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
Sección de Computación
Departamento de Ingeniería Eléctrica
Av. Instituto Politécnico Nacional No. 2508
Col. San Pedro Zacatenco
México, D.F. 07300

Last Update: November 18th, 2005

(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. 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.

  13. 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.

  14. 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.

  15. 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 .

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

  17. 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 .

  18. 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 .

  19. 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.

  20. 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.

  21. 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.

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

  23. 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 .

  24. 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 .

  25. 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 .

  26. 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 .

  27. 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 .

  28. 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 .

  29. 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.

  30. 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 .

  31. 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 .

  32. 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.

  33. 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.

  34. 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.

  35. 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.

  36. 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 .

  37. 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

  38. 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.

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

  40. 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

  41. 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 .

  42. 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.

  43. 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.

  44. 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.

  45. 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.

  46. 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 .

  47. 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.

  48. 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.

  49. 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.

  50. 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.

  51. 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.

  52. 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.

  53. 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.

  54. 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 .

  55. 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

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

  57. 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

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

  59. 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.

  60. 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

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

  62. 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.

  63. 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 .

  64. 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.

  65. 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.

  66. 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

  67. 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

  68. 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.

  69. 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.

  70. 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 .

  71. 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 .

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

  73. 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 .

  74. 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.

  75. 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.

  76. 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 .

  77. 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 .

  78. 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.

  79. 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.

  80. 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.

  81. 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.

  82. 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 .

  83. 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.

  84. 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 .

  85. 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 .

  86. 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 .

  87. 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.

  88. 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.

  89. 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 .

  90. 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.

  91. 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.

  92. Sanjay Narayanan and Shapour Azarm. A Multiobjective Interactive Sequential Hybrid Optimization Technique for Design Decision Making. Engineering Optimization, 32:485-500, 2000.

    93. B

  93. 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.

  94. 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 .

  95. 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 .

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

  97. 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 .

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

  99. 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 .

  100. 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.

  101. 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.

  102. 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.

  103. 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.

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  448. 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.

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

  453. 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.

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  456. 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

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  461. 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

  462. 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

  463. 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

  464. 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

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

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

  467. 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.

  468. 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.

  469. 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.

  470. 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 .

  471. 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 .

  472. 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 .

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

  474. 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.

  475. 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.

  476. 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.

  477. 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.

  478. 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.

  479. 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 .

  480. 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 .

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