November 2002.

  664. Dragan Cvetkovic and Carlos A. Coello Coello. Human Preferences and Their Applications in Evolutionary Multi-Objective Optimization, in Yaochu Jin (editor), Knowledge Incorporation in Evolutionary Computation, Springer, pp. 479--502, Berlin Heidelberg, 2005, ISBN 3-540-22902-7 .

  665. P. Czyzak and A. Jaszkiewicz. A multiobjective metaheuristic approach to the localization of a chain of petrol stations by the capital budgeting model. Control and Cybernetics, 25(1):177-187, 1996.

  666. 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.

  667. 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.

  668. P. Czyzak and A. Jaszkiewicz. Pareto simulated annealing--a metaheuristic technique for multiple-objective combinatorial optimization,Journal of Multi-Criteria Decision Analysis, 7:34-47, 1998.

    669. D

  669. 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.

  670. 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.

  671. 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.

  672. 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.

  673. N. V. Dakev, J. F. Whidborne, A. J. Chipperfield, and P. J. Fleming. ${H}_infty$ design of an EMS control system for a maglev vehicle using evolutionary algorithms. Proceedings of IMechE-I Part I: Journal of Systems and Control Engineering, 311(4):345-355, 1997.

  674. Brian Marshall Dale. Optimal Design of MR Image Acquisition Techniques, PhD thesis, Department of Biomedical Engineering, Case Western Reserve University, USA, May 2004 (abstract).

  675. S. D'Angelo, M. Fantetti and E. Minisci. Hang-Glider Wing Design by Genetic Optimization, in Tadeusz Burczyński and Andrzej Osyczka (editors), IUTAM Symposium on Evolutionary Methods in Mechanics, pp. 47--58, Kluwer Academic Publishers, Dordrecht/Boston/London, 2004, ISBN 1-4020-2266-2.

  676. Salvatore D'Angelo, Edmondo Minisci and Marco Dutto. Evolutionary Optimization of a Robust Controller for Flight Maneuvers, in Bogdan Filipic and Jurij Silc (editors), Bioinspired Optimization Methods and Their Applications. Proceedings of the International Conference on Bioinspired Optimization Methods and their Applications, BIOMA 2004, pp. 137--146, Jožef Stefan Institute, Ljubljana, Slovenia, October 2004.

  677. 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.

  678. 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.

  679. D.B. Das and C. Patvardhan. New multi-objective stochastic search technique for economic load dispatch, IEE Proceedings on Generation, Transmission and Distribution, Vol. 145, No. 6, pp. 747--752, November 1998.

  680. Sanjoy Das, Balasubramaniam Natarajan, Daniel Stevens and Praveen Koduru. Multi-objective and constrained optimization for DS-CDMA code design based on the clonal selection principle, Applied Soft Computing, Vol. 8, No. 1, pp. 788--797, January 2008 .

  681. 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.

  682. 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.

  683. Dilip Datta and Kalyanmoy Deb. Design of optimum cross-sections for load carrying members using multi-objective evolutionary algorithms, Journal of Systemics, Cybernetics and Informatics, Vol. 1, pp. 57--63, January 2006.

  684. Dilip Datta. Multi-Objective Evolutionary Algorithms for Resource Allocation Problems, PhD thesis, Department of Mechanical Engineering, Indian Institute of Technology Kanpur, India, July 2006 (abstract).

  685. Shubhabrata Datta, Frank Pettersson, Subhas Ganguly, Henrik Saxén and Niruopam Chakraborti. Designing High Strength Multi-phase Steel for Improved Strength-Ductility Balance Using Neural Networks and Multi-objective Genetic Algorithms, ISIJ International, Vol. 47, No. 8, pp. 1195--1203, 2007 .

  686. Dilip Datta, Kalyanmoy Deb and Carlos M. Fonseca. Multi-Objective Evolutionary Algorithm for University Class Timetabling Problem, in Keshav P. Dahal, Kay Chen Tan and Peter I Cowling (editors), Evolutionary Scheduling, pp. 197--236, Springer, Studies in Computational Intelligence (SCI), Berlin, 2007, ISBN 3-540-48582-1 .

  687. Dilip Datta, Kalyanmoy Deb and Carlos M. Fonseca. Multi-objective Evolutionary Algorithms for Resource Allocation Problems, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 401--416, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  688. Shubhabrata Datta, Frank Pettersson, Subhas Ganguly, Henrik Saxen and Nirupam Chakraborti. Identification of factors governing mechanical properties of TRIP-aided steel using genetic algorithms and neural networks, Materials and Manufacturing Processes, Vol. 23, No. 2, pp. 131--138, 2008 .

  689. Peter Dawson, Geoff Parks, Daniel Jaeggi, Arturo Molina-Cristobal and P. John Clarkson. The Development of a Multi-threaded Multi-objective Tabu Search Algorithm, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 242--256, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  690. 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.

  691. 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 .

  692. 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.

  693. 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 .

  694. 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 .

  695. 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 .

  696. 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.

  697. Richard Orison Day. Explicit Building Block Multiobjective Evolutionary Computation: Methods and Application, PhD thesis, Air Force Institute of Technology, AFIT/ENG, BLDG 642, 2950 HOBSON WAY, WPAFB (Dayton) OH 45433-7765, USA, June 2005 (abstract).

  698. Kalyanmoy Deb and Amarendra Kumar. Real-coded Genetic Algorithms with Simulated Binary Crossover: Studies on Multimodal and Multiobjective Problems. Complex Systems, 9:431-454, 1995.

  699. Kalyanmoy Deb. Multi-Objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems, Technical Report CI-49/98, Dortmund: Department of Computer Science/LS11, University of Dortmund, Germany, 1998.

  700. Kalyanmoy Deb. Evolutionary Algorithms for Multi-Criterion Optimization in Engineering Design, In Kaisa Miettinen, Marko M. Mäkelä, Pekka Neittaanmäki, and Jacques Periaux, editors, Evolutionary Algorithms in Engineering and Computer Science, chapter 8, pages 135-161. John Wiley & Sons, Ltd, Chichester, UK, 1999.

  701. Kalyanmoy Deb. Non-linear goal programming using Multi-Objective Genetic Algorithms, Technical Report CI-60/98, Dortmund: Department of Computer Science/LS11, University of Dortmund, Germany, 1999.

  702. 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.

  703. Kalyanmoy Deb. Multi-Objective Genetic Algorithms: Problem Difficulties and Construction of Test Problems, Evolutionary Computation, 7(3):205-230, Fall 1999.

  704. Kalyanmoy Deb. Multi-Objective Evolutionary Algorithms: Introducing Bias Among Pareto-Optimal Solutions KanGAL report 99002, Indian Institute of Technology, Kanpur, India, 1999.

  705. Kalyanmoy Deb, Samir Agrawal, Amrit Pratab, and T. Meyarivan. A Fast Elitist Non-Dominated Sorting Genetic Algorithm for Multi-Objective Optimization: NSGA-II, KanGAL report 200001, Indian Institute of Technology, Kanpur, India, 2000.

  706. 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.

  707. Kalyanmoy Deb and T. Meyarivan. Constrained Test Problems for Multi-Objective Evolutionary Optimization, KanGAL report 200005, Indian Institute of Technology, Kanpur, India, 2000

  708. Kalyanmoy Deb and Tushar Goyal. Controlled Elitist Non-dominated Sorting Genetic Algorithms for Better Convergence, KanGAL report 200004, Indian Institute of Technology, Kanpur, India, 2000

  709. Kalyanmoy Deb and Tushar Goyal. Multi-Objective Evolutionary Algorithms for Engineering Shape Design, KanGAL report 200003, Indian Institute of Technology, Kanpur, India, 2000

  710. Kalyanmoy Deb, A. Patrap, and S. Moitra. Mechanical Component Design for multi-objective using Elitist non-dominated sorting GA, KanGAL report 200002, Indian Institute of Technology, Kanpur, India, 2000

  711. 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

  712. 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

  713. Kalyanmoy Deb and Tushar Goel. A Hybrid Multi-Objective Evolutionary Approach to Engineering Shape Design. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 385-399. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001

  714. Kalyanmoy Deb and Tushar Goel. Controlled Elitist Non-dominated Sorting Genetic Algorithms for Better Convergence. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 67-81. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001

  715. Kalyanmoy Deb, Amrit Pratap, and T. Meyarivan. Constrained Test Problems for Multi-objective Evolutionary Optimization. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 284-298. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001

  716. Kalyanmoy Deb, Lothar Thiele, Marco Laumanns and Eckart Zitzler. Scalable Test Problems for Evolutionary Multi-Objective Optimization, TIK-Report No.112, Computer Engineering and Networks Laboratory (TIK), Swiss Federal Institute of Technology (ETH) Zurich, July, 2001

  717. Kalyanmoy Deb. Nonlinear goal programming using multi-objective genetic algorithms, Journal of the Operational Research Society, Vol. 52, No. 3, pp. 291--302, 2001

  718. Kalyanmoy Deb. Multi-Objective Optimization using Evolutionary Algorithms, John Wiley & Sons, Chichester, UK, 2001, ISBN 0-471-87339-X.

  719. Kalyanmoy Deb, Amrit Pratap, Sameer Agarwal, and T. Meyarivan. A Fast and Elitist Multiobjective Genetic Algorithm: NSGA--II, IEEE Transactions on Evolutionary Computation, Vol. 6, No. 2, pp. 182--197, April 2002.

  720. 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.

  721. 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.

  722. Kalyanmoy Deb and Tushar Goel. Multi-Objective Evolutionary Algorithms for Engineering Shape Design, in Ruhul Sarker, Masoud Mohammadian and Xin Yao (eds), Evolutionary Optimization, pp. 146--175, Kluwer Academic Publishers, New York, February 2002, ISBN 0-7923-7654-4.

  723. 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 .

  724. 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 .

  725. Kalyanmoy Deb. Multi-objective Evolutionary Algorithms: Introducing Bias Among Pareto-optimal Solutions, in Ashish Ghosh and Shigeyoshi Tsutsui (editors), Advances in Evolutionary Computing. Theory and Applications, pp. 263--292, Springer, Berlin, 2003, ISBN 3-540-43330-9 .

  726. Kalyanmoy Deb. Unveiling innovative design principles by means of multiple conflicting objectives, Engineering Optimization, Vol. 35, No. 5, pp. 445--470, October 2003 .

  727. Kalyanmoy Deb and Sachin Kain. Multi-Speed Gearbox Design Using Multi-Objective Evolutionary Algorithms, Journal of Mechanical Design, Vol. 125, No. 3, pp. 609--619, September 2003.

  728. 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.

  729. 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.

  730. Kalyanmoy Deb. An Ideal Evolutionary Multi-Objective Optimization Procedure, IPSJ Transactions on Mathematical Modeling and Its Applications, Vol. 45, No. SIG 2 (TOM 10), pp. 1--11, February 2004.

  731. K. Deb, K. Mitra, R. Dewri and S. Majumdar. Towards a Better Understanding of the Epoxy Polymerization Process Using Multi-objective Evolutionary Computation, Chemical Engineering Science, Vol. 59, No. 20, pp. 4261--4277, 2004.

  732. Kalyanmoy Deb and Sachin Jain. Evaluating Evolutionary Multi-Objective Optimization Algorithms using Running Performance Metrics, in Kay Chen Tan, Meng Hiot Lim, Xin Yao and Lipo Wang (editors), Recent Advances in Simulated Evolution and Learning, pp. 307--326, World Scientific, Singapore, 2004.

  733. 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 .

  734. 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 .

  735. Kalyanmoy Deb and Santosh Tiwari. Multi-objective optimization of a leg mechanism using genetic algorithms, Engineering Optimization, Vol. 37, No. 4, pp. 325--350, June 2005 .

  736. Kalyanmoy Deb, Lothar Thiele, Marco Laumanns and Eckart Zitzler. Scalable Test Problems for Evolutionary Multiobjective Optimization, in Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors), Evolutionary Multiobjective Optimization. Theoretical Advances and Applications, pp. 105--145, Springer, USA, 2005 .

  737. Kalyanmoy Deb, Manikanth Mohan and Shikhar Mishra. Evaluating the epsilon-Domination Based Multi-Objective Evolutionary Algorithm for a Quick Computation of Pareto-Optimal Solutions, Evolutionary Computation, Vol. 13, No. 4, pp. 501--525, Winter 2005 .

  738. Kalyanmoy Deb. Muti-Objective Optimization, in Edmund K. Burke and Graham Kendall (editors), Search Methodologies. Introductory Tutorials in Optimization and Decision Support Techniques, pp. 273--316, Springer, USA, 2005, ISBN 0-387-23406-8.

  739. 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 .

  740. 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 .

  741. Kalyanmoy Deb, J. Sundar, Udaya Bhaskara Rao N. and Shamik Chaudhuri. Reference Point Based Multi-Objective Optimization Using Evolutionary Algorithms, International Journal of Computational Intelligence Research, Vol. 2, No. 3, pp. 273--286, 2006 .

  742. 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 .

  743. 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 .

  744. 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 .

  745. Kalyanmoy Deb and Himanshu Gupta. Introducing robustness in multi-objective optimization, Evolutionary Computation, Vol. 14, No. 4, pp. 463--494, Winter 2006.

  746. Kalyanmoy Deb. Evolutionary Multi-Objective Optimization Without Additional Parameters, in Fernando G. Lobo, Cláudio F. Lima and Zbigniew Michalewicz (editors), Parameter Setting in Evolutionary Algorithms, pp. 241--257, Springer-Verlag, Berlin, 2007 .

  747. Kalyanmoy Deb and Pawan K.S. Nain. An Evolutionary Multi-objective Adaptive Meta-modeling Procedure Using Artificial Neural Networks, in Shengxiang Yang, Yew Soon Ong and Yaochu Jin (editors), Evolutionary Computation in Dynamic and Uncertain Environments, pp. 297--322, Springer, 2007, ISBN 978-3-540-49772-1 .

  748. Kalyanmoy Deb, Dhanesh Padmanabhan, Sulabh Gupta and Abhishek Kumar Mall. Reliability-Based Multi-objective Optimization Using Evolutionary Algorithms, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 66--80, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  749. Kalyanmoy Deb and Abhishek Kumar. Interactive Evolutionary Multi-Objective Optimization and Decision-Making using Reference Direction Method, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 781--788, Vol. 1, ACM Press, London, UK, July 2007 .

  750. Kalyanmoy Deb, S. Karthik and Tatsuya Okabe. Self-Adaptive Simulated Binary Crossover for Real-Parameter Optimization, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 1187--1194, Vol. 2, ACM Press, London, UK, July 2007 .

  751. Kalyanmoy Deb and Shamik Chaudhuri. I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 788--802, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  752. Kalyanmoy Deb, Udaya Bhaskara N. Rao and S. Karthik. Dynamic Multi-objective Optimization and Decision-Making Using Modified NSGA-II: A Case Study on Hydro-thermal Power Scheduling, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 803--817, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  753. Kalyanmoy Deb. Current trends in evolutionary multi-objective optimization, International Journal for Simulation and Multidisciplinary Design Optimization, Vol. 1, No.1, pp. 1--8, October 2007.

  754. Kalyanmoy Deb and Aravind Srinivasan. Innovization: Discovery of Innovative Design Principles Through Multiobjective Evolutionary Optimization , in Joshua Knowles, David Corne and Kalyanmoy Deb (Editors), Multi-Objective Problem Solving from Nature: From Concepts to Applications, pp. 243--262, Springer, Berlin, 2008, ISBN 978-3-540-72963-1 .

  755. S. Dedieu, L. Pibouleau, C. Azzaro-Pantel and S. Domenech, Design and retrofit of multiobjective batch plants via a multicriteria genetic algorithm, Computers & Chemical Engineering, Vol. 27, No. 12, pp. 1723--1740, December 15, 2003 .

  756. S. Dehuri, S. Patnaik, A. Ghosh and R. Mall. Application of elitist multi-objective genetic algorithm for classification rule generation, Applied Soft Computing, Vol. 8, No. 1, pp. 477--487, January 2008 .

  757. 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.

  758. 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 .

  759. 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 .

  760. Edwin D. de Jong and Jordan B. Pollack.Multi-Objective Methods for Tree Size Control, Genetic Programming and Evolvable Machines, Vol. 4, No. 3, pp. 211--233, September 2003 .

  761. Edwin D. de Jong and Jordan B. Pollack. Ideal Evaluation from Coevolution, Evolutionary Computation, Vol. 12, No. 2, pp. 159--192, Summer 2004.

  762. 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.

  763. 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.

  764. 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.

  765. Edwin D. de Jong. A Monotonic Archive for Pareto-Coevolution, Evolutionary Computation, Vol. 15, No. 1, pp. 61--93, Spring 2007 .

  766. Edwin D. de Jong and Anthony Bucci. Objective Set Compression. Test-Based Problems and Multiobjective Optimization , in Joshua Knowles, David Corne and Kalyanmoy Deb (Editors), Multi-Objective Problem Solving from Nature: From Concepts to Applications, pp. 357--376, Springer, Berlin, 2008, ISBN 978-3-540-72963-1 .

  767. I.M. Delamer and J.L.M. Lastra. Evolutionary multi-objective optimization of QoS-Aware Publish/Subscribe Middleware in electronics production, Engineering Applications of Artificial Intelligence, Vol. 19, No. 6, pp. 593--607, September 2006 .

  768. Miguel Delgado, Manuel P. Cuellar and Maria Carmen Pegalajar. Multiobjective hybrid optimization and training of recurrent neural Networks, IEEE Transactions on Systems, Man, and Cybernetics--Part B: Cybernetics, Vol. 38, No. 2, pp. 381--403, April 2008 .

  769. Pierre De Lit, Patrice Latinne, Brahim Rekiek and Alain Delchambre. Assembly Planning with an Ordering Genetic Algorithm, International Journal of Production Research, Vol. 39, No. 16, pp. 3623--3640, November 2001.

  770. María José del Jesus, Pedro González and Francisco Herrera. Multiobjective Genetic Algorithm for Extracting Subgroup Discovery Fuzzy Rules, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 50--57, IEEE Press, Honolulu, Hawaii, USA, April 2007 .

  771. G. Dellino, P. Lino, C. Meloni and A. Rizzo. Enhanced Evolutionary Algorithms for Multidisciplinary Design Optimization: A Control Engineering Perspective, in Crina Grosan, Ajith Abraham and Hisao Ishibuchi (editors), Hybrid Evolutionary Algorithms, pp. 39--76, Springer, Heidelberg, 2007.

  772. Gul Nildem Demir, A. Sima Uyar and Sule Oguducu. Graph-based Sequence Clustering through Multiobjective Evolutionary Algorithms for Web Recommender System, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 1943--1950, Vol. 2, ACM Press, London, UK, July 2007.

  773. Dirk De Pauw. Optimal Experimental Design for Calibration of Bioprocess Models: A Validated Software Toolbox, PhD thesis, Faculteit Bio-Ingenieurswetenschappen, Universiteit Gent, Belgium, 2005 (abstract).

  774. B. De Smedt and G.C.E. Gielen. WATSON: Design space boundary exploration and model generation for analog and RF IC design, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 22, No. 2, pp. 213--224, February 2003 .

  775. 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 .

  776. 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.

  777. 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.

  778. 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.

  779. Clarisse Dhaenens-Flipo. Optimisation Combinatoire Multi-Objectif: Apport des Méthodes Coopératives et Contribution à L'Extraction de Connaissances, PhD thesis, Université des Sciences et Technologies de Lille, Lille, France, October 2005 (In French).

  780. A. K. Dhingra and B. H. Lee. A Genetic Algorithm Approach to Single and Multiobjective Structural Optimization with Discrete-Continuous Variables. International Journal for Numerical Methods in Engineering, 37:4059-4080, 1994.

  781. Alexandre H.F. Dias and Joao A. de Vasconcelos. Multiobjective genetic algorithms applied to solve optimization problems, IEEE Transactions on Magnetics, Vol. 38, No. 2, pp. 1133--1136, March 2002.

  782. 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.

  783. 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 .

  784. P. Di Barba, M. Farina and A. Savini. Vector Shape Optimisation of an Electrostatic Micromotor using a Genetic Algorithm, COMPEL International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Vol. 19, No. 2, pp. 576--581, 2000.

  785. P. Di Barba, M. Farina, and A. Savini. Multiobjective Design Optimization of Real-Life Devices in Electrical Engineering: A Cost-Effective Evolutionary Approach. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 560-573. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.

  786. P. Di Barba, M. Farina and A. Savini. An improved technique for enhancing diversity in Pareto evolutionary optimization of electromagnetic devices, COMPEL International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Vol. 20, No. 2, pp. 482--496, 2001.

  787. P. Di Barba and M. Farina. Multiobjective Shape Optimisation of Air Cored Solenoids, COMPEL International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Vol. 21, No. 1, pp. 45--57, 2002.

  788. P. Di Barba. Multiobjective design optimisation: A microeconomics-inspired strategy applied to electromagnetics, International Journal of Applied Electromagnetics and Mechanics, Vol. 21, No. 2, pp. 101--117, 2005 .

  789. Paolo Di Barba, Maria Evelina Mognaschi and Antonio Savini. Synthesizing a field source for magnetic stimulation of peripheral nerves, IEEE Transactions on Magnetics, Vol. 43, No. 11, pp. 4023--4029, November 2007 .

  790. 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.

  791. Robert P. Dick and Niraj K. Jha. MOGAC: A Multiobjective Genetic Algorithm for Hardware-Software Co-synthesis of Hierarchical Heterogeneous Distributed Embedded Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 17(10):920-935, October 1998.

  792. 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.

  793. 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.

  794. Robert P. Dick. Multiobjective Synthesis of Low-Power Real-Time Distributed Embedded Systems, PhD Thesis, Electrical Engineering Department. Princeton University, November 2002 (abstract).

  795. Grant Dick and Peter A. Wingham. Spatially-Structured Evolutionary Algorithms and Sharing: Do They Mix?, in Tzai-Der Wang, Xiaodong Li, Shu-Heng Chen, Xufa Wang, Hussein Abbass, Hitoshi Iba, Guoliang Chen and Xin Yao (editors), Simulated Evolution and Learning, 6th International Conference, SEAL 2006, pp. 457--464, Springer. Lecture Notes in Computer Science Vol. 4247, Hefei, China, October 2006.

  796. Grant Dick and Peter A. Wingham. Multimodal Optimisation with Structured Populations and Local Environments, in Tzai-Der Wang, Xiaodong Li, Shu-Heng Chen, Xufa Wang, Hussein Abbass, Hitoshi Iba, Guoliang Chen and Xin Yao (editors), Simulated Evolution and Learning, 6th International Conference, SEAL 2006, pp. 505--512, Springer. Lecture Notes in Computer Science Vol. 4247, Hefei, China, October 2006.

  797. A. Dietz, C. Azzaro-Pantel, L. Pibouleau and S. Domenech, Multiobjective optimization for multiproduct batch plant design under economic and environmental considerations, Computers & Chemical Engineering, Vol. 30, No. 4, pp. 599--613, February 15, 2006 .

  798. A. Dietz, C. Azzaro-Pantel, L. Pibouleau and S. Domenech. Optimal design of batch plants under economic and ecological considerations: Application to a biochemical batch plant, Mathematical and Computer Modelling, Vol. 46, Nos. 1--2, pp. 109--123, July 2007 .

  799. Adrian Dietz, Catherine Azzaro Pantel, Luc Guy Pibouleau and Serge Domenech. Ecodesign of batch processes: Optimal design strategies for economic and ecological bioprocesses, International Journal of Chemical Reactor Engineering, Vol. 5, Art. No. A34, September 4, 2007 .

  800. A. Dietz, C. Azzaro-Pantel, L. Pibouleau and S. Domenech. Strategies for multiobjective genetic algorithm development: Application to optimal batch plant design in process systems engineering, Computers & Industrial Engineering, Vol. 54, No. 3, pp. 539--569, April 2008 .

  801. 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.

  802. 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.

  803. 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.

  804. 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 .

  805. 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 .

  806. 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.

  807. C. Dimopoulos. Explicit consideration of multiple objective in cellular manufacturing, Engineering Optimization, Vol. 39, No. 5, pp. 551--565, July 2007 .

  808. 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 .

  809. H.W. Ding, L. Benyoucef and X.L. Xie. A simulation-based multi-objective genetic algorithm approach for networked enterprises optimization, Engineering Applications of Artificial Intelligence, Vol. 19, No. 6, pp. 609--623, September 2006 .

  810. Federico Divina and Jesus S. Aguilar Ruiz. A Multi-Objective Approach to Discover Biclusters in Microarray Data, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 385--392, Vol. 1, ACM Press, London, UK, July 2007 .

  811. Vladimir N. Dobrokhodov and Roman B. Statnikov. Multi-Criteria Identification of a Controllable Descending System, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 212--219, IEEE Press, Honolulu, Hawaii, USA, April 2007 .

  812. 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.

  813. Karl Doerner, Richard F. Hartl and Marc Reimann. Are COMPETants more competent for problem solving? - The Case of Full Truckload Transportation, Central European Journal of Operations Research, Vol. 11, No. 2, pp. 115--141, 2003.

  814. Karl Doerner, Walter J. Gutjahr, Richard F. Hartl, Christine Strauss and Christian Stummer. Pareto Ant Colony Optimization: A Metaheuristic Approach to Multiobjective Portfolio Selection, Annals of Operations Research, Vol. 131 Nos. 1--4, pp. 79--99, October 2004 .

  815. K.F. Doerner, W.J. Gutjahr, R.F. Hartl, C. Strauss and C. Stummer. Pareto ant colony optimization with ILP preprocessing in multiobjective portfolio selection, European Journal of Operational Research, Vol. 171, No. 3, pp. 830--841, 16th June, 2006 .

  816. Karl Doerner, Axel Focke and Walter J. Gutjahr. Multicriteria tour planning for mobile healthcare facilities in a developing country, European Journal of Operational Research, Vol. 179, No. 3, pp. 1078--1096, June 16, 2007 .

  817. A. Dogan and F. Ozguner, Biobjective scheduling algorithms for execution time-reliability trade-off in heterogeneous computing systems,Computer Journal, Vol. 48, No. 3, pp. 300--314, 2005 .

  818. Lukás Dolívka and Jirí Hospodka. Using the Differential Evolition Algorithm for the Multi-Objective Optimization of a Switched-Current Circuit, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 1351--1358, IEEE Press, Singapore, September 2007.

  819. 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.

  820. 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.

  821. Yezid Donoso and Ramon Fabregat. Multi-Objective Optimization in Computer Networks Using Metaheuristics, Auerbach Publications, Boca Raton, Florida, 2007, ISBN 0-8493-8084-7 .

  822. Yezid Donoso, Carolina Alvarado, Alfredo Perez and Ivan Herazo. A Multi-Objective Solution Applying MOEA in Optical Networks, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 360--367, IEEE Press, Honolulu, Hawaii, USA, April 2007 .

  823. 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 .

  824. Jason Liam Dorn. Evolutionary Algorithms to Aid Watershed Management, PhD thesis, North Carolina State University, Raleigh, North Carolina, 2004 (abstract).

  825. 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.

  826. 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.

  827. 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.

  828. 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.

  829. Nicole Drechsler, Rolf Drechsler, and Bernd Becker. Multi-objective Optimisation Based on Relation favour. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 154-166. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.

  830. Johann Dréo, Alain Pétrowski, Patrick Siarry and Eric Taillard. Metaheuristics for Hard Optimization. Methods and Case Studies, Springer, December 2005, ISBN 3-540-23022-X .

  831. 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.

  832. Grzegorz Dobrowolski and Marek Kisiel-Dorhinicki. Management of Evolutionary MAS for Multiobjective Optimisation, in Tadeusz Burczyński and Andrzej Osyczka (editors), IUTAM Symposium on Evolutionary Methods in Mechanics, pp. 81--90, Kluwer Academic Publishers, Dordrecht/Boston/London, 2004, ISBN 1-4020-2266-2.

  833. 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.

  834. Yezyd Donoso Meisel. Multi-Objective Optimization Scheme for Static and Dynamic Multicast Flows, PhD thesis, Department of Electronics, Computer Science and Automatic Control, Universitat de Girona, Girona, Spain, April 2005 (abstract) .

  835. 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 .

  836. Rafal Drezewski and Leszek Siwik. The Application of Agent-Based Co-Evolutionary System with Predator-Prey Interactions to Solving Multi-Objective Optimization Problems, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 294--301, IEEE Press, Honolulu, Hawaii, USA, April 2007 .

  837. Rafal Drezewski and Leszek Siwik. Multi-objective Optimization Technique Based on Co-evolutionary Interactions in Multi-agent System, in Mario Giacobini et al. (Editors), Applications of Evolutionary Computing. EvoWorkshops 2007: EvoCOMNET, EvoFIN, EvoIASP, EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTRANSLOG, pp. 179-188, Springer. Lecture Notes in Computer Science Vol. 4448, Valencia, Spain, April 2007.

  838. Grzegorz Drzadzewski and Mark Wineberg. The Importance of Scalability When Comparing Dynamic Weighted Aggregation and Pareto Front Techniques, in El-Ghazali Talbi, Pierre Liardet, Pierre Collet, Evelyne Lutton and Marc Schoenauer (editors), Artificial Evolution, 7th International Conference, Evolution Artificielle, EA 2005, pp. 143--154, Springer. Lecture Notes in Computer Science Vol. 3871, Lille, France, October 2005.

  839. 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.

  840. 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.

  841. 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.

  842. 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 .

  843. Els Ducheyne. Multiple objective forest management using GIS and genetic optimisation techniques, PhD Thesis, Faculty of Agricultural and Applied Biological Sciences, University of Ghent, Belgium, September 2003 .

  844. E.I. Ducheyne, B. De Baets and R.R. De Wulf. Even Flow Scheduling Problems in Forest Management, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 701--726, World Scientific, Singapore, 2004.

  845. 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 .

  846. Fabian Duddeck. Multidisciplinary optimization of car bodies, Structural and Multidisciplinary Optimization, Vol. 35, No. 4, pp. 375--389, April 2008 .

  847. 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.

  848. 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.

  849. 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.

  850. J. Duggan, J. Byrne and G.J. Lyons, A task allocation optimizer for software construction, IEEE Software, Vol. 21, No. 3, pp. 76--82, May-June 2004.

  851. D. Dumitrescu, Crina Grosan and Mihai Oltean. A New Evolutionary Approach for Multiobjective Optimization, Studia Universitatis Babes--Bolyai, Informatica, Volume XLV, No. 1, pp. 51--68, 2000.

  852. D. Dumitrescu, Crina Grosan and Mihai Oltean. Genetic Chromodynamics for Obtaining Continuous Representation of Pareto Regions, Studia Universitatis Babes--Bolyai, Informatica, Volume XLVI, No. 1, pp. 15--30, 2001.

  853. D. Dumitrescu, Crina Grosan and Mihai Oltean. Evolving Continuous Pareto Regions, in Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors), Evolutionary Multiobjective Optimization. Theoretical Advances and Applications, pp. 167--199, Springer, USA, 2005 .

  854. 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.

  855. 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.

  856. 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.

    857. E

  857. Marc Ebner and Andreas Zell. Evolving a Task Specific Image Operator, in Riccardo Poli, Hans-Michael Voigt, Stefano Cagnoni, David Corne, George D. Smith and Terence C. Fogarty (eds), Evolutionary Image Analysis, Signal Processing and Telecommunications, pp. 74--89, Springer. Lecture Notes in Computer Science Volume 1596, Berlin, May 1999.

  858. R.M. Edwards, G.G. Cook, S.K. Kharmas, R.J. Aidley and B. Chambers. Design of circularly polarised printed spiral antenna using dual objective genetic algorithm, Electronics Letters, Vol. 34, No. 7, pp. 608--609, April 1998.

  859. 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.

  860. 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.

  861. Igor N. Egorov-Yegorov and George S. Dulikravich. Chemical Composition Design of Superalloys for Maximum Stress, Temperature, and Time-To-Rupture using Self-Adaptive Surface Optimization, Materials and Manufacturing Processes, Vol. 20, No. 3, pp. 569--590, 2005.

  862. 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 .

  863. Matthias Ehrgott and Xavier Gandibleux. An Annotated Bibliography of Multi-objective Combinatorial Optimization, Technical Report 62/2000, Fachbereich Mathematik, Universitat Kaiserslautern, Kaiserslautern, Germany, 2000.

  864. Matthias Ehrgott and Xavier Gandibleux. A Survey and Annotated Bibliography of Multiobjective Combinatorial Optimization. OR Spektrum, 22:425-460, 2000.

  865. Matthias Ehrgott. Approximation algorithms for combinatorial multicriteria optimization problems. International Transactions in Operational Research, 7:5-31, 2000.

  866. Matthias Ehrgott and Xavier Gandibleux. Multiobjective Combinatorial Optimization---Theory, Methodology, and Applications, in Matthias Ehrgott and Xavier Gandibleux (editors), Multiple Criteria Optimization: State of the Art Annotated Bibliographic Surveys, pp. 369--444, Kluwer Academic Publishers, Boston, 2002.

  867. Matthias Ehrgott and Xavier Gandibleux (editors). Multiple Criteria Optimization: State of the Art Annotated Bibliographic Surveys, Kluwer Academic Publishers, Boston, 2002.

  868. Matthias Ehrgott, Kathrin Klamroth and Christian Schwehm. An MCDM approach to portfolio optimization, European Journal of Operational Research, Vol. 155, No. 3, pp. 752--770, June 2004.

  869. Matthias Ehrgott and Xavier Gandibleux. Approximative Solution Methods for Multiobjective Combinatorial Optimization, Top, Vol. 12, No. 1, pp. 1--89, June 2004.

  870. M. Eisenring, L. Thiele, and E. Zitzler. Conflicting Criteria in Embedded System Design. IEEE Design and Test, 17(2):51-59, April-June 2000.

  871. Anikó Ekárt and S.Z. Németh. Selection Based on the Pareto Nondomination Criterion for Controlling Code Growth in Genetic Programming, Genetic Programming and Evolvable Machines, Vol. 2, No. 1, pp. 61--73, March 2001.

  872. 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.

  873. Neil H. Eklund and Mark J. Embrechts. Determining the Color-Efficiency Pareto Optimal Surface for Filtered Light Sources. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 603-611. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.

  874. Neil H. Eklund and Mark J. Embrechts. Multi-Objective Optimization of Spectra Using Genetic Algorithms, Journal of Illuminating Engineering Society, Vol. 30, pp. 65--72, 2001.

  875. Neil Holger White Eklund.Multiobjective Visible Spectrum Optimization: A Genetic Algorithm Approach, PhD Thesis, Rensselaer Polytechnic Institute, Troy, New York, USA, September 2002 (abstract).

  876. Samya Elaoud, Taicir Loukil and Jacques Teghem. The Pareto fitness genetic algorithm: Test function study, European Journal of Operational Research, Vol. 177, No. 3, pp. 1703--1719, March 16, 2007 .

  877. Samya Elaoud, Jacques Teghem and Bassem Bouaziz. Genetic algorithms to solve the cover printing problem, Computers & Operations Research, Vol. 34, No. 11, pp. 3346--3361, November 2007 .

  878. C. Elegbede and K. Adjallah. Availability allocation to repairable systems with genetic algorithms: a multi-objective formulation, Reliability Engineering and System Safety, Vol. 82, No. 3, pp. 319--330, December 2003.

  879. Walid El Moudani, Carlos Alberto Nunes Cosenza, Marc de Coligny, and Félix Mora-Camino. A Bi-Criterion Approach for the Airlines Crew Rostering Problem. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 486-500. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.

  880. 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 .

  881. 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.

  882. K. El-Rayes and K. Hyari. Optimal lighting arrangements for nighttime highway construction projects, Journal of Construction Engineering and Management--ASCE, Vol. 131, No. 12, pp. 1292--1300, December 2005 .

  883. Nasser El-Sherbeny. Resolution of a Vehicle Routing Problem with Multiobjective Simulated Annealing Method, PhD thesis, Faculté Polytechnique de Mons, Belgium, 2001 .

  884. 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.

  885. 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.

  886. 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.

  887. 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.

  888. 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.

  889. L. R. Emmendorfer and A. T. R. Pozo. An Empirical Evaluation of Linkage Learning Strategies for Multimodal Optimization, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 326--333, IEEE Press, Singapore, September 2007 .

  890. 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.

  891. 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 .

  892. Michael T.M. Emmerich. Single- and Multi-objective Evolutionary Design Optimization Assisted by Gaussian Random Field Metamodels, PhD thesis, University of Dortmund, October 2005 (abstract) .

  893. Michael T.M. Emmerich, Kyriakos C. Giannakoglou and Boris Naujoks. Single- and Multiobjective Evolutionary Optimization Assisted by Gaussian Random Field Metamodels, IEEE Transactions on Evolutionary Computation, Vol. 10, No. 4, pp. 421--439, August 2006 .

  894. 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 .

  895. 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.

  896. Jason W. Enslin. An Evolutionary Algorithm Approach to Simultaneous Multi-Mission Radar Waveform Design, Masters thesis, Department of Electrical Engineering, Rochester Institute of Technology, Rochester, New York, August 2007 (abstract) .

  897. 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.

  898. Cagkan Erbas, Selin Cerac-Erbas and Andy D. Pimentel. Multiobjective Optimization and Evolutionary Algorithms for the Application Mapping Problem in Multiprocessor System-on-Chip Design, IEEE Transactions on Evolutionary Computation, Vol. 10, No. 3, pp. 358--374, June 2006 .

  899. 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.

  900. Mark Erickson, Alex Mayer, and Jeffrey Horn. The Niched Pareto Genetic Algorithm 2 Applied to the Design of Groundwater Remediation Systems. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 681-695. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.

  901. Mark Erickson, Alex Mayer, and Jeffrey Horn. Multi-objective optimal design of groundwater remediation systems: application of the niched Pareto genetic algorithm (NPGA), Advances in Water Resources, Vol. 25, No. 1, pp. 51--65, January 2002.

  902. 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.

  903. 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.

  904. 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 .

  905. Hamidreza Eskandari, Christopher D. Geiger and Gary B. Lamont. FastPGA: A Dynamic Population Sizing Approach for Solving Expensive Multiobjective 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. 141--155, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  906. 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.

  907. S. Esquivel, S. Ferrero, R. Gallard, C. Salto, H. Alfonso and M. Schütz. Enhanced evolutionary algorithms for single and multiobjective optimization in the job scheduling problem, Knowledge-Based Systems, Vol. 15, Nos. 1--2, pp. 13--25, January 2002.

  908. S. Esquivel, S. Ferrero and R. Gallard. Parameter settings and representations in Pareto-based optimization for job shop scheduling, Cybernetics and Systems, Vol. 33, No. 6, pp. 559--578, September 2002.

  909. 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.

  910. Richard M. Everson and Jonathan E. Fieldsend. Multi-class ROC analysis from a multi-objective optimisation perspective, Technical Report # 421, Department of Computer Science, University of Exeter, Exeter, UK, April 2005.

  911. Richard M. Everson and Jonathan E. Fieldsend. Multiobjective Optimization of Safety Related Systems: An Application to Short-Term Conflict Alert, IEEE Transactions on Evolutionary Computation, Vol. 10, No. 2, pp. 187--198, April 2006 .

  912. R.M. Everson and J.E. Fieldsend. Multi-class ROC analysis from a multi-objective optimisation perspective, Pattern Recognition Letters, Vol. 27, No. 8, pp. 918--927, June 2006 .

  913. Richard M. Everson and Jonathan E. Fieldsend. Multi-Objective Optimisation for Receiver Operating Characteristic Analysis, in Yaochu Jin (editor), Multi-Objective Machine Learning, pp. 533--556, Springer. Studies in Computational Intelligence, Volume 16, 2006 .

    914. F

  914. Han Fangyu, Jia Xiaoping and Tan Xinsun. Two Key Support Tools for Environmentally Friendly Process Optimal Synthesis, in Proceedings of PSE 2003, The 8th International Symposium on Process Systems Engineering, pp. 1274--1279, Elsevier, Computer Aided Process Engineering Book Series 15, Kunming, China, 2003.

  915. Ali Farhang-Mehr and Shapour Azarm. Multi-Objective Genetic Algorithms With Concepts from Statistical Thermodynamics, 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. 1075, Morgan Kaufmann Publishers, San Francisco, California, July 2001.

  916. 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.

  917. Ali Farhang-Mehr and Shapour Azarm. Entropy-based multi-objective genetic algorithm for design optimization, Structural and Multidisciplinary Optimization, Vol. 24, No. 5, pp. 351--361, November 2002.

  918. 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 .

  919. Ali Farhang-Mehr. Entropy Approach to Meta-Modeling, Multi-Objective Genetic Algorithm, and Quality Assessment of Solution Sets for Design Optimization, PhD thesis, Department of Mechanical Engineering, University of Maryland, College Park, Maryland, USA, 2003 (abstract).

  920. Alfredo R. de Faria. Compliance and Buckling Optimization of Structures under Multiple Load Cases, in Nadia Nedjah and Luiza de Macedo Mourelle (editors), Real-World Multi-Objective System Engineering, pp. 101--138, Nova Science Publishers, New York, 2005.

  921. Marco Farina. Cost-effective Evolutionary Strategies for Pareto Optimal Front Approximation in Multiobjective Shape Design Optimization of Electromagnetic Devices, PhD Thesis, Department of Electrical Engineering, University of Pavia, Italy, 2001 (abstract).

  922. Marco Farina. A Minimal Cost Hybrid Strategy for Pareto Optimal Front Approximation, Evolutionary Optimization, Vol. 3, No. 1, pp. 41--52, 2001.

  923. 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.

  924. 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.

  925. Marco Farina, Alessandro Bramanti and Paolo Di Barba. A GRS Method for Pareto-Optimal Front Identification in Electromagnetic Synthesis, IEE Proceedings---Science, Measurement and Technology, Vol. 149, No. 5, pp. 207--213,September 2002.

  926. 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.

  927. 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 .

  928. 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 .

  929. M. Farina and P. Amato. A fuzzy definition of "optimality" for many-criteria optimization problems, IEEE Transactions on Systems, Man, and Cybernetics Part A---Systems and Humans, Vol. 34, No. 3, pp. 315--326, May 2004.

  930. 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.

  931. Marco Farina, Kalyanmoy Deb and Paolo Amato. Dynamic Multiobjective Optimization Problems: Test Cases, Approximations, and Applications, IEEE Transactions on Evolutionary Computation, Vol. 8, No. 5, pp. 425--442, October 2004.

  932. Marco Farina and Paolo Di Barba. Optimal Design of Industrial Electromagnetic Devices: A Multiobjective Evolutionary Approach, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 53--78, World Scientific, Singapore, 2004.

  933. M. Farina and P. Amato. Linked interpolation-optimization strategies for multicriteria optimization problems, Soft Computing--A Fusion of Foundations, Methodologies and Applications, Springer-Verlag, Vol. 9, No. 1, pp. 54--65, January 2005 .

  934. R. Farmani, D.A. Savic and G.A. Walters. Evolutionary multi-objective optimization in water distribution network design, Engineering Optimization, Vol. 37, No. 2, pp. 167--183, March 2005 .

  935. Raziyeh Farmani, Dragan A. Savic and Godfrey A. Walters. On Convergence of Multi-objective Pareto Front: Perturbation Method, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 443--456, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  936. S. Favuzza, M.G. Ippolito and E.R. Sanseverino. Crowded comparison operators for constraints handling in NSGA-II for optimal design of the compensation system in electrical distribution networks, Advanced Engineering Informatics, Vol. 20, No. 2, pp. 201--211, April 2006 .

  937. Hala Fayad. Application of Neural Networks and Genetic Algorithms for Solving Conjunctive Water Use Problems, PhD Thesis, Department of Biological and Irrigation Engineering, Utah State University, Logan, Utah, 2001 (abstract).

  938. Paulo Fazendeiro, Jose Valente de Oliveira and Witold Pedrycz. A multiobjective design of a patient and anaesthetist-friendly neuromuscular blockade controller, IEEE Transactions on Biomedical Engineering, Vol. 54, No. 9, pp. 1667--1678, September 2007.

  939. Chung-Wei Feng, Liang Liu, and Scott A. Burns. Using Genetic Algorithms to Solve Construction Time-Cost Trade-Off Problems. Journal of Computing in Civil Engineering, 10(3):184-189, 1999.

  940. C.-M. Feng and J.-J. Lin. Using a genetic algorithm to generate alternative sketch maps for urban planning. Computers, Environment and Urban Systems, 23(2):91-108, March 1999.

  941. Xiang Feng and Francis C. M. Lau. A Parallel Evolutionary Approach to Multi-objective Optimization, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 1199--1206, IEEE Press, Singapore, September 2007.

  942. 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.

  943. Eduardo Fernández and Rafael Olmedo. An improved method for deriving final ranking from a fuzzy preference relation via multiobjective optimization, Foundations of Computing and Decision Sciences, Vol. 28, No. 3, pp. 143--157, 2003 .

  944. Eduardo Fernández and Juan Carlos Leyva. A method based on multiobjective optimization for deriving a ranking from a fuzzy preference relation, European Journal of Operational Research, Vol. 154, No. 1, pp. 110--124, April 2004 .

  945. J.C. Ferreira, C.M. Fonseca, and A. Gaspar-Cunha. Methodology to Select Solutions from the Pareto-Optimal Set: A Comparative Study, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 789--796, Vol. 1, ACM Press, London, UK, July 2007 .

  946. Sevan Gregory Ficici. Multiobjective Optimization and Coevolution, in Joshua Knowles, David Corne and Kalyanmoy Deb (Editors), Multi-Objective Problem Solving from Nature: From Concepts to Applications, pp. 31--52, Springer, Berlin, 2008, ISBN 978-3-540-72963-1 .

  947. 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.

  948. 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.

  949. Jonathan E. Fieldsend, Richard M. Everson and Sameer Singh. Using Unconstrained Elite Archives for Multiobjective Optimization, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 3, pp. 305--323, June 2003 .

  950. Jonathan Edward Fieldsend. Novel Algorithms for Multi-Objective Search and their Application in Multi-Objective Evolutionary Neural Network Training, PhD thesis, Department of Computer Science, University of Exeter, Exeter, UK, June 2003 (abstract).

  951. 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.

  952. Jonathan E. Fieldsend and Sameer Singh. Optimizing Forecast Model Complexity using Multi-Objective Evolutionary Algorithms, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 675--700, World Scientific, Singapore, 2004.

  953. 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.

  954. J.E. Fieldsend. Multi-Objective Particle Swarm Optimisation Methods, Technical Report # 419, Department of Computer Science, University of Exeter, Exeter, UK, March 2004.

  955. 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.

  956. Jonathan E. Fieldsend and Sameer Singh. Pareto evolutionary neural networks, IEEE Transactions on Neural Networks, Vol. 16, No. 2, pp. 338--354, March 2005.

  957. 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.

  958. Jonathan E. Fieldsend. Regression Error Characteristic Optimisation of Non-Linear Models, in Yaochu Jin (editor), Multi-Objective Machine Learning, pp. 103--123, Springer. Studies in Computational Intelligence, Volume 16, 2006 .

  959. Jonathan E. Fieldsend and Richard M. Evereson. Multiobjective Supervised Learning , in Joshua Knowles, David Corne and Kalyanmoy Deb (Editors), Multi-Objective Problem Solving from Nature: From Concepts to Applications, pp. 155--176, Springer, Berlin, 2008, ISBN 978-3-540-72963-1 .

  960. Bogdan Filipic, Tea Tusar and Erkki Laitinen. Computer-Assisted Analysis of a Metallurgical Production Process in View of Multiple Objectives, in Bogdan Filipic and Jurij Silc (editors), Bioinspired Optimization Methods and their Applications, pp. 167--176, Jozef Stefan Institute, October 2006.

  961. Bogdan Filipic, Tea Tusar and Erkki Laitinen. Preliminary Numerical Experiments in Multiobjective Optimization of a Metallurgical Production Process, Informatica, Vol. 31, No. 2, pp. 233--240, 2007 .

  962. 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 .

  963. 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.

  964. 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.

  965. 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 .

  966. 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 .

  967. 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 .

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

  969. P.J. Fleming and R.C. Purshouse. Genetic Algorithms in Control Systems Engineering, Technical Report No. 789, Departament of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK, May 2001.

  970. 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.

  971. Peter J. Fleming and Maksim A. Pashkevich. Optimal advertising campaign generation for multiple brands using MOGA, IEEE Transactions on Systems, Man, and Cybernetics Part C--Applications and Reviews, Vol. 37, No. 6, pp. 1190--1201, November 2007 .

  972. Robert Flynn and Porter D. Sherman. Multicriteria Optimization of Aircraft Panels: Determining Viable Genetic Algorithm Configurations. International Journal of Intelligent Systems, 10:987-999, 1995.

  973. K. Foli, T. Okabe, M. Olhofer, Y.C. Jin and B. Sendhoff. Optimization of micro heat exchanger: CFD, analytical approach and multi-objective evolutionary algorithms, International Journal of Heat and Mass Transfer, Vol. 49, Nos. 5--6, pp. 1090--1099, March 2006 .

  974. 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.

  975. 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.

  976. Carlos M. Fonseca and Peter J. Fleming. An overview of evolutionary algorithms in multiobjective optimization, Technical report, Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, U. K., 1994.

  977. 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.

  978. Carlos M. Fonseca and Peter J. Fleming. An overview of evolutionary algorithms in multiobjective optimization, Evolutionary Computation, 3(1):1-16, Spring 1995.

  979. Carlos Manuel Mira de Fonseca. Multiobjective Genetic Algorithms with Applications to Control Engineering Problems, PhD thesis, Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK, September 1995.

  980. Carlos M. Fonseca and Peter J. Fleming. Multiobjective Optimization and Multiple Constraint Handling with Evolutionary Algorithms I: A Unified Formulation, Technical Report 564, University of Sheffield, Sheffield, UK, January 1995.

  981. Carlos M. Fonseca and Peter J. Fleming. Multiobjective Optimization and Multiple Constraint Handling with Evolutionary Algorithms II: Application Example, Technical Report 565, University of Sheffield, Sheffield, UK, January 1995.

  982. 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.

  983. 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.

  984. 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.

  985. Carlos M. Fonseca and Peter J. Fleming. Multiobjective Optimization. In Thomas Bäck, David B. Fogel, and Zbigniew Michalewicz, editors, Handbook of Evolutionary Computation, volume 1, pages C4.5:1-C4.5:9. Institute of Physics Publishing and Oxford University Press, 1997.

  986. C.M. Fonseca and P.J. Fleming. Multiobjective genetic algorithms, in A.M.S. Zalzala and P.J. Fleming (editors), Genetic Algorithms in Engineering Systems, Chapter 3, pp. 63--78, The Institution of Electrical Engineers. Control Engineering Series 55, Bath, UK, 1997.

  987. Carlos M. Fonseca and Peter J. Fleming. Multiobjective Optimization and Multiple Constraint Handling with Evolutionary Algorithms--Part I: A Unified Formulation. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 28(1):26-37, 1998.

  988. Carlos M. Fonseca and Peter J. Fleming. Multiobjective Optimization and Multiple Constraint Handling with Evolutionary Algorithms--Part II: A Application Example. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 28(1):38-47, 1998.

  989. 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.

  990. Viviane Grunert da Fonseca, Carlos M. Fonseca, and Andreia O. Hall. Inferential Performance Assessment of Stochastic Optimisers and the Attainment Function. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 213-225. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.

  991. 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 .

  992. 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 .

  993. Christian Fonteix, Silvère Massebeuf, Fernand Pla and Laszlo Nando Kiss. Multicriteria optimization of an emulsion polymerization process, European Journal of Operational Research, Vol. 153, No. 2, pp. 350--359, March 2004.

  994. 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 .

  995. 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 .

  996. Manuel Förster, Bettina Bickel, Bern Hardung and Gabriella Kókai. Self-Adaptive Ant Colony Optimization Applied to Function Allocation in Vehicle Networks, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 1991--1998, Vol. 2, ACM Press, London, UK, July 2007 .

  997. 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.

  998. Michalis Fragiadakis, Nikos D. Lagaros and Manolis Papadrakakis. Performance-based multiobjective optimum design of steel structures considering life-cycle cost, Structural and Multidisciplinary Optimization, Vol. 32, No. 1, pp. 1--11, July 2006.

  999. 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 .

  1000. Carsten Franke. Design and Evaluation of Multi-Objective Online Scheduling Strategies for Parallel Machines using Computational Intelligence, PhD thesis, Robotics Research Institute, University of Dortmund, Dortmund, Germany, November 2006 (abstract) .

  1001. 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.

  1002. Fabio Freschi. Multi-Objective Artificial Immune System for Optimization in Electrical Engineering, PhD thesis, Department of Electrical Engineering, Politecnico di Torino, Torino, Italy, 2006 .

  1003. Fabio Freschi and Maurizio Repetto. VIS: an artificial immune network for multi-objective optimization, Engineering Optimization, Vol. 38, No. 8, pp. 975--996, December 2006 .

  1004. Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank Neumann, and Carsten Witt. Approximating Covering Problems by Randomized Search Heuristics Using Multi-Objective Models, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 797--804, Vol. 1, ACM Press, London, UK, July 2007 .

  1005. 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.

  1006. Guangtao Fu, David Butler and Soon-Thiam Khu. Multiple objective optimal control of integrated urban wastewater systems, Environmental Modelling & Software, Vol. 23, No. 2, pp. 225--234, February 2008 .

  1007. 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.

  1008. 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.

  1009. Pablo Funes, Eric Bonabeau, Jér�´me 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.

  1010. 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.

  1011. Tomonari Furukawa. Parameter Identification with Weightless Regularization, International Journal for Numerical Methods in Engineering, Vol. 52, pp. 219--238, 2001.

  1012. Tomonari Furukawa and Gamini Dissanayake. Parameter identification of autonomous vehicles using multi-objective optimization, Engineering Optimization, Vol. 34, No. 4, pp. 369--395, 2002.

  1013. 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.

  1014. Tomonari Furukawa, Gamini Dissanayake and Hugh F. Durrant-Whyte. Application of Multi-Objective Evolutionary Algorithms in Autonomous Vehicles Navigation, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 125--153, World Scientific, Singapore, 2004.

  1015. Tomonari Furukawa, Chen Jian Ken Lee and John G. Michopoulos. Regularization for Parameter Identification Using Multi-Objective Optimization, in Yaochu Jin (Editor), Multi-Objective Machine Learning, pp. 125--149, Springer. Studies in Computational Intelligence, Volume 16, Berlin, 2006.

    1016. G

  1016. B. Gaal, I. Vassanyi and G. Kozmann. A novel artificial intelligence method for weekly dietary menu planning, Methods of Information in Medicine, Vol. 44, No. 5, pp. 655--664, 2005.

  1017. 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.

  1018. 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.

  1019. 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.

  1020. Caroline Gagné, Wilson L. Price, and Marc Gravel. Scheduling a Single Machine with Sequence Dependent Setup Time Using Ant Colony Optimization. Technical Report 2001-003, Faculté des Sciences de L'Administration, Université Laval, Québec, Canada, April 2001. Available on line .

  1021. 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.

  1022. J. Galuski and C.L. Bloebaum. Multi-objective Pareto concurrent subspace optimization for multidisciplinary design, AIAA Journal, Vol. 45, No. 8, pp. 1894--1906, August 2007 .

  1023. B. Galvan, G. Winter, D. Greiner, D. Salazar and M. Méndez. New Evolutionary Methodologies for Integrated Safety System Design and Maintenance Optimization, in Gregory Levitin (editor), Computational Intelligence in Reliability Engineering. Evolutionary Techniques in Reliability Analysis and Optimization, pp. 151--190, Springer, Heidelberg, 2007.

  1024. Luca Maria Gambardella, Éric Taillard, and Giovanni Agazzi. MACS-VRPTW: A Multiple Ant Colony System for Vehicle Routing Problems with Time Windows. In David Corne, Marco Dorigo, and Fred Glover, editors, New Ideas in Optimization, pages 63-76. McGraw-Hill, 1999.

  1025. Mark A. Gammon. Ship Hull Form Optimization by Evolutionary Algorithm, PhD thesis, Institute for Graduate Studies in Science and Engineering, Yildiz Technical University, Istanbul, Turkey, 2004 (abstract).

  1026. X. Gandibleux, N. Mezdaoui, and N. Fréville. A tabu search procedure to solve combinatorial optimisation problems. In R. Caballero, F. Ruiz, and R.E. Steuer, editors, Advances in Multiple Objective and Goal Programming, volume 455 of Lecture Notes in Economics and Mathematical Systems, pages 291-300. Springer-Verlag, 1997.

  1027. Xavier Gandibleux and Arnaud Freville. Tabu Search Based Procedure for Solving the 0-1 Multi-Objective Knapsack Problem: The Two Objectives Case. Journal of Heuristics, 6(3):361-383, August 2000.

  1028. Xavier Gandibleux, Hiroyuki Morita and Naoki Katoh. The Supported Solutions Used as a Genetic Information in a Population Heuristic. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 429--442. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.

  1029. 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 .

  1030. Xavier Gandibleux, Hiroyuki Morita and Naoki Katoh. Evolutionary Operators Based on Elite Solutions for Bi-Objective Combinatorial Optimization, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 555--579, World Scientific, Singapore, 2004.

  1031. 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 .

  1032. 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.

  1033. S. Ganguly, S. Datta and N. Chakraborti. Genetic Algorithms in Optimization of Strength and Ductility of Low-Carbon Steels, Materials and Manufacturing Processes, Vol. 22, No. 5, pp. 650--658, 2007 .

  1034. 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.

  1035. Nicolás García-Pedrajas, César Hervás-Martínez and Domingo Ortiz-Boyer. Cooperative Coevolution of Artificial Neural Network Ensembles for Pattern Classification, IEEE Transactions on Evolutionary Computation, Vol. 9, No. 3, pp. 271--302, June 2005 .

  1036. Nicolás García-Pedrajas. Cooperative Coevolution of Neural Networks and Ensembles of Neural Networks, in Yaochu Jin (Editor), Multi-Objective Machine Learning, pp. 465--490, Springer. Studies in Computational Intelligence, Volume 16, Berlin, 2006.

  1037. C. García-Martínez, O. Cordón and F. Herrera. A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP, European Journal of Operational Research, Vol. 180, No. 1, pp. 116--148, July 1, 2007 .

  1038. Jesus Garcia, Antonio Berlanga and Jose M. Molina. Evolutionary algorithms in multiply-specified engineering. The MOEAs and WCES strategies, Advanced Engineering Informatics, Vol. 21, No. 1, pp. 3--21, January 2007 .

  1039. 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.

  1040. Sanjeev Garg and Santosh K. Gupta. Multiobjective optimization of a free radical bulk polymerization reactor using genetic algorithm,Macromolecular Theory and Simulations, 8(1):46-53, 1999.

  1041. 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 .

  1042. 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 .

  1043. A. Gaspar-Cunha. Modelling and Optimisation of Single Screw Extrusion, PhD Thesis, University of Minho, Guimar�£es, Portugal, 2000 (abstract).

  1044. A. Gaspar-Cunha and J.A. Covas. Robustness in multi-objective optimization using evolutionary algorithms, Computational Optimization and Applications, Vol. 39, No. 1, pp. 75--96, January 2008 .

  1045. M. Gen, K. Ida, and Y. Li. Solving bicriteria solid transportation problem with fuzzy numbers by genetic algorithm. International Journal of Computers and Industrial Engineering, 29:537-543, 1995.

  1046. M.J. Geiger. Genetic Algorithms for Multiple Objective Vehicle Routing, in Jorge Pinho de Sousa (Editor), Proceedings of the 4th Metaheuristics International Conference (MIC'2001), pp. 349--354, Porto, Portugal, Program Operational Ciencia, Tecnologia, Inovaçao do Quadro Comunitário de Apoio III de Fundaçao para a Ciencia e Tecnologia, July 2001

  1047. Martin Josef Geiger and Sanja Petrovic. An Interactive Multicriteria Optimisation Approach to Scheduling, in Max Bramer and Vladan Devedzic (editors), Artificial Intelligence Applications and Innovations, pp. 475--484, Kluwer Academic Publishers, Boston/Dordrecht/London, 2004.

  1048. 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.

  1049. Martin Josef Geiger. On operators and search space topology in multi-objective flow shop scheduling, European Journal of Operational Research, Vol. 181, No. 1, pp. 195--206, August 16, 2007 .

  1050. Martin Josef Geiger and Wolf Wenger. On the Interactive Resolution of 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. 687--699, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  1051. Martin Josef Geiger, Wolf Wenger and Walter Habenicht. Interactive Utility Maximization in Multi-Objective Vehicle Routing Problems: A "Decision Maker in the Loop"-Approach, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 178--184, IEEE Press, Honolulu, Hawaii, USA, April 2007 .

  1052. Martin Josef Geiger. The Interactive Pareto Iterated Local Search (iPILS) Metaheuristic and its Application to de Biobjective Portfolio Optimization Problem, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 193--199, IEEE Press, Honolulu, Hawaii, USA, April 2007 .

  1053. Mitsuo Gen and Runwei Cheng. Genetic Algorithms and Engineering Design. John Wiley and Sons, Inc., New York, 1997.

  1054. 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.

  1055. 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.

  1056. Mitsuo Gen and Runwei Cheng. Genetic Algorithms and Engineering Optimization. Wiley Series in Engineering Design and Automation. John Wiley & Sons, New York, 2000.

  1057. Huantong Geng, Min Zhang, Linfeng Huang and Xufa Wang. Infeasible Elitists and Stochastic Ranking Selection in Constrained Evolutionary Multi-objective Optimization, in Tzai-Der Wang, Xiaodong Li, Shu-Heng Chen, Xufa Wang, Hussein Abbass, Hitoshi Iba, Guoliang Chen and Xin Yao (editors), Simulated Evolution and Learning, 6th International Conference, SEAL 2006, pp. 336--344, Springer. Lecture Notes in Computer Science Vol. 4247, Hefei, China, October 2006.

  1058. A. Gepperth and S. Roth. Applications of multi-objective structure optimization, Neurocomputing, Vol. 69, Nos. 7--9, pp. 701--713, March 2006 .

  1059. Alexander Rainer Tassilo Gepperth. Neural learning methods for visual object detection, PhD thesis, Fakultät für Physik und Astronomie, Ruhr-Universität Bochum, Germany, April 2006.

  1060. Paolo Geremia, Mauro Poian and Silvia Poles. Genetic Optimization for Yacht Design, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 2007--2012, Vol. 2, ACM Press, London, UK, July 2007 .

  1061. John S. Gero, Sushil J. Louis, and Sourav Kundu. Evolutionary learning of novel grammars for design improvement, Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 8:83-94, 1994.

  1062. John S. Gero and Sushil J. Louis. Improving Pareto Optimal Designs Using Genetic Algorithms, Microcomputers in Civil Engineering, 10(4):241-249, 1995.

  1063. 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 .

  1064. M.R. Gholamian, S.M.T.F. Ghomi and M. Ghazanfari. A hybrid systematic design for multiobjective market problems: a case study in crude oil markets, Engineering Applications of Artificial Intelligence, Vol. 18, No. 4, pp. 495--509, June 2005.

  1065. M.R. Gholamian, S.M.T. Fatemi Ghomi and M. Ghazanfari. A hybrid intelligent system for multiobjective decision making problems, Computers and Industrial Engineering, Vol. 51, No. 1, pp. 26--43, September 2006.

  1066. M.R. Gholamian, S.M.T. Fatemi Ghomi and M. Ghazanfari. A hybrid system for multiobjective problems - A case study in NP-hard problems, Knowledge-Based Systems, Vol. 20, No. 4, pp. 426--436, May 2007 .

  1067. A. Ghosh and B. Nath. Multi-objective rule mining using genetic algorithms, Information Sciences, Vol. 163, Nos. 1--3, pp. 123--133, June 14, 2004.

  1068. 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 .

  1069. 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 .

  1070. C. Gil, R. Baños, M.G. Montoya and J. Gómez. Performance of Simulated Annealing, Tabu Search, and Evolutionary Algorithms for Multi-objective Network Partitioning, Algorithmic Operations Research, Vol. 1, No. 1, pp. 55--64, 2006 .

  1071. C. Gil, A. Marquez, R. Baños, M.G. Montoya and J. Gomez. A hybrid method for solving multi-objective global optimization problems, Journal of Global Optimization, Vol. 38, No. 2, pp. 265--281, June 2007 .

  1072. M.K. Gill, Y.H. Kaheil, A. Khalil, M. Mckee and L. Bastidas. Multiobjective particle swarm optimization for parameter estimation in hydrology, Water Resources Research, Vol. 42, No. 7, Art. No. W07417, July 22, 2006 .

  1073. V. J. Gillet, W. Khatib, P. Willett, P.J. Fleming, and D.V.S. Green. Combinatorial library design using a multiobjective genetic algorithm, Journal of Chemical Information and Computer Sciences, Vol. 42, No. 2, pp. 375-385, March-April 2002.

  1074. V. Gineityte, B. Csukas, and S. Balogh. Combining genetic programming with generic simulation models in evolutionary synthesis. Computers in Industry, 36(3):181-197, June 1998.

  1075. 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.

  1076. O. Giustolisi, A. Doglioni, D.A. Savic and F. di Pierro. An evolutionary multiobjective strategy for the effective management of groundwater resources, Water Resources Research, Vol. 44 No. 1, article number W01403, January 3, 2008 .

  1077. 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.

  1078. 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.

  1079. 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 .

  1080. C. K. Goh and K. C. Tan. An Investigation on Noisy Environments in Evolutionary Multiobjective Optimization, IEEE Transactions on Evolutionary Computation, Vol. 11, No. 3, pp. 354--381, June 2007 .

  1081. Chi Keong Goh, Wei Ling Lim, Yong Han Chew and Kay Chen Tan. A Multi-Objective Evolutionary Algorithm for Channel Routing Problems, in Keshav P. Dahal, Kay Chen Tan and Peter I Cowling (editors), Evolutionary Scheduling, pp. 405--436, Springer, Studies in Computational Intelligence (SCI), Berlin, 2007, ISBN 3-540-48582-1 .

  1082. Chi Keong Goh and Kay Chen Tan. Evolving the Tradeoffs between Pareto-Optimality and Robustness in Multi-Objective Evolutionary Algorithms, in Shengxiang Yang, Yew Soon Ong and Yaochu Jin (editors), Evolutionary Computation in Dynamic and Uncertain Environments, pp. 457--478, Springer, 2007, ISBN 978-3-540-49772-1 .

  1083. C. K. Goh, K. C. Tan, C. Y. Cheong and Y. S. Ong. Noise-Induced Features in Robust Multi-Objective Optimization Problems, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 568--575, IEEE Press, Singapore, September 2007.

  1084. Mahmut Alí Gökçe. Optimization of Sourcing Decisions in Supply Chains, PhD thesis, Department of Industrial Engineering, North Carolina State University, 2002 (abstract) .

  1085. 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 .

  1086. David E. Goldberg. Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley Publishing Company, Reading, Massachusetts, 1989.

  1087. David E. Goldberg and Liwei Wang. Adaptive Niching via Coevolutionary Sharing, in D. Quagliarella, J. Périaux, C. Poloni and G. Winter (eds.), Genetic Algorithms and Evolution Strategies in Engineering and Computer Science. Recent Advances and Industrial Applications, chapter 2, pp. 21--38, John Wiley & Sons, Chichester, UK, 1998.

  1088. Robert Goldberg and Natalie Hammerman. Multi-criteria Optimization of Finite State Automata: Maximizing Performance while Minimizing Description Length, in Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors), Evolutionary Multiobjective Optimization: Theoretical Advances And Applications, pp. 255--271, Springer-Verlag, London, ISBN 1-85233-787-7, 2005 .

  1089. Yorgos Goletsis, Costas Papaloukas, Dimitrios I. Fotiadis, Aristidis Likas and Lampros K. Michalis. Automated Ischemic Beat Classification Using Genetic Algorithms and Multicriteria Decision Analysis, IEEE Transactions on Biomedical Engineering, Vol. 51, No. 10, pp. 1717--1725, October 2004.

  1090. 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.

  1091. 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.

  1092. I. Golovkin, R. Mancini, S. Louis, Y. Ochi, K. Fujita, H. Nishimura, H. Shirga, N. Miyanaga, H. Azechi, R. Butzbach, I. Uschmann, E. Förster, J. Delettrez, J. Koch, R.W. Lee and L. Klein. Spectroscopic Determination of Dynamic Plasma Gradients in Implosion Cores, Physical Review Letters, Vol. 88, No. 4, January 2002

  1093. 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

  1094. 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.

  1095. A.F. Gomez-Skarmeta, F. Jimenez and G. Sanchez. Improving interpretability in approximative fuzzy models via multiobjective evolutionary algorithms, International Journal of Intelligent Systems, Vol. 22, No. 9, pp. 943--969, September 2007 .

  1096. 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.

  1097. Carlos Gomes da Silva, João Clímaco and José Figueira. A scatter search method for the bi-criteria multi-dimensional {0,1}-knapsack problem using surrogate relaxation, Journal of Mathematical Modelling and Algorithms, Vol. 3, No. 3, pp. 183--208, 2004.

  1098. Carlos Gomes da Silva, João Clímaco and José Figueira. A scatter search method for bi-criteria {0,1}-knapsack problems, European Journal of Operational Research, Vol. 169, No. 2, pp. 373--391, March 1st, 2006 .

  1099. Carlos Gomes da Silva, José Figueira and João Clímaco. Integrating partial optimization with scatter search for solving bi-criteria {0,1}-knapsack problems, European Journal of Operational Research, Vol. 177, No. 3, pp. 1656--1677, March 16, 2007 .

  1100. 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 .

  1101. 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.

  1102. Maoguo Gong, Lining Zhang, Licheng Jiao and Shuiping Gou. Solving Multiobjective Clustering Using an Immune-inspired Algorithm, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 15--22, IEEE Press, Singapore, September 2007 .

  1103. 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.

  1104. Jesús González, Ignacio Rojas, Julio Ortega, Héctor Pomares and Antonio Fco. Díaz. Multiobjective Evolutionary Optimization of the Size, Shape and Position Parameters of Radial Basin Function Networks for Function Approximation, IEEE Transactions on Neural Networks, Vol. 14, No. 6, pp. 1478--1498, November 2003.

  1105. 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.

  1106. L.F. Gonzalez, J. Périaux, K. Srinivas and E.J. Whitney. Evolutionary Optimization Tools for Multi Objective Design in Aerospace Engineering: From Theory to MDO Applications, in William Annicchiarico, Jacques Périaux, Miguel Cerrolaza and Gabriel Winter (editors), Evolutionary Algorithms and Intelligent Tools in Engineering Optimization, pp. 268--293, WIT Press, CIMNE Barcelona, Southampton, Boston, 2005, ISBN 1-84564-038-1 .

  1107. 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 .

  1108. L.F. Gonzalez, J. Periaux, L. Damp and K. Srinivas. Evolutionary methods for multidisciplinary optimization applied to the design of UAV systems, Engineering Optimization, Vol. 39, No. 7, pp. 773--795, October 2007 .

  1109. Ramón González, Benjamín Barán and J. Ignacio Hidalgo. Multiobjective Optimization for the Circuit Partitioning Problem into Multiple Devices, in Southern Programmable Logic 07. Designer's Forum Workshop, pp 9--14, IEEE Press, Mar del Plata, Argentina, February 2007, ISBN: 84-611-4716-2 .

  1110. 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.

  1111. S.K. Goudos and J.N. Sahalos. Microwave absorber optimal design using multi-objective particle swarm optimization, Microwave and Optical Technology Letters, Vol. 48, No. 8, pp. 1553--1558, August 2006 .

  1112. S.K. Goudos, Z.D. Zaharis, M. Salazar-Lechuga, P.I. Lazaridis and P.B. Gallion. Dielectric Filter Optimal Design Suitable for Microwave Communications by using Multiobjective Evolutionary Algorithms, Microwave and Optical Technology Letters, Vol. 49, No. 10, pp. 2324--2329, October 2007 .

  1113. Sotirios K. Goudos. A versatile software tool for microwave planar radar absorbing materials design using global optimization algorithms, Materials and Design, Vol. 28, pp. 2585--2595, 2007 .

  1114. John Yannis Goulermas and Panos Liatsis. A Collective-Based Adaptive Symbiotic Model for Surface Reconstruction in Area-Based Stereo, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 5, pp. 482--502, October 2003 .

  1115. Darby E. Grande. Asset Replacement Considering Environmental and Economic Objectives, PhD thesis, Department of Industrial and Operations Engineering, The University of Michigan, 2004 (abstract) .

  1116. L. Grandinetti, F. Guerriero, G. Lepera and M. Mancini. A niched genetic algorithm to solve a pollutant emission reduction problem in the manufacturing industry: A case study, Computers & Operations Research, Vol. 34, No. 7, pp. 2191--2214, July 2007 .

  1117. Robin Gras. Structure des espaces de recherche, complexité des algorithmes d'optimisation combinatoire stochastique et applications à la bioinformatique, Habilitation à Diriger les Recherches, Université de Rennes I, France, December 2004 (In French).

  1118. Marc Gravel, Aaron Luntala Nsakanda and Wilson Price. Efficient solutions to the cell-formation problem with multiple routings via a double-loop genetic algorithm, European Journal of Operational Research, Vol. 109, pp. 286--298, 1998 .

  1119. Marc Gravel, Wilson L. Price, and Caroline Gagné. Scheduling Continuous Casting of Aluminum Using a Multiple-Objective Ant Colony Optimization Metaheuristic. Technical Report 2001-004, Faculté des Sciences de L'Administration, Université Laval, Québec, Canada, April 2001. Available on line.

  1120. Marc Gravel, Wilson L. Price, and Caroline Gagné. Scheduling continuous casting of aluminum using a multiple objective ant colony optimization metaheuristic, European Journal of Operational Research, Vol. 143, No. 1, pp. 218--229, November 2002.

  1121. 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 .

  1122. 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.

  1123. D. Greiner, G. Winter and J.M. Emperador. Optimising frame structures by different strategies of genetic algorithms, Finite Elements in Analysis and Design, Vol. 37, No. 5, pp. 381--402, May 2001.

  1124. 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 .

  1125. 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 .

  1126. D. Greiner, J.M. Emperador and G. Winter. Single and multiobjective frame optimization by evolutionary algorithms and the auto-adaptive rebirth operator, Computer Methods in Applied Mechanics and Engineering, Vol. 193,Nos. 33--35, pp. 3711--3743, 2004 .

  1127. D. Greiner, G. Winter, J.M. Emperador and B.Galván. A Comparative Analysis of "Controlled Elitism" in the NSGA-II Applied to Frame Optimization, in Tadeusz Burczyński and Andrzej Osyczka (editors), IUTAM Symposium on Evolutionary Methods in Mechanics, pp. 101--110, Kluwer Academic Publishers, Dordrecht/Boston/London, 2004, ISBN 1-4020-2266-2.

  1128. 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 .

  1129. David Juan Greiner Sánchez. Optimización Multiobjetivo de Pórticos Metálicos Mediante Algoritmos Evolutivos, PhD thesis, Universidad de las Plamas de Gran Canaria, Escuela Técnica Superior de Ingenieros Industriales, Departamentos de Informática y Sistemas, Matemática Aplicada e Ingeniería Civil, Las Palmas de Gran Canaria, Spain, May 2005 (in Spanish)(abstract in English) .

  1130. David Greiner, José M. Emperador, Gabriel Winter and Blas Galván. Improving Computational Mechanics Optimum Design Using Helper Objectives: An Application in Frame Bar Structures, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 575--589, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  1131. 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.

  1132. 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.

  1133. 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.

  1134. Pierre Grignon and G. M. Fadel. Bi-objective Optimization by Iterative Genetic Algorithms. In EURO-INFORMS conference, Barcelona, Spain, July 1997.

  1135. Pierre M. Grignon. Configuration Design, PhD thesis, Mechanical Engineering Department, Clemson University, Clemson, SC, May 1999.

  1136. 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.

  1137. 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.

  1138. P.M. Grignon and G.M. Fadel, A GA based configuration design optimization method, Journal of Mechanical Design, Vol. 126, No. 1, pp. 6--15, January 2004.

  1139. 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 .

  1140. 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 .

  1141. Christian Grimme, Joachim Lepping, and Alexander Papaspyrou. Exploring the Behavior of Building Blocks for Multi-Objective Variation Operator Design using Predator-Prey Dynamics, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 805--812, Vol. 1, ACM Press, London, UK, July 2007 .

  1142. 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.

  1143. J.C.J. Groot, W.A.H. Rossing, A. Jellema, D.J. Stobbelaar, H. Renting and M.K. Van Ittersum. Exploring multi-scale trade-offs between nature conservation, agricultural profits and landscape quality--a methodology to support discussions on land-use perspectives, Agriculture Ecosystems & Environment, Vol. 120, pp. 58--69, 2007 .

  1144. R. Groppetti and R. Muscia. On a Genetic Multiobjective Approach for the Integration and Optimization of Assembly Product Design and Process Planning. In P. Chedmail, J. C. Bocquet, and D. Dornfeld, editors, Integrated Design and Manufacturing in Mechanical Engineering, pages 61-70. Kluwer Academic Publishers, The Netherlands, 1997.

  1145. 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.

  1146. 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.

  1147. 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.

  1148. Crina Grosan. A Comparison of Several Evolutionary Models and Representations for Multiobjective Optimization, in Nadia Nedjah and Luiza de Macedo Mourelle (editors), Real-World Multi-Objective System Engineering, pp. 53--73, Nova Science Publishers, New York, 2005.

  1149. Crina Grosan, Ajith Abraham and Alexander Gelbukh. Evolutionary Method for Nonlinear Systems of Equations, in Alexander Gelbukh and Carlos Alberto Reyes-Garcia (editors), MICAI 2006: Advances in Artificial Intelligence, 5th Mexican International Conference on Artificial Intelligence, pp. 283--293, Springer, Lecture Notes in Artificial Intelligence Vol. 4293, Apizaco, Mexico, November 2006 .

  1150. 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.

  1151. 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.

  1152. Sheng-Uei Guan and Shu Zhang. An Evolutionary Approach to the Design of Controllable Cellular Automata Structure for Random Number Generation, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 1, pp. 23--36, February 2003 .

  1153. P.-Y. Gueugniaud, M. Bertin-Maghit, C. Hirschauer, C. Bouchard, B. Vilasco, P. Petit, M. Gen, K. Ida, J. Lee, and J. Kim. Fuzzy Nonlinear Goal Programming Using Genetic Algorithm. Computers & Industrial Engineering, 33(1):39-42, October 1997.

  1154. 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.

  1155. Ângela Guimarães Pereira, G. Munda, and M. Pariccini. Generating alternatives for siting retail and service facilities using genetic algorithms and multiple criteria devision techniques. Journal of Retailing and Consumer Services, 1(2):40-47, 1994.

  1156. 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.

  1157. Ângela Guimarães Pereira. Generating alternative routes by multicriteria evaluation and a genetic algorithms. Environment and Planning B: Planning and Design, 23:711-720, 1996.

  1158. Ângela Cristina Martinho Guimarães Pereira. Extending Environmental Impact Assessment Processes: Generation of Alternatives for Siting and Routing Infraestructural Facilities by Multi-Criteria Evaluation and Genetic Algorithms. PhD thesis, New University of Lisbon, Lisbon, Portugal, 1997.

  1159. Frederico G. Guimarães, Felipe Campelo, Rodney R. Saldanha, Hajime Igarashi, Ricardo H.C. Takahashi and Jaime A. Ramírez. A Multiobjective Proposal for the TEAM Benchmark Problem 22, IEEE Transactions on Magnetics, Vol. 42, No. 4, pp. 1471--1474, April 2006 .

  1160. Frederico G. Guimarães, Reinaldo M. Palhares, Felipe Campelo and Hajime Igarashi. Design of mixed H-2/H infinity control systems using algorithms inspired by the immune system, Information Sciences, Vol. 177, No. 20, pp. 4368--4386, October 15, 2007 .

  1161. 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 .

  1162. S. Gunawan, A. Farhang-Mehr and S. Azarm. On maximizing solution diversity in a multiobjective multidisciplinary genetic algorithm for design optimization, Mechanics Based Design of Structures and Machines, Vol. 32, No. 4, pp. 491--514, November 2004.

  1163. S. Gunawan and S. Azarm. Multi-objective robust optimization using a sensitivity region concept, Structural and Multidisciplinary Optimization, Vol. 29, No. 1, pp. 50--60, January 2005 .

  1164. 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 .

  1165. Michael Guntsch. Ant Algorithms in Stochastic and Multi-Criteria Environment, PhD thesis, Department of Economics and Business Engineering, University of Karlsruhe, Germany, 2004.

  1166. 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 .

  1167. Y. Guo, G.A. Walters, S. T. Khu and E. Keedwell. A novel cellular automata based approach to storm sewer design, Engineering Optimization, Vol. 39, No. 3, pp. 345--364, April 2007 .

  1168. Yufeng Guo, Edward C. Keedwell, Godfrey A. Walters and Soon-Thiam Khu. Hybridizing Cellular Automata Principle and NSGAII for Multi-objective Design of Urban Water Networks, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 546--559, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  1169. Liu Guoquan. Modelling and Scheduling of Hetereogeneous Computing Systems, PhD thesis, Department of Industrial and Systems Engineering, National University of Singapore, Singapore, 2005 (abstract).

  1170. H. V. Gupta, S. Sorroshian, and P. O. Yapo. Towards Improved Calibration of Hydrologic Models: Multiple and Non-Commensurable Measures of Information. Water Resources Research, 34(4):751-763, 1998.

  1171. 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.

  1172. M. Gupta, J. Rees, A. Chaturvedi and J. Chi. Matching information security vulnerabilities to organizational security profiles: a genetic algorithm approach, Decision Support Systems, Vol. 41, No. 3, pp. 592--603, March 2006 .

  1173. C. Guria, M. Verma, S.P. Mehrotra and S.K. Gupta. Multi-objective optimal synthesis and design of froth flotation circuits for mineral processing, using the jumping gene adaptation of genetic algorithm, Industrial & Engineering Chemistry Research, Vol. 44, No. 8, pp. 2621--2633, April 13, 2005 .

  1174. C. Guria, P.K. Bhattacharya and S.K. Gupta. Multi-objective optimization of reverse osmosis desalination units using different adaptations of the non-dominated sorting genetic algorithm (NSGA), Computers & Chemical Engineering, Vol. 29, No. 9, pp. 1977--1995, August 15, 2005 .

  1175. C. Guria, M. Verma, S.K. Gupta and S.P. Mehrotra. Simultaneous optimization of the performance of flotation circuits and their simplification using the jumping gene adaptations of genetic algorithm, International Journal of Mineral Processing, Vol. 77, No. 3, pp. 165--185, November 2005 .

  1176. Chandan Guria, Mohan Varma, Surya P. Mehrotra and Santosh K. Gupta. Simultaneous optimization of the performance of flotation circuits and their simplification using the jumping gene adaptations of genetic algorithm-II: More complex problems, International Journal of Mineral Processing, Vol. 79, No. 3, pp. 149--166, June 2006.

  1177. Ashwin Gurnani, Scott Ferguson, Kemper Lewis and Joseph Donndelinger. A constraint-based approach to feasibility assessment in preliminary design, AI EDAM-Artificial Intelligence for Engineering Design Analysis and Manufacturing, Vol. 20, No. 4, pp. 351--367, Fall 2006.

  1178. 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.

  1179. 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.

  1180. H. Altay Güvenir and E. Erel. Multicriteria inventory classification using a genetic algorithm. European Journal of Operational Research, 105(1):29-37, February 1998.

  1181. Emmanuel Guy and Jean-Philippe Vacher. Application des algorithmes génétiques à l'ordonnancement d'atelier de type job-shop. Master's thesis, Ecole Supérieure d'Ingénieurs en Génie Electrique, 1996. (In French).

    1182. H

  1182. Charles R. Haag. An Artificial Immune System-inspired Multiobjective Evolutionary Algorithm with Application to the Detection of Distributed Computer Network Intrusions, Masters thesis, Department of Electrical and Computer Engineering, Graduate School of Engineering and Management, Air Force Institute of Technology (AFIT), WPAFB, Dayton, Ohio, USA, March 2007 .

  1183. Charles R. Haag, Gary B. Lamont, Paul D. Williams and Gilbert L. Peterson. An Artificial Immune System-Inspired Multiobjective Evolutionary Algorithm with Application to the Detection of Distributed Computer Network Intrusions, in Leandro Nunes de Castro and Fernando José Von Zuben and Helder Knidel (editors), Artificial Immune Systems, 6th International Conference, ICARIS 2007, pp. 420--435, Springer. Lecture Notes in Computer Science Vol. 4628, Santos, Brazil, August 2007.

  1184. 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.

  1185. 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.

  1186. 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 .

  1187. 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.

  1188. P. Hajela and C. Y. Lin. Genetic search strategies in multicriterion optimal design. Structural Optimization, 4:99-107, 1992.

  1189. 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 .

  1190. Sonia Hajri-Gabouj, A fuzzy genetic multiobjective optimization algorithm for a multilevel generalized assignment problem, IEEE Transactions on Systems, Man, and Cybernetics, Part C---Applications and Reviews, Vol. 33, No. 2, pp. 214--224, May 2003 .

  1191. 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.

  1192. D. Halhal, G. A. Walters, D. Ouazar, and D. A. Savic. Multi-objective improvement of water distribution systems using a structured messy genetic algorithm approach, Journal of Water Resources Planning and Management ASCE, 123(3):137-146, 1997.

  1193. 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 .

  1194. 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.

  1195. 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.

  1196. Nasreddine Hallan, Graham Kendall and Peter Blanchfield. Solving Multi-objective Optimisation Problems Using the Potential Pareto Regions Evolutionary Algorithm, in Thomas Philip Runarsson, Hans-Georg Beyer, Edmund Burke, Juan J. Merelo-Guervós, L. Darrell Whitley and Xin Yao (editors), Parallel Problem Solving from Nature - PPSN IX, 9th International Conference, pp. 503--512, Springer. Lecture Notes in Computer Science Vol. 4193, Reykjavik, Iceland, September 2006 .

  1197. Mark Hampsey. Multiobjective Evolutionary Optimisation of Small Wind Turbine Blades, PhD thesis, Department of Mechanical Engineering, University of Newcastle, Australia, August 2002 (abstract).

  1198. 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 .

  1199. 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.

  1200. 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.

  1201. 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.

  1202. S.I. Han, I. Muta, T. Hoshino, T. Nakamura and N. Maki. Optimal design of superconducting generator using genetic algorithm and simulated annealing, IEE Proceedings--Electric Power Applications, Vol. 151, No. 5, pp. 543--554, September 2004.

  1203. 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.

  1204. Kyungtae Han. Automatic transformations from floating-point to fixed-point for implementing digital signal processing algorithms, PhD thesis, The University of Texas at Austin, August 2006 (abstract) .

  1205. 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.

  1206. Julia Handl and Joshua Knowles. Multiobjective clustering with automatic determination of the number of clusters, Technical Report No. TR-COMPSYSBIO-2004-02, UMIST, Department of Chemistry, August 2004.

  1207. 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 .

  1208. 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.

  1209. 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.

  1210. Julia Karena Handl. Multiobjective approaches to the data-driven analysis of biological systems, PhD thesis, School of Chemistry, Faculty of Engineering and Physical Sciences, The University of Manchester, UK, 2006 (abstract) .

  1211. Julia Handl and Joshua Knowles. Feature Subset Selection in Unsupervised Learning via Multiobjective Optimization, International Journal of Computational Intelligence Research, Vol. 2, No. 3, pp. 217--238, 2006 .

  1212. 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 .

  1213. Julia Handl and Joshua Knowles. Multi-Objective Clustering and Cluster Validation, in Yaochu Jin (Editor), Multi-Objective Machine Learning, pp. 21--47, Springer. Studies in Computational Intelligence, Volume 16, Berlin, 2006.

  1214. 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.

  1215. Julia Handl and Joshua Knowles. An Evolutionary Approach to Multiobjective Clustering, IEEE Transactions on Evolutionary Computation, Vol. 11, No. 1, pp. 56--76, February 2007 .

  1216. Julia Handl, Douglas B. Kell and Joshua Knowles. Multiobjective optimization in bioinformatics and computational biology, IEEE-ACM Transactions on Computational Biology and Bioinformatics, Vol. 4, No. 2, pp. 279--292, April-June 2007 .

  1217. Julia Handl and Joshua Knowles. Modes of Problem Solving with Multiple Objectives: Implications for Interpreting the Patero Set and for Decision Making , in Joshua Knowles, David Corne and Kalyanmoy Deb (Editors), Multi-Objective Problem Solving from Nature: From Concepts to Applications, pp. 131--151, Springer, Berlin, 2008, ISBN 978-3-540-72963-1 .

  1218. 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.

  1219. Thomas Hanne. On the convergence of multiobjective evolutionary algorithms. European Journal of Operational Research, 117(3):553-564, 1999.

  1220. Thomas Hanne. Global Multiobjective Optimization Using Evolutionary Algorithms. Journal of Heuristics, 6(3):347-360, August 2000.

  1221. Thomas Hanne. Global Multiobjective Optimization with Evolutionary Algorithms: Selection Mechanisms and Mutation Control. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 197-212. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 .

  1222. Thomas Hanne. Intelligent Strategies for Meta Multiple Criteria Decision Making, Kluwer Academic Publishers, Boston, 2001.

  1223. T. Hanne and S. Nickel. A multiobjective evolutionary algorithm for scheduling and inspection planning in software development projects, European Journal of Operational Research, Vol. 167, No. 3, pp. 663--678, December 16, 2005 .

  1224. Thomas Hanne. A multiobjective evolutionary algorithm for approximating the efficient set, European Journal of Operational Research, Vol. 176, No. 3, pp. 1723--1734, February 1, 2007 .

  1225. Michael Pilegaard Hansen. Tabu Search in Multiobjective Optimisation : MOTS. In Proceedings of MCDM'97, Cape Town, South Africa, January 1997.

  1226. Michael Pilegaard Hansen. Generating a Diversity of Good Solutions to a Practical Combinatorial Problem using Vectorized Simulated Annealing. Technical report, Institute of Mathematical Modelling, Technical University of Denmark, August 1997. Working Paper.

  1227. Michael Pilegaard Hansen. Metaheuristics for multiple objective combinatorial optimization. PhD thesis, Institute of Mathematical Modelling, Technical University of Denmark, March 1998.

  1228. M.P. Hansen. Tabu search for multiobjective combinatorial optimization: TAMOCO, Control and Cybernetics, Vol. 29, No. 3, pp. 799--818, 2000.

  1229. Michael Pilegaard Hansen. Use of Substitute Scalarizing Functions to Guide a Local Search Based Heuristic: The Case of moTSP, Journal of Heuristics, Vol. 6, pp. 419--431, 2000.

  1230. M. Hapke, A. Jaszkiewicz, and R. Slowinski. Fuzzy multi-mode resource-constrained project scheduling with multiple objectives. In J. Weglarz, editor, Recent Advances in Project Scheduling, chapter 16, pages 355-382. Kluwer Academic Publishers, 1998.

  1231. Maciej Hapke, Andrzej Jaszkiewicz, and Roman Slowinski. Pareto Simulated Annealing for Fuzzy Multi-Objective Combinatorial Optimization,Journal of Heuristics, 6(3):329-345, August 2000.

  1232. 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 .

  1233. 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 .

  1234. 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 .

  1235. Ken Harada, Jun Sakuma, and Shigenobu Kobayashi. Uniform Sampling of Local Pareto-Optimal Solution Curves by Pareto Path Following and its Applications in Multi-objective GA, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 813--820, Vol. 1, ACM Press, London, UK, July 2007 .

  1236. Oscar Harari, Cristina Rubio-Escudero and Igor Zwir. Targeting Differentially Co-regulated Genes by Multiobjective and Multimodal Optimization, in Elena Marchiori, Jason H. Moore and Jagath C. Rajapakse (editors), Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, 5th European Conference, EvoBIO 2007, pp. 68--77, Springer. Lecture Notes in Computer Science Vol. 4447, Valencia, Spain, April 2007 .

  1237. Mark Harman, Kiran Lakhotia, and Phil McMinn. A Multi-Objective Approach To Search-Based Test Data Generation, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 1098--1105, Vol. 1, ACM Press, London, UK, July 2007 .

  1238. Mark Harman and Laurence Tratt. Pareto Optimal Search Based Refactoring at the Design Level, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 1106--1113, Vol. 1, ACM Press, London, UK, July 2007 .

  1239. Stephen P. Harris and Emmanuel C. Ifeachor. Nonlinear FIR Filter Design by Genetic Algorithm, In 1st Online Conference on Soft Computing, August 1996.

  1240. Z. Harth, H. Sun and M. Schafer. Comparison of trust-region-based and evolutionary methods for optimization of flow geometries, Engineering Optimization, Vol. 39, No. 7, pp. 797--810, October 2007 .

  1241. 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.

  1242. John W. Hartmann, Victoria L. Coverstone-Carroll, and Steven N. Williams. Optimal Interplanetary Spacecraft Trajectories via a Pareto Genetic Algorithm. The Journal of the Astronautical Sciences, 46(3):267-282, July-September 1998.

  1243. John W. Hartmann. Low-thrust Trajectory Optimization Using Stochastic Optimization Methods,Master's thesis, Department of Aeronautical and Astronautical Engineering, University of Illinois at Urbana-Champaign, January 1999.

  1244. 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 .

  1245. 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.

  1246. 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 .

  1247. Toshiharu Hatanaka, Nobuhiko Kondo and Katsuji Uosaki. Multi-Objective Structure Selection for RBF Networks and Its Application to Nonlinear System Identification, in Yaochu Jin (Editor), Multi-Objective Machine Learning, pp. 491--505, Springer. Studies in Computational Intelligence, Volume 16, Berlin, 2006.

  1248. 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 .

  1249. 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 .

  1250. Christian Haubelt, Sanaz Mostaghim, Frank Slomka, Jürgen Teich and Ambrish Tyagi. Hierarchical Synthesis of Embedded Systems using Evolutionary Algorithms, in Rolf Drechsler and Nicole Drechsler (editors), Evolutionary Algorithms for Embedded System Design, pp. 63--104, Kluwer Academic Publishers, Boston/Dordrecht/London, 2003 .

  1251. 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.

  1252. Christian Haubelt, Thomas Schlichter and Jürgen Teich. Improving Automatic Design Space Exploration by Integrating Symbolic Techniques into Multi-Objective Evolutionary Algorithms, International Journal of Computational Intelligence Research, Vol. 2, No. 3, pp. 239--254, 2006 .

  1253. Yuping He. Design of Rail Vehicles with Passive and Active Suspensions Using Multidisciplinary Optimization, Multibody Dynamics, and Genetic Algorithms, PhD thesis, University of Waterloo, Waterloo, Ontario, Canada, 2003 (abstract).

  1254. 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.

  1255. Song Hengjie, Miao Chunyan, and Shen Zhiqi. Fuzzy Cognitive Map Learning Based on Multi-Objective Particle Swarm Optimization, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 339, Vol. 1, ACM Press, London, UK, July 2007 .

  1256. M.H. Hennessy and A.M. Kelley. Using real-valued multi-objective genetic algorithms to model molecular absorption spectra and Raman excitation profiles in solution, Physical Chemistry Chemical Physics, Vol. 6, No. 6, pp. 1085--1095, March 21, 2004.

  1257. A. Heredia-Langner, D.C. Montgomery and W.M. Carlyle. Solving a multistage partial inspection problem using genetic algorithms, International Journal of Production Research, Vol. 40, No. 8, pp. 1923--1940, 2002

  1258. 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).

  1259. 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 .

  1260. 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 .

  1261. Arturo Hernández Aguirre, Salvador Botello Rionda, Giovanni Lizárraga Lizárraga and Carlos Coello Coello. IS-PAES: Multiobjective Optimization with Efficient Constraint Handling, in Tadeusz Burczyski and Andrzej Osyczka (editors), IUTAM Symposium on Evolutionary Methods in Mechanics, pp. 111--120, Kluwer Academic Publishers, Dordrecht/Boston/London, 2004, ISBN 1-4020-2266-2.

  1262. Arturo Hernández Aguirre, Salvador Botello Rionda, Carlos A. Coello Coello, Giovanni Lizárraga Lizárraga, and Efrén Mezura Montes. Handling Constraints using Multiobjective Optimization Concepts, International Journal for Numerical Methods in Engineering, Volume 59, No. 15, pp. 1989--2017, April 2004.

  1263. 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 .

  1264. Alfredo G. Hernández-Díaz, Luis V. Santana-Quintero, Carlos A. Coello Coello and Julián Molina. Pareto-adaptive epsilon-dominance, Evolutionary Computation, Vol. 15, No. 4, pp. 493--517, Winter 2007 .

  1265. J.M. Herrero, X. Blasco, M. Martinez, C. Ramos and J. Sanchis. Non-linear robust identification of a greenhouse model using multi-objective evolutionary algorithms, Biosystems Engineering, Vol. 98, No. 3, pp. 335--346, 2007.

  1266. J.M. Herrero, X. Blasco, M. Martinez, C. Ramos and J. Sanchis. Robust identification of non-linear greenhouse model using evolutionary algorithms, Control Engineering Practice, Vol. 16, No. 5, pp. 515--530, May 2008 .

  1267. 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.

  1268. 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.

  1269. Alberto Herreros López. Diseño de Controladores Robustos Multiobjetivo por Medio de Algoritmos Genéticos, PhD thesis, Departamento de Ingeniería de Sistemas y Automática, Universidad de Valladolid, Valladolid, España, Septiembre 2000. (In Spanish) (abstract in English).

  1270. Alberto Herreros, Enrique Baeyens and José R. Peran. MRCD: A Genetic Algorithm for Multiobjective Robust Control Design,Engineering Applications of Artificial Intelligence, Vol. 15, Nos. 3--4, pp. 285--301, June-August 2002.

  1271. Alain Hertz, Brigitte Jaumard, C.C. Ribeiro, and W.P. Formosinho Filho. A multi-criteria tabu search approach to cell formation problems in group technology with multiple objectives. RAIRO/Operations Research, 28(3):303-328, 1994.

  1272. Magnus Lie Hetland and Pal Saetrom. Evolutionary Rules Mining in Time Series Databases, Machine Learning, Vol. 58, Nos. 2--3, pp. 107--125, February-March 2005.

  1273. Tomoyouki Higashihara and Masayasu Atsumi. Evolutionary Acquisition of Sensory--Action Network of Mobile Robot using Multiobjective Genetic Algorithm, IPSJ SIG-ICS, 98-ICS-111:1-6, 1998. In Japanese.

  1274. M. R. Hilliard, G. E. Liepins, M. Palmer, and G. Rangarajen. The computer as a partner in algorithmic design: Automated discovery of parameters for a multiobjective scheduling heuristic. In R. Sharda, B. L. Golden, E. Wasil, O. Balci, and W. Stewart, editors, Impacts of Recent Computer Advances on Operations Research. North-Holland Publishing Company, New York, 1989.

  1275. 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.

  1276. Philip Hingston, Luigi Barone, Simon Huband and Lyndon While. Multi-level Ranking for Constrained Multi-objective Evolutionary Optimisation, in Thomas Philip Runarsson, Hans-Georg Beyer, Edmund Burke, Juan J. Merelo-Guervós, L. Darrell Whitley and Xin Yao (editors), Parallel Problem Solving from Nature - PPSN IX, 9th International Conference, pp. 563--572, Springer. Lecture Notes in Computer Science Vol. 4193, Reykjavik, Iceland, September 2006 .

  1277. Jean-Laurent Hippolyte, Christelle Boch, Pascal Chatonnay, Christophe Espanet and Didier Chamagne. A Self-Adaptive Multiagent Evolutionary Algorithm for Electrical Machine Design, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO'2007), pp. 1250--1255, Vol. 2, ACM Press, London, UK, July 2007.

  1278. 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.

  1279. 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.

  1280. 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.

  1281. Tomoyuki Hiroyasu, Mitsunori Miki, Jiro Kamiura, Shinya Watanabe and Hiro Hiroyasu. MOGADES: Multi-Objective Genetic Algorithm with Distributed Environment Scheme, in Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors), Evolutionary Multiobjective Optimization. Theoretical Advances and Applications, pp. 201--227, Springer, USA, 2005 .

  1282. 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 .

  1283. 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.

  1284. Tomoyuki Hiroyasu, Kengo Yoshii, and Mitsunori Miki. Discussion of Parallel Model of Multi-Objective Genetic Algorithms on Heterogeneous Computational Resources, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 904, Vol. 1, ACM Press, London, UK, July 2007 .

  1285. 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 .

  1286. Shinn-Ying Ho and Hui-Ling Huang. Facial modeling from an uncalibrated face image using a coarse-to-fine genetic algorithm, Pattern Recognition, Vol. 34, pp. 1015--1031, 2001.

  1287. S.L. Ho, S.Y. Yang, G.Z. Ni and H.C. Wong. A Tabu Method to Find the Pareto Solutions of Multiobjective Optimal Design Problems in Electromagnetics, IEEE Transactions on Magnetics, Vol. 38, No. 2, pp. 1013--1016, Part 1, March 2002 .

  1288. Shinn-Ying Ho, Li-Sun Shu and Jian-Hung Chen. Intelligent Evolutionary Algorithms for Large Parameter Optimization Problems, IEEE Transactions on Evolutionary Computation, Vol. 8, No. 6, pp. 522--541, 2004.

  1289. S.L. Ho, Shiyou Yang, Guangzheng Ni, Edward W.C. Lo and H.C. Wong. A Particle Swarm Optimization-Based Method for Multiobjective Design Optimizations, IEEE Transactions on Magnetics, Vol. 41, No. 5, pp. 1756--1759, May 2005 .

  1290. 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 .

  1291. S.L. Ho, S.Y. Yang, G.Z. Ni and K.F. Wong. An efficient multiobjective optimizer based on genetic algorithm and approximation techniques for electromagnetic design, IEEE Transactions on Magnetics, Vol. 43, No. 4, pp. 1605--1608, April 2007 .

  1292. Nhu Binh Ho and Joc Cing Tay. Using Evolutionary Computation and Local Search for Solving Multi-objective Flexible Job Shop Problems, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 821--828, Vol. 1, ACM Press, London, UK, July 2007 .

  1293. B.M. Hodge, F. Pettersson and N. Chakraborti. Re-evaluation of the optimal operating conditions for the primary end of an integrated steel plant using multi-objective genetic algorithms and Nash equilibrium, Steel Research International, Vol. 77, No. 7, pp. 459--461, July 2006 .

  1294. 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 .

  1295. Peter Michael Hollingsworth. Requirements Controlled Design: A Method for Discovery of Discontinuous System Boundaries in the Requirements Hyperspace, PhD thesis, Georgia Institute of Technology, School of Aerospace Engineering, March 2004 (abstract).

  1296. 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.

  1297. Hirosuke Horii. Parallelization of Genetic Algorithms and Application to Multi-objective Optimization Problem, PhD Thesis, School of Information Science, Japan Advanced Institute of Science and Technology, Ishikawa, Japan, March 2002.

  1298. 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.

  1299. Jeffrey Horn and Nicholas Nafpliotis. Multiobjective Optimization using the Niched Pareto Genetic Algorithm, Technical Report IlliGAl Report 93005, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA, 1993.

  1300. 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.

  1301. Jeffrey Horn. The Nature of Niching: Genetic Algorithms and the Evolution of Optimal, Cooperative Populations, PhD thesis, University of Illinois at Urbana Champaign, Urbana, Illinois, 1997.

  1302. Jeffrey Horn. Multicriterion Decision Making, in Thomas Bäck, David Fogel and Zbigniew Michalewicz (editors), Handbook of Evolutionary Computation, pp. F1.9:1 - F1.9:15, Vol. 1, IOP Publishing Ltd. and Oxford University Press, 1997.

  1303. 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 .

  1304. 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 .

  1305. 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 .

  1306. Weifeng Hou, Hongye Su, Shengjing Mu and Jian Chu. Multiobjective optimization of the industrial naphtha catalytic reforming process, Chinese Journal of Chemical Engineering, Vol. 15, No. 1, pp. 75--80, February 2007.

  1307. Chao-Tsung Hsiao, Georges Chahine and Nail Gumerov. Application of a Hybrid Genetic/Powell Algorithm and a Boundary Element to Electrical Impedance Tomography, Journal of Computational Physics, Vol. 173, No. 2, pp. 433--454, November 2001.

  1308. Chih-Ming Hsu and Chao-Ton Su. Multi-objective machine-component grouping in cellular manufacturing: a genetic algorithm, Production Planning and Control, Vol. 9, No. 2, pp. 155--166, 1998.

  1309. 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.

  1310. 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

  1311. 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 .

  1312. 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 .

  1313. 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 .

  1314. 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 .

  1315. 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.

  1316. 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.

  1317. 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.

    1318. Xiaolin Hu, Applications of Evolutionary Computation in Hybrid Propulsion System Optimization, Masters thesis, Wuhan University of Technology, Wuhan, China, May 2004 (abstract in English) (in Chinese).

  1318. Xiaolin Hu, Carlos A. Coello Coello and Zhangcan Huan. A New Multi-Objective Evolutionary Algorithm Derived from the Line-Up Competition Algorithm,Engineering Optimization, Vol. 37, No. 4, pp. 351--379, June 2005 .

  1319. X. B. Hu and E. Di Paolo. An Efficient Genetic Algorithm with Uniform Crossover for the Multi-Objective Airport Gate Assignment Problem, 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 55--62, IEEE Press, Singapore, September 2007 .

  1320. J.J. Huang, G.H. Tzeng and C.S. Ong. Optimal fuzzy multi-criteria expansion of competence sets using multi-objectives evolutionary algorithms, Expert Systems with Applications, Vol. 30, No. 4, pp. 739--745, May 2005.

  1321. V.L. Huang, P.N. Suganthan and J.J. Liang.Comprehensive learning particle swarm optimizer for solving multiobjective optimization problems, International Journal of Intelligent Systems, Vol. 21, No. 2, pp. 209--226, February 2006 .

  1322. H.Z. Huang, Y.K. Gu and X.P. Du. An interactive fuzzy multi-objective optimization method for engineering design, Engineering Applications of Artificial Intelligence, Vol. 19, No. 5, pp. 451--460, August 2006 .

  1323. Hong-Zhong Huang, Zhigang Tian and Ming J. Zuo. Intelligent Interactive Multiobjective Optimization of System Reliability, in Gregory Levitin (editor), Computational Intelligence in Reliability Engineering. Evolutionary Techniques in Reliability Analysis and Optimization, pp. 215--236, Springer, Heidelberg, 2007.

  1324. B. Huang, P. Fery, L. Xue and Y. Wang. Seeking the Pareto front for multiobjective spatial optimization problems, International Journal of Geographical Information Science, Vol. 22, No. 5, pp. 507--526, 2008 .

  1325. 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 .

  1326. 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 .

  1327. 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.

  1328. Simon Huband, Phil Hingston, Luigi Barone and Lyndon While. A Review of Multiobjective Test Problems and a Scalable Test Problem Toolkit, IEEE Transactions on Evolutionary Computation, Vol. 10, No. 5, pp. 477--506, October 2006 .

  1329. 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.

  1330. R.M. Hubley, E. Zitzler and J.C. Roach, Evolutionary algorithms for the selection of single nucleotide polymorphisms, BMC Bioinformatics, Vol. 4, Art. No. 30, July 23, 2003 .

  1331. Evan James Hughes. Radar Cross Section Modelling Using Genetic Algorithms, PhD thesis, Department of Aerospace, Power, & Sensors, Cranfield University, Royal Military College of Science, Shrivenham, UK, May 1998 (abstract).

  1332. Evan J. Hughes. Multi-Objective Probabilistic Selection Evolutionary Algorithm. Technical Report DAPS/EJH/56/2000, Department of Aerospace, Power, & Sensors, Cranfield University, RMCS, Shrivenham, UK, SN6 8LA, September 2000 .

  1333. Evan J. Hughes and Maurice Leyland. Using Multiple Genetic Algorithms to Generate Radar Point-Scatterer Models, IEEE Transactions on Evolutionary Computation, Vol. 4, No. 2, pp. 147--163, July 2000.

  1334. Evan J. Hughes. Evolutionary Multi-objective Ranking with Uncertainty and Noise. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 329-343. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.

  1335. 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.

  1336. 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.

  1337. 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.

  1338. 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.

  1339. 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 .

  1340. 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 .

  1341. 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.

  1342. 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.

  1343. Evan J. Hughes. Multi-Objective Equivalent Random Search, in Thomas Philip Runarsson, Hans-Georg Beyer, Edmund Burke, Juan J. Merelo-Guervós, L. Darrell Whitley and Xin Yao (editors), Parallel Problem Solving from Nature - PPSN IX, 9th International Conference, pp. 463--472, Springer. Lecture Notes in Computer Science Vol. 4193, Reykjavik, Iceland, September 2006 .

  1344. Evan J. Hughes. Radar Waveform Optimisation as a Many-Objective Application Benchmark, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 700--714, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007.

  1345. Evan J. Hughes. Fitness Assignment Methods for Many-Objective Problems , in Joshua Knowles, David Corne and Kalyanmoy Deb (Editors), Multi-Objective Problem Solving from Nature: From Concepts to Applications, pp. 307--329, Springer, Berlin, 2008, ISBN 978-3-540-72963-1 .

  1346. Aaron Hula, Kiumars Jalali, Karim Hamza, Steven J. Skerlos and Kazuhiro Saitou. Multi-Criteria Decision-Making for Optimization of Product Disassembly under Multiple Situations, Environmental Science & Technology, Vol. 37, No. 23, pp. 5303--5313, December 1, 2003 .

  1347. Ming-Hao Hung, Li-Sun Shu, Shinn-Jang Ho, Shiow-Fen Hwang and Shinn-Ying Ho. A Novel Intelligent Multiobjective Simulated Annealing Algorithm for Designing Robust PID Controllers, IEEE Transactions on Systems, Man, and Cybernetics Part A--Systems and Humans, Vol. 38, No. 2, pp. 319--330, March 2008 .

  1348. 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.

  1349. 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 .

  1350. 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.

  1351. 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.

  1352. 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.

  1353. 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.

  1354. K. Hyari and K. El-Rayes. Optimal planning and scheduling for repetitive construction projects, Journal of Management in Engineering, Vol. 22, No. 1, pp. 11--19, 2006.

  1355. Chul Ju Hyun, Yeongho Kim and Yeo Keun Kim. A Genetic Algorithm for Multiple Objective Sequencing Problems in Mixed Model Assembly Lines. Computers and Operations Research, Vol. 25, No. 7/8, pp. 675--690, 1998 .

    1356. I

  1356. 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.

  1357. 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 .

  1358. Christian Igel, Nikolaus Hansen and Stefan Roth. Covariance Matrix Adaptation for Multi-objective Optimization, Evolutionary Computation, Vol. 15, No. 1, pp. 1--28, Spring 2007 .

  1359. Christian Igel, Thorsten Suttorp and Nikolaus Hansen. Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES, in Shigeru Obayashi, Kalyanmoy Deb, Carlo Poloni, Tomoyuki Hiroyasu and Tadahiko Murata (editors), Evolutionary Multi-Criterion Optimization, 4th International Conference, EMO 2007, pp. 171--185, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  1360. 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 .

  1361. 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 .

  1362. B. de la Iglesia, G. Richards, M.S. Philpott and V.J. Rayward-Smith. The application and effectiveness of a multi-objective metaheuristic algorithm for partial classification, European Journal of Operational Research, Vol. 169, pp. 898--917, 2006 .

  1363. 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.

  1364. 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.

  1365. 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 .

  1366. Kokolo Ikeda, Hiromichi Suzuki, Sandor Markon and Hajime Kita. Designing Traffic-Sensitive Controllers for Multi-Car Elevators Through 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. 673--686, Springer. Lecture Notes in Computer Science Vol. 4403, Matshushima, Japan, March 2007 .

  1367. 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.

  1368. Taylan Ilhan, Seyed M.R. Iravani and Mark S. Daskin. The orienteering problem with stochastic profits, IIE Transactions, Vol. 40, No. 4, pp. 406--421, April 2008 .

  1369. Charles David Immanuel. Experimental Analysis, Mathematical Modeling and Control of Particle Size Distribution in Semi-Batch Emulsion Polymerization, PhD thesis, University of Delawere, 2003 .

  1370. 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.

  1371. 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.

  1372. 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 .

  1373. 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 .

  1374. Antony Iorio and Xiaodong Li. Rotationally Invariant Crossover Operators in Evolutionary Multi-objective Optimization, in Tzai-Der Wang, Xiaodong Li, Shu-Heng Chen, Xufa Wang, Hussein Abbass, Hitoshi Iba, Guoliang Chen and Xin Yao (editors), Simulated Evolution and Learning, 6th International Conference, SEAL 2006, pp. 310--317, Springer. Lecture Notes in Computer Science Vol. 4247, Hefei, China, October 2006.

  1375. 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.

  1376. Steffen Iredi, Daniel Merkle and Martin Middendorf. Bi-Criterion Optimization with Multi Colony Ant Algorithms, In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 359--372. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.

  1377. A. Isaacs, T. Ray, and W. Smith. A Hybrid Evolutionary Algorithm With Simplex Local Search. In 2007 IEEE Congress on Evolutionary Computation (CEC'2007), pp. 1701-1708, IEEE Press, Singapore, September 2007.

  1378. 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.

  1379. 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.

  1380. 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.

  1381. 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.

  1382. Hisao Ishibuchi, Tadahiko Murata, and I. B. Tursken. Single-Objective and Two-Objective Genetic Algorithms for Selecting Linguistic Rules for Pattern Classification Problems. Fuzzy Sets and Systems, 89(2):135-150, July 1997.

  1383. 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.

  1384. Hisao Ishibuchi and Tadahiko Murata. Multi-Objective Genetic Local Search Algorithm and Its Application to Flowshop Scheduling. IEEE Transactions on Systems, Man and Cybernetics---Part C: Applications and Reviews, 28(3):392-403, August 1998.

  1385. 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.

  1386. 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.

  1387. Hisao Ishibuchi, Tadahiko Murata, and Mitsuo Gen. Performance Evaluation of Fuzzy Rule-Based Classification Systems Obtained by Multi-Objective Genetic Algorithms. Computers & Industrial Engineering, 35(3-4):575-578, December 1998.

  1388. 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.

  1389. 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.

  1390. 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.

  1391. 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.

  1392. 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 .

  1393. Hisao Ishibuchi, Tomoharu Nakashima and Tadahiko Murata. Three-objective genetics-based machine learning for linguistic rule extraction, Information Sciences, Vol. 136, Nos. 1--4, pp. 109--133, August 2001.

  1394. 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 .

  1395. 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 .

  1396. 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

  1397. Hisao Ishibuchi and Tadashi Yoshida, Hybrid Evolutionary Multi-Objective Optimization Algorithms, in A. Abraham, J. Ruiz-del-Solar and M. Köppen (eds), Soft Computing Systems: Design, Management and Applications (Frontiers in Artificial Intelligence and Applications, Volume 87), IOS Press, ISBN 1-58603-297-6,pp. 163--172, 2002.

  1398. 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.

  1399. Hisao Ishibuchi, Tadashi Yoshida and Tadahiko Murata. Balance Between Genetic Search and Local Search in Memetic Algorithms for Multiobjective Permutation Flowshop Scheduling, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 2, pp. 204--223, April 2003 .

  1400. 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 .

  1401. 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 .

  1402. 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 .

  1403. 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 .

  1404. 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 .

  1405. 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 .

  1406. 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.

  1407. 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.

  1408. Hisao Ishibuchi and Takashi Yamamoto. Fuzzy Rule Selection by Multi-Objective Genetic Local Search Algorithms and Rule Evaluation Measures in Data Mining, Fuzzy Sets and Systems, Vol. 141, No. 1, pp. 59--88, January 2004.

  1409. H. Ishibuchi and S. Kaige. Implementation of Simple Multiobjective Memetic Algorithms and Its Application to Knapsack Problems, International Journal of Hybrid Intelligent Systems, Vol. 1, pp. 22--35, 2004.

  1410. 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.

  1411. 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.

  1412. Hisao Ishibuchi and Youhei Shibata. Single-Objective and Multi-Objective Evolutionary Flowshop Scheduling, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 529--554, World Scientific, Singapore, 2004.

  1413. 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 .

  1414. 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 .

  1415. 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 .

  1416. 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 .

  1417. 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 .

  1418. 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.

  1419. Hisao Ishibuchi, Tsutomu Doi and Yusuke Nojima. Incorporation of Scalarizing Fitness Functions into Evolutionary Multiobjective Optimization Algorithms, in Thomas Philip Runarsson, Hans-Georg Beyer, Edmund Burke, Juan J. Merelo-Guervós, L. Darrell Whitley and Xin Yao (editors), Parallel Problem Solving from Nature - PPSN IX, 9th International Conference, pp. 493--502, Springer. Lecture Notes in Computer Science Vol. 4193, Reykjavik, Iceland, September 2006 .

  1420. 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 .

  1421. 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 .

  1422. Hisao Ishibuchi and Yusuke Nojima. Fuzzy Ensemble Design through Multi-Objective Fuzzy Rule Selection, in Yaochu Jin (Editor), Multi-Objective Machine Learning, pp. 507--530, Springer. Studies in Computational Intelligence, Volume 16, Berlin, 2006.

  1423. 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 .

  1424. 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.

  1425. Hisao Ishibuchi and Yusuke Nojima. Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning, International Journal of Approximate Reasoning, Vol. 44, No. 1, pp. 4--31, January 2007 .

  1426. 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 .

  1427. Hisao Ishibuchi, Yusuke Nojima, Noritaka Tsukamoto, and Ken Ohara. Effects of the Use of Non-Geometric Binary Crossover on Evolutionary Multiobjective Optimization, in Dirk Thierens et al. (editors), 2007 Genetic and Evolutionary Computation Conference (GECCO 2007), pp. 829--836, Vol. 1, ACM Press, London, UK, July 2007 .

  1428. Hisao Ishibuchi, Isao Kuwajima and Yusuke Nojima. Relation between Pareto-Optimal Fuzzy Rules and Pareto-Optimal Fuzzy Rule Sets, in Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM'2007), pp. 42--49, IEEE Press, Honolulu, Hawaii, USA, April 2007.

  1429. Hisao Ishibuchi, Isao Kuwajima and Yusuke Nojima. Multiobjective Classification Rule Mining , in Joshua Knowles, David Corne and Kalyanmoy Deb (Editors), Multi-Objective Problem Solving from Nature: From Concepts to Applications, pp. 219--240, Springer, Berlin, 2008, ISBN 978-3-540-72963-1 .

  1430. Hisao Ishibuchi, Kaname Narukawa, Noritaka Ts