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.

  104. 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.

  105. 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.

  106. 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 .

  107. 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 .

  108. 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 .

  109. 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 .

  110. 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.

  111. 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.

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

  113. 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 .

  114. 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 .

  115. 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.

  116. 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 .

  117. 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.

  118. 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.

  119. 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.

  120. 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 .

  121. 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.

  122. 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.

  123. 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.

  124. 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.

  125. 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 .

  126. 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 .

  127. 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) .

  128. 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) .

  129. 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.

  130. 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.

  131. 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 .

  132. 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.

  133. 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 .

  134. 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 .

  135. 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 .

  136. 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) .

  137. 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.

  138. 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.

  139. 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.

  140. 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.

  141. 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.

  142. 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.

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

  144. 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.

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

  146. 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

  147. 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 .

  148. 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.

  149. 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.

  150. 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 .

  151. 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.

  152. 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.

  153. 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.

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

  155. 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)).

  156. 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.

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

  158. 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 .

  159. 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).

  160. 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.

  161. 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.

  162. 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

  163. 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).

  164. 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 .

  165. 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 .

  166. 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 .

  167. 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.

  168. 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.

  169. 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.

  170. 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.

  171. 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.

  172. 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.

  173. 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.

  174. 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

  175. 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.

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

  177. 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.

  178. 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.

  179. 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.

  180. 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.

  181. 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.

  182. 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.

  183. 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.

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

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

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

  187. 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.

  188. 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.

  189. 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 .

  190. 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

  191. 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 .

  192. 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.

  193. 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.

  194. 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.

  195. 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

  196. 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.

  197. 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).

  198. 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.

  199. 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.

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

  201. 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.

  202. 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.

  203. 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.

  204. 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 .

  205. 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 .

  206. 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.

  207. 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.

  208. 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.

  209. 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.

  210. 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.

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

  212. 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 .

  213. 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.

  214. 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 .

  215. 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.

  216. 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.

  217. 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.

  218. 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.

  219. 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.

  220. 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

  221. 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.

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

  223. 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.

  224. 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 .

  225. 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 .

  226. 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.

  227. 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.

  228. 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 .

  229. 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.

  230. 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 .

  231. 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.

  232. 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.

  233. 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.

  234. 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.

  235. 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.

  236. 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.

  237. 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 .

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

  239. 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.

  240. 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 .

  241. 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

  242. 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.

  243. 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.

  244. 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 .

  245. 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.

  246. 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.

  247. 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.

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

    249. C

  249. 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.

  250. 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.

  251. 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.

  252. 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) .

  253. 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 .

  254. 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).

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

  256. 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.

  257. 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.

  258. 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.

  259. 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.

  260. 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 .

  261. 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 .

  262. 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).

  263. 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.

  264. 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 .

  265. 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 .

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

  267. 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.

  268. 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 .

  269. 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.

  270. 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 .

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

  272. 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 .

  273. 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) .

  274. 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 .

  275. 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 .

  276. 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.

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

  278. 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.

  279. 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.

  280. 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.

  281. 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.

  282. 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.

  283. 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.

  284. 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.

  285. 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.

  286. 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 .

  287. 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 .

  288. 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.

  289. 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.

  290. 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.

  291. 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.

  292. 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.

  293. 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.

  294. 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

  295. 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.

  296. 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.

  297. 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 .

  298. 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).

  299. 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.

  300. 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 .

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

  302. 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.

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

  304. 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 .

  305. 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 .

  306. 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.

  307. 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.

  308. 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.

  309. 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.

  310. 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.

  311. 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.

  312. 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.

  313. 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.

  314. 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.

  315. 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.

  316. 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.

  317. 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).

  318. 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.

  319. 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.

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

  321. 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 .

  322. 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.

  323. 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).

  324. 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.

  325. 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).

  326. 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 .

  327. 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.

  328. 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) .

  329. 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.

  330. 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.

  331. 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.

  332. Jeffery K. Cochran, Shwu-Min Horng, and John W. Fowler. A Multi-Population Genetic Algorithm to Solve Multi-Objective Scheduling Problems for Parallel Machines, Working Paper, Department of Industrial Engineering, Arizona State University, 2000 (Submitted to Computers and Operations Research).

  333. 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 .

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

  335. 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 .

  336. 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.

  337. 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.

  338. 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.

  339. 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.

  340. 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.

  341. 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).

  342. 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.

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

  344. 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.

  345. 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.

  346. 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.

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

  348. 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.

  349. 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.

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

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

  352. 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.

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

  354. 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.

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

  356. 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.

  357. 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

  358. 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 .

  359. 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.

  360. 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.

  361. 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.

  362. 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.

  363. 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.

  364. 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.

  365. 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 .

  366. 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 .

  367. 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 .

  368. 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 .

  369. 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.

  370. 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.

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

  372. 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.

  373. 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 .

  374. 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 .

  375. 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 .

  376. 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.

  377. 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.

  378. 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.

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

  380. 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.

  381. 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.

  382. 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

  383. 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 .

  384. 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 .

  385. 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 .

  386. 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 .

  387. 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 .

  388. 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.

  389. 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 .

  390. 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 .

  391. 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.

  392. 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 .

  393. 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 .

  394. 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.

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

  396. 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.

  397. 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.

  398. 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 .

  399. 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.

  400. 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.

  401. 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.

  402. 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.

  403. 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 .

  404. 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 .

  405. 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.

  406. 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

  407. 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.

  408. 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.

  409. 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.

  410. 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.

  411. 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 .

  412. 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.

  413. 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.

  414. 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 .

  415. 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 .

  416. 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.

  417. 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.

  418. 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.

  419. 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.

  420. 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.

  421. 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.

  422. 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.

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

  424. 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.

  425. 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.

  426. 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.

  427. 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 .

  428. 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.

  429. 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.

  430. 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.

  431. 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.

    432. D

  432. 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.

  433. 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.

  434. 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.

  435. 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.

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

  437. 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.

  438. 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.

  439. 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.

  440. 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.

  441. 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.

  442. 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 .

  443. 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.

  444. 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 .

  445. 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 .

  446. 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.

  447. 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.

  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.

  449. 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.

  450. 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.

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

  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.

  454. 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.

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

  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

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

  458. 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

  459. 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

  460. 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

  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 .

  481. 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 .

  482. 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 .

  483. 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 .

  484. 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.

  485. 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 .

  486. 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 .

  487. 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 .

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

  489. 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.

  490. 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.

  491. 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.

  492. 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.

  493. 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 .

  494. 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 .

  495. 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.

  496. 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.

  497. 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.

  498. 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.

  499. 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.

  500. 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.

  501. 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, ISBN 1-59593-010-8, Washington DC, USA, June 2005 .

  502. 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.

  503. 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.

  504. 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.

  505. 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 .

  506. 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.

  507. 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.

  508. 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.

  509. 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.

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

  511. 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.

  512. 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.

  513. 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.

  514. 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 .

  515. 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 .

  516. 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 .

  517. 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 .

  518. 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 .

  519. 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.

  520. 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 .

  521. 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 .

  522. 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.

  523. 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.

  524. 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.

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

  526. 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.

  527. 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.

  528. 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.

  529. 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) .

  530. 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.

  531. 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.

  532. 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.

  533. 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 .

  534. 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 .

  535. 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.

  536. 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 .

  537. 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.

  538. 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.

  539. 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.

  540. 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.

  541. 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.

  542. 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.

  543. 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 .

  544. 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.

  545. 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.

  546. 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.

    547. E

  547. 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.

  548. 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.

  549. 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.

  550. 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.

  551. 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 .

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

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

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

  555. 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.

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

  557. 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 .

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

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

  560. 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.

  561. 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.

  562. 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.

  563. 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.

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

  565. 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.

  566. 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.

  567. 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 .

  568. 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.

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

  570. 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.

  571. 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.

  572. 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.

  573. 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.

  574. 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.

  575. 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 .

  576. 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 .

  577. 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.

  578. 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.

  579. 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.

  580. 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.

  581. 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.

  582. 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.

  583. 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.

  584. 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.

  585. 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.

  586. 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.

  587. 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.

    588. F

  588. 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.

  589. 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.

  590. 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.

  591. 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 .

  592. 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) .

  593. 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).

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

  595. 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.

  596. 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.

  597. 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.

  598. 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.

  599. 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 .

  600. 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 .

  601. 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 .

  602. 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 .

  603. 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 .

  604. 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.

  605. 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 .

  606. 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 .

  607. 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).

  608. 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.

  609. 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.

  610. 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.

  611. 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 .

  612. 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 .

  613. 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.

  614. 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.

  615. 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 .

  616. 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).

  617. 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 .

  618. 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.

  619. 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.

  620. 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 .

  621. 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 .

  622. 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 .

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

  624. 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.

  625. 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 .

  626. 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.

  627. 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.

  628. 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.

  629. 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.

  630. 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.

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

  632. 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.

  633. 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.

  634. 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.

  635. 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.

  636. 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.

  637. 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.

  638. 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.

  639. 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.

  640. 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.

  641. 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.

  642. 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.

  643. 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.

  644. 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 .

  645. 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 .

  646. 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 .

  647. 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 .

  648. 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.

  649. 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 .

  650. 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 .

  651. 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.

  652. 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.

  653. 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 .

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

  655. 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.

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

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

  658. 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.

    659. 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.

    G

  659. 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.

  660. 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.

  661. 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.

  662. 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 .

  663. 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.

  664. 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.

  665. 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) .

  666. 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.

  667. 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.

  668. 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.

  669. 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 .

  670. 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.

  671. 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 .

  672. 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.

  673. 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 .

  674. 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 .

  675. 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 .

  676. 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.

  677. A. Gaspar-Cunha. Modelling and Optimisation of Single Screw Extrusion, PhD Thesis, University of Minho, Guimarães, Portugal, 2000 (abstract).

  678. 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.

  679. 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

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

  681. 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.

  682. 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.

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

  684. 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.

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

  686. 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 .

  687. 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 .

  688. 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 .

  689. 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.

  690. 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.

  691. 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.

  692. 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.

  693. 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.

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

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

  696. 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.

  697. 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 .

  698. 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

  699. 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.

  700. 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.

  701. 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

  702. 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

  703. 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 .

  704. 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 .

  705. 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.

  706. 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.

  707. 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 .

  708. 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 .

  709. 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.

  710. 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 .

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

  712. 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 .

  713. 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.

  714. 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.

  715. 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 .

  716. 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.

  717. 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.

  718. 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 .

  719. 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 .

  720. 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 .

  721. 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 .

  722. 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 .

  723. 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) .

  724. 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.

  725. 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.

  726. 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.

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

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

  729. 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.

  730. 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.

  731. 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 .

  732. 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.

  733. 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.

  734. 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 .

  735. 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 .

  736. 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.

  737. 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.

  738. 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 .

  739. 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.

  740. 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.

  741. 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.

  742. 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.

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

  744. 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.

  745. 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 .

  746. 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 .

  747. 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 .

  748. 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 .

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

  750. 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.

  751. 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 .

  752. 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 .

  753. 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 .

  754. 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.

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

  756. 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).

    757. H

  757. 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.

  758. 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.

  759. 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 .

  760. 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.

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

  762. 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 .

  763. 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 .

  764. 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.

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

  766. 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.

  767. 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 .

  768. 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 .

  769. 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.

  770. 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 .

  771. 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 .

  772. 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 .

  773. 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 .

  774. 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 .

  775. 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.

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

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

  778. 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 .

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

  780. 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 .

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

  782. 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.

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

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

  785. 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.

  786. 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.

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

  788. 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.

  789. 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.

  790. 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.

  791. 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 .

  792. 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 .

  793. 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 .

  794. 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 .

  795. 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) .

  796. 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 .

  797. 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

  798. 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) .

  799. 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 .

  800. 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 .

  801. Arturo Hernández Aguirre, Salvador Botello Rionda, Giovanni Lizárraga Lizárraga and Carlos Coello Coello. IS-PAES: Multiobjective Optimization with Efficient Constraint Handling, in Tadeusz Burczyński 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 .

  802. 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.

  803. 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.

  804. 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).

  805. 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.

  806. 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.

  807. 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.

  808. 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.

  809. 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.

  810. 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.

  811. 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.

  812. 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 .

  813. 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 .

  814. 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.

  815. 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 .

  816. 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 .

  817. 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 .

  818. 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.

  819. 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.

  820. 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.

  821. 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.

  822. 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.

  823. 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.

  824. 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.

  825. 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 .

  826. 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 .

  827. 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.

  828. 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.

  829. 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.

  830. 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

  831. 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 .

  832. 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 .

  833. 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 .

  834. 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 .

  835. 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 .

  836. 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 .

  837. 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 .

  838. 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 .

  839. 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 .

  840. 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.

  841. 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 .

  842. 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).

  843. 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 .

  844. 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.

  845. 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.

  846. 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.

  847. 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.

  848. 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.

  849. 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.

  850. 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 .

  851. 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 .

  852. 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 .

  853. 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 .

  854. 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.

  855. 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.

  856. 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 .

  857. 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 .

  858. 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.

  859. 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 .

    860. I

  860. 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.

  861. 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 .

  862. 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 .

  863. 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 .

  864. 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.

  865. 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.

  866. 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 .

  867. 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.

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

  869. 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 .

  870. 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.

  871. 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 .

  872. 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.

  873. 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.

  874. 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.

  875. 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.

  876. 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.

  877. 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.

  878. 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.

  879. 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.

  880. 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.

  881. 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.

  882. 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.

  883. 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.

  884. 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.

  885. 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.

  886. 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.

  887. 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 .

  888. 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.

  889. 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 .

  890. 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 .

  891. 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

  892. 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.

  893. 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.

  894. 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 .

  895. 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 .

  896. 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 .

  897. 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 .

  898. 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 .

  899. 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 .

  900. 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 .

  901. 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 .

  902. 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 .

  903. 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 .

  904. 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 .

  905. 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 .

  906. 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 .

  907. 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.

  908. 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 .

  909. 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 .

  910. 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 .

  911. 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 .

  912. Askin T. Isikveren. Quasi-analytical Modelling and Optimisation Techniques for Transport Aircraft Design, PhD Thesis, Department of Aeronautics, Royal Institute of Technology, Stockholm, Sweden, May 2002 (abstract).

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

  914. K. Ito, S. Akagi, and M. Nishikawa. A multiobjective optimization approach to a design problem of heat insulation for thermal distribution piping network systems. Journal of Mechanisms, Transmissions and Automation in Design (Transactions of the ASME), 105:206-213, jun 1983.

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

    916. J

  916. Jacob T. Jackson, Gregg H. Grunsch, Roger L.Claypoole Jr. and Gary B. Lamont. Blind Steganography Detection Using a Computational Immune System: A Work in Progress, International Journal of Digital Evidence, Vol. 4, No. 1, Winter 2003.

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

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

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

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

  921. Arne Jansson, Petter Krus, and Jan-Ove Palmberg. Optimisation of fluid power systems with two alternative non-derivative methods. Technical Report LiTH-IDA-R-94-29, Department of Mechanical Engineering, Linköping University, S-581 83 Linköping, Sweden, 1994.

  922. Arne Jansson. Fluid Power System Design--A Simulation Approach. PhD thesis, Department of Mechanical Engineering, Linköping University, Linköping, Sweden, 1994.

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

  924. Andrzej Jaszkiewicz. A metaheuristic approach to multiple objective nurse scheduling. Foundations of Computing and Decision Sciences, 22(3):169-184, 1997.

  925. Andrzej Jaszkiewicz. Genetic local search for multiple objective combinatorial optimization, Technical Report RA-014/98, Institute of Computing Science, Poznan University of Technology, 1998.

  926. Andrzej Jaszkiewicz. On the performance of multiple objective genetic local search on the 0/1 knapsack problem. a comparative experiment, Technical Report RA-002/2000, Institute of Computing Science, Poznan University of Technology, Poznań, Poland, July 2000.

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

  928. Andrzej Jaszkiewicz, Maciej Hapke, and Pawel Kominek. Performance of Multiple Objective Evolutionary Algorithms on a Distribution System Design Problem--Computational Experiment. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 241-255. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 .

  929. Andrzej Jaszkiewicz, Multiple objective metaheuristic algorithms for combinatorial optimization, Habilitation Thesis, 360, Poznan University of Technology, Poznan, Poland, 2001

  930. Andrzej Jaszkiewicz, A comparative study of multiple-objective metaheuristics on the bi-objective set covering problem and the Pareto memetic algorithm, Research report, Institute of Computing Science, Poznan University of Technology, RA-003/01, 2001, Poznan, Poland, 2001.

  931. Andrzej Jaszkiewicz. On the Performance of Multiple-Objective Genetic Local Search on the 0/1 Knapsack Problem---A Comparative Experiment, IEEE Transactions on Evolutionary Computation, Vol. 6, No. 4, pp. 402--412, August 2002

  932. Andrzej Jaszkiewicz. Genetic local search for multiple objective combinatorial optimization, European Journal of Operational Research, Vol. 137, No. 1, pp. 50--71, 2002 .

  933. Andrzej Jaszkiewicz. On the Computational Effectiveness of Multiple Objective Metaheuristics, in T. Traskalik and J. Michnik (editors), Multiple Objective and Goal Programming. Recent Developments, pp. 86--100, Physica-Verlag, Heidelberg, 2002.

  934. Andrzej Jaszkiewicz. Do Multiple-Objective Metaheuristics Deliver on Their Promises? A Computational Experiment on the Set-Covering Problem, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 2, pp. 133--143, April 2003 .

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

  936. Andrzej Jaszkiewicz. On the computational efficiency of multiple objective metaheuristics. The knapsack problem case study, European Journal of Operational Research, Vol. 158, No. 2, pp. 418--433, October 16, 2004 .

  937. Andrzej Jaszkiewicz. A Comparative Study of Multiple-Objective Metaheuristics on the Bi-Objective Set Covering Problem and the Pareto Memetic Algorithm, Annals of Operations Research, Vol. 131, Nos. 1--4, pp. 135--158, October 2004 .

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

  939. Mikkel T. Jensen. Robust and Flexible Scheduling with Evolutionary Computation, PhD Thesis, Department of Computer Science, University of Aarhus, Denmark, October 2001 (abstract).

  940. Mikkel T. Jensen. Reducing the Run-Time Complexity of Multiobjective EAs: The NSGA-II and Other Algorithms, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 5, pp. 503--515, October 2003 .

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

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

  943. L.E. Jeremiah, L.L. Gibson, M. Gen, K. Ida, J. Lee, and J. Kim. Fuzzy Nonlinear Goal Programming Using Genetic Algorithm. Computers and Industrial Engineering, 33(1):39-42, October 1997.

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

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

  946. Yi-Min Jiang and Kwang-Ting (Tim) Cheng. Vector Generation for Power Supply Noise Estimation and Verification of Deep Submicron Designs, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Vol. 9, No. 2, pp. 329--340, April 2001.

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

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

  949. F. Jiménez and J. M. Cadenas. An evolutionary program for the multiobjective solid transportation problem with fuzzy goals. Operations Research and Decisions, 2:5-20, 1995.

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

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

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

  953. Fernando Jiménez, Antonio F. Gómez-Skarmeta, Hans Roubos, and Robert Babuska. Accurate, transparent, and compact fuzzy models for function approximation and dynamic modeling through 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 653-667. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 .

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

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

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

  957. Yaochu Jin, Werner von Seelen, and Bernhard Sendhoff. On generating flexible, complete, consistent and compact(FC) fuzzy rule systems from data using evolution strategies, IEEE Transactions on Systems, Man, and Cybernetics, 29(4):829-845, 1999.

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

  959. Yaochu Jin, Tatsuya Okabe, and Bernhard Sendhoff. Adapting Weighted Aggregation for Multiobjective Evolution Strategies. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 96-110. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 .

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

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

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

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

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

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

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

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

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

  969. Yaochu Jin, Tatsuya Okabe and Bernhard Sendhoff. Evolutionary Multi-Objective Optimization Approach to Constructing Neural Network Ensembles for Regression, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 653--673, World Scientific, Singapore, 2004.

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

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

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

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

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

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

  976. D.F. Jones, S.K. Mirrazavi and M. Tamiz. Multi-objective metaheuristics: An overview of the current state-of-the-art, European Journal of Operational Research, Vol. 137, No. 1, pp. 1--9, February 2002 .

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

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

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

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

  981. Nicolas Jozefowiez, Frédéric Semet and El-Ghazali Talbi. A Multi-Objective Evolutionary Algorithm for the Covering Tour Problem, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 247--267, World Scientific, Singapore, 2004.

    982. K

  982. R. Kachhap and C. Guria. Multi-objective optimization of a batch copoly(ethylene-polyoxyethylene terephthalate) reactor using different adaptations of nondominated sorting genetic algorithm, Macromolecular Theory and Simulations, Vol. 14, No. 6, pp. 358--373, July 19, 2005 .

  983. Imed Kacem, Slim Hammadi and Pierre Borne. Approach by Localization and Multiobjective Evolutionary Optimization for Flexible Job-Shop Scheduling Problems, IEEE Transactions on Systems, Man, and Cybernetics---Part C: Applications and Reviews, Vol. 32, No. 1, pp. 1--13, February 2002 .

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

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

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

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

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

  989. Masahiro Kanazaki, Shigeru Obayashi and Kazuhiro Nakahashi. Exhaust Manifold Design with Tapered Pipes using Divided Range MOGA, Engineering Optimization, Vol. 36, No. 2, pp. 149--163, April 2004 .

  990. R.B. Kasat, D. Kunzru, D.N. Saraf and S.K. Gupta. Multiobjective optimization of industrial FCC units using elitist nondominated sorting genetic algorithm, Industrial & Engineering Chemistry Research, Vol. 41, No. 19, pp. 4765--4776, September 2002.

  991. K.B. Kasat, A.K. Ray and S.K. Gupta. Applications of genetic algorithm in polymer science and engineering, Materials and Manufacturing Processes, Vol. 18, No. 3, pp. 523--532, 2003.

  992. K.B. Kasat and S.K. Gupta. Multi-objective optimization of an industrial fluidized-bed catalytic cracking unit (FCCU) using genetic algorithm (GA) with the jumping genes operator, Computers & Chemical Engineering, Vol. 27, No. 12, pp. 1785--1800, December 2003.

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

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

  995. Kosuke Kato, Masatoshi Sakawa, and Toshinori Ikegame. Interactive Decision Making for Multiobjective Block Angular 0-1 Programming Problems with Fuzzy Parameters Through Genetic Algorithms. Japanese Journal of Fuzzy Theory and Systems, 9(1):49-59, 1997.

  996. Kosuke Kato and Masatoshi Sakawa. An interactive fuzzy satisficing method for large scale multiobjective 0-1 programming problems with fuzzy parameters through genetic algorithms. European Journal of Operational Research, 107(3):590-598, June 1998.

  997. Kosuke Kato, Masatoshi Sakawa, and Toshinori Ikegame. An Interactive Fuzzy Criteria Method for Multiobjective 0-1 Programming Problems with Block Angular Structure Using Genetic Algorithms. Electronics and Communications in Japan, 81(8):10-17, 1998.

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

  999. Kosuke Kato, Cahit Perkgoz and Masatoshi Sakawa. An Interactive Fuzzy Satisficing Method for Multiobjective Integer Programming Problems through Genetic Algorithms, in Yaochu Jin (editor), Knowledge Incorporation in Evolutionary Computation, Springer, pp. 503--523, Berlin Heidelberg, 2005, ISBN 3-540-22902-7 .

  1000. Yuji Katsumata and Takao Terano. Bayesian Optimization Algorithm for Multi-Objective Solutions:Application to Electric Equipment Configuration Problems in a Power Plant, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 1101--1107, IEEE Press, Canberra, Australia, December 2003 .

  1001. T. Kawabe and T. Tagami. A New Genetic Algorithm using Pareto Partitioning Method for Robust Partial Model Matching PID Design with Two Degrees of Freedom. In Proceedings of the Third International ICSC (International Computer Science Conventions) Symposia on Intelligent Industrial Automation (IIA'99) and Soft Computing (SOCO'99), pages 562-567, Genova, 1999.

  1002. Hiroshi Kawamura. Fuzzy Multi-Objective and Multistage Optimization--An Application of Fuzzy Theory to Artificial Life, in International Joint Conference of the Fourth IEEE International Symposium on Fuzzy Systems and the Second International Fuzzy Engineering Symposium, Vol. 2, pp. 701--708, IEEE, 1995.

  1003. Edward Keedwell and Soon-Thiam Khu. Hybrid Genetic Algorithms for Multi-objective Optimisation of Water Distribution Networks, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 1030--1041, Seattle, Washington, USA, June 2004 .

  1004. Nattavut Keerativuttiumrong, Nachol Chaiyaratana and Vara Varavithya. Multi-objective Co-operative Co-evolutionary Genetic Algorithm, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 288--297, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002.

  1005. Maarten Keijzer. Scientific Discovery using Genetic Programming, PhD Thesis, Technical University of Denmark, Denmark, 2001 (abstract).

  1006. Vincent Kelner. Développement d'un algorithme génétique et application à des problèmes complexes d'optimisation, Masters Thesis, Université de Liège, Faculté des Sciences Appliquées,Département d'Aéronautique, Spatial, Mécanique et Matériaux, Service de Turbomachines et Propulsion, September 2003 .

  1007. Robert H. Kewley and Mark J. Embrechts. Computational Military Tactical Planning System, IEEE Transactions on Systems, Man, and Cybernetics---Part C: Applications and Reviews, Vol. 32, No. 2, pp. 161--171, May 2002 .

  1008. Mohammed Khabzaoui, Clarisse Dhaenens and El-Ghazali Talbi. A Multicriteria Genetic Algorithm to analyze DNA microarray data, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1874--1881, Portland, Oregon, USA, June 2004 .

  1009. S. Khajehpour. Optimal Conceptual Design of High-Rise Office Buildings, PhD Thesis, Civil Engineering Department, University of Waterloo, Ontario, Canada, 2001 (abstract).

  1010. S. Khajehpour and D.E. Grierson. Conceptual Design using Adaptive Computing, 2001 Genetic and Computation Conference. Workshop Program, San Francisco, California, pp. 62--67, July 2001 .

  1011. S. Khajehpour and D.E. Grierson. Study of Safety of High-Rise Buildings using Evolutionary Search, in Tadeusz Burczyński and Andrzej Osyczka (editors), IUTAM Symposium on Evolutionary Methods in Mechanics, pp. 153--161, Kluwer Academic Publishers, Dordrecht/Boston/London, 2004, ISBN 1-4020-2266-2 .

  1012. Nazan Khan, David E. Goldberg and Martin Pelikan. Multi-Objective Bayesian Optimization Algorithm, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 684, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  1013. Junaid A. Khan, Sadiq M. Sait and Mahmood R. Minhas. Fuzzy Bialess Simulated Evolution for Multiobjective VLSI Placement, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1642--1647, IEEE Service Center, Piscataway, New Jersey, May 2002

  1014. Nazan Khan, David E. Goldberg and Martin Pelikan. Multi-Objective Bayesian Optimization Algorithm, Technical Report No. 2002009, Illinois Genetic Algorithms Laboratory, University of Illinois at Urbana-Champaign, Urbana, Illinois, March 2002 .

  1015. Nazan Khan. Bayesian Optimization Algorithms for Multiobjective and Hierarchically Difficult Problems, Master's Thesis, Graduate College of the University of Illinois at Urbana-Champaign, Urbana, Illinois, USA, 2003 (abstract).

  1016. Vineet Khare. Performance Scaling of Multi-Objective Evolutionary Algorithms, Master's Thesis, School of Computer Science, The University of Birmingham, Edgbaston, Birmingan, UK, September 2002.

  1017. V. Khare, X. Yao and K. Deb. Performance Scaling of Multi-objective Evolutionary Algorithms, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 376--390, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1018. Wael Khatib and Peter J. Fleming. An Introduction to Evolutionary Computing for Multidisciplinary Optimization. In Genetic Algorithms in Engineering Systems: Innovations and Applications, pages 7-12. IEE, 1997.

  1019. E.F. Khor, K.C. Tan, M.L. Wang and T.H. Lee. Evolutionary Algorithm with Dynamic Population Size for Multi-Objective Optimization, 26th Annual Conference of the IEEE Industrial Electronics Society, Vol. 3, pp. 1686--1691, IEEE, 2000.

  1020. E.F. Khor, K.C. Tan, and T.H. Lee. Tabu-Based Exploratory Evolutionary Algorithm for Effective Multi-objective 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 344-358. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 .

  1021. E.F. Khor, K.C. Tan, and T.H. Lee. Multi-Objective Evolutionary Algorithm with Non-Stationary Search Space, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, IEEE Service Center, Piscataway, New Jersey, pp. 527--535, May 2001 .

  1022. E.F. Khor, K.C. Tan and Y.J. Yang. An Evolutionary Algorithm with Tabu Restriction and Heuristic Reasoning for Multiobjective Optimization, in Yaochu Jin (editor), Knowledge Incorporation in Evolutionary Computation, Springer, pp. 255--277, Berlin Heidelberg, 2005, ISBN 3-540-22902-7 .

  1023. E.F. Khor, K.C. Tan, T.H. Lee and C.K. Goh. A study on distribution preservation mechanism in evolutionary multi-objective optimization, Artificial Intelligence Review, Vol. 23, No. 1, pp. 31--56, May 2005 .

  1024. Tahi M. Khoshgoftaar and Yi Liu and Naeem Seliya. Genetic Programming-Based Decision Trees for Software Quality Classification, in Proceedings of the Fifteenth International Conference on Tools with Artificial Intelligence (ICTAI 03), pp. 374--383, IEEE Computer Society, Los Alamitos, California, November 2003 .

  1025. Taghi Khoshgoftaar, Yi Liu and Naeem Seliya. A Multiobjective Module-Order Model for Software Quality Enhancement, IEEE Transactions on Evolutionary Computation, Vol. 8, No. 6, pp. 593--608, 2004 .

  1026. Soon-Thiam Khu. Automatic Calibration of NAM Model with Multi-Objectives Consideration, Technical Report 1298-1, National University of Singapore/Danish Hydraulic Institute, December 1998.

  1027. A. A. Khwaja, M. O. Rahman, and M.G. Wagner. Inverse Kinematics of Arbitrary Robotic Manipulators using Genetic Algorithms. In J. Lenarcic and M. L. Justy, editors, Advances in Robot Kinematics: Analysis and Control, pages 375-382. Kluwer Academic Publishers, 1998.

  1028. Yasuhiro Kida, Hiroshi Kawamura, Akinori Tani and Atsushi Takizawa. Multi-Objective Optimization of Spatial Truss Structures by Genetic Algorithm, Forma, Vol. 15, No. 2, pp. 133--139, 2000.

  1029. Gi-Hwa Kim. Multicriteria structural optimization by genetic algorithm, PhD Thesis, Seoul National University, 1994.

  1030. J.-H. Kim and K.-C. Kim. Multicriteria Fuzzy Control Using Evolutionary Programming. Information Sciences, 103(1):71-86, December 1997.

  1031. Y.-J. Kim and J. Ghaboussi. A New Genetic Algorithm Based Control Method Using State Space Reconstruction. In Proceedings of the Second World Conference on Struc. Control, pages 2007-2014, Kyoto, Japan, 1998.

  1032. Min-Kyu Kim, Cheol-Gyun Lee, and Hyun-Kyo Jung. Multiobjective Optimal Design of Three-Phase Induction Motor Using Improved Evolution Strategy. IEEE Transactions on Magnetics, 34(5):2980-2983, September 1998.

  1033. Y.-J. Kim and J. Ghaboussi. A New Method of Reduced Order Feedback Control Using Genetic Algorithms. Earthquake Engineering and Structural Dynamics, 28(2):193-212, 1999.

  1034. YongSeong Kim, W. Nick Street and Filippo Menczer. An Evolutionary Multi-Objective Local Selection Algorithm for Customer Targeting, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 2, IEEE Service Center, Piscataway, New Jersey, pp. 759--766, May 2001 .

  1035. YongSeong Kim. Feature Selection in Supervised and Unsupervised Learning via Evolutionary Search, PhD Thesis, Graduate College, The University of Iowa, December 2001 (abstract) .

  1036. Dongmin Kim, Soo-Yong Shin, In-Hee Lee and Byoung-Tak Zhang. NACST/Seq: A Sequence Design System with Multiobjective Optimization, in Masami Hagiya and Azuma Ohuchi (Editors), DNA Computing, 8th International Workshop on DNA Based Computers (DNA8), pp. 242--251, Springer, Lecture Notes in Computer Science. Volume 2568, Sapporo, Japan, 2003 .

  1037. Bosun Kim. Evaluation of Non-Dominated Solution Sets for Multiple Objective Optimization Problems, PhD thesis, Arizona State University, August 2003 (abstract) .

  1038. Yongjin Kim. Development of automobile antenna design and optimization for FM/GPS/SDARS applications, The Ohio State University, 2003 (abstract) .

  1039. DaeEun Kim. Structural Risk Minimization on Decision Trees Using an Evolutionary Multiobjective Optimization, in Maarten Keijzer, Una-May O'Reilly, Simon M. Lucas, Ernesto Costa and Terence Soule (editors), Genetic Programming. 7th European Conference, EuroGP 2004, Springer, Lecture Notes in Computer Science Vol. 3003, pp. 338--348, Coimbra, Portugal, April 2004 .

  1040. Mifa Kim, Tomoyuki Hiroyasu, Mitsunori Miki and Shinya Watanabe. SPEA2+: Improving the Performance of the Strength Pareto Evolutionary Algorithm 2, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 742--751, Birmingham, UK, September 2004 .

  1041. K.J. Kim and R.L. Smith. Systematic procedure for designing processes with multiple environmental objectives, Environmental Science & Technology, Vol. 39, No. 7, pp. 2394--2405, April 1, 2005 .

  1042. Robert T.F. Ah King and Harry C.S. Rughooputh. Elitist Multiobjective Evolutionary Algorithm for Environmental/Economic Dispatch, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 1108--1114, IEEE Press, Canberra, Australia, December 2003 .

  1043. Robert T.F. Ah King, Harry C.S. Rughooputh and Kalyanmoy Deb. Evolutionary Multi-objective Environmental/Economic Dispatch: Stochastic Versus Deterministic Approaches, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 677--691, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1044. T. Kipouros, G.T. Parks, A.M. Savill and D.M. Jaeggi. Multi-objective Aerodynamic Design Optimisation, in K.C. Giannakoglou and W. Haase (editors), ERCOF-TAC Design Optimization: Methods and Applications Conference Proceedings. On CD Rom, Paper ERCODO2004_239, 2004.

  1045. Timoleon Kipouros, Daniel Jaeggi, Bill Dawes, Geoff Parks and Mark Savill. Multi-objective Optimisation of Turbomachinery Blades Using Tabu Search, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 897--910, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1046. Michael Kirley. MEA: A metapopulation evolutionary algorithm for multi-objective optimisation problems, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 2, IEEE Service Center, Piscataway, New Jersey, pp. 949--956, May 2001 .

  1047. Marek Kisiel-Dorohinicki and Krzysztof Socha. Crowding Factor in Evolutionary Multi-Agent System for Multiobjective Optimization, in Hamid R. Arabnia (editor), Proceedings of the International Conference on Artificial Intelligence (IC-AI'2001), pp. 695--700, CSREA Press, 2001.

  1048. Marek Kisiel-Dorohinicki, Grzegorz Dobrowolski and Edward Nawarecki. Evolutionary multi-agent system in multiobjective optimisation, in M.~Hamza (editor), Proceedings of the IASTED International Symposium on Applied Informatics (AI'2001), pp. 360--365, IASTED/ACTA Press, 2001 .

  1049. Hajime Kita, Yasuyuki Yabumoto, Naoki Mori, and Yoshikazu Nishikawa. Multi-Objective Optimization by Means of the Thermodynamical Genetic Algorithm. In Hans-Michael Voigt, Werner Ebeling, Ingo Rechenberg, and Hans-Paul Schwefel, editors, Parallel Problem Solving from Nature--PPSN IV, Lecture Notes in Computer Science, pages 504-512, Berlin, Germany, September 1996. Springer-Verlag.

  1050. Takanori Kiyota, Yasutaka Tsuji and Eiji Kondo. New Multiobjective Fuzzy Optimization Method and Its Application, in Proceedings of the 2000 American Control Conference, Vol. 6, pp. 4224--4228, Chicago, Illinois, IEEE, June 2000.

  1051. T. Kiyota, Y. Tsuji and E. Kondo,Unsatisfying functions and multiobjective fuzzy satisficing design using genetic algorithms, IEEE Transactions on Systems, Man, and Cybernetics Part B-Cybernetics, Vol. 33, No. 6, pp. 889--897, December 2003 .

  1052. Mark P. Kleeman, Richard O. Day and Gary B. Lamont. Analysis of a Parallel MOEA Solving the Multi-objective Quadratic Assignment Problem, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 402--403, Seattle, Washington, USA, June 2004 .

  1053. Mark P. Kleeman, Richard O. Day and Gary B. Lamont. Multi-Objective Evolutionary Search Performance with Explicit Building-Block Sizes for NPC Problems, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 728--735, Portland, Oregon, USA, June 2004 .

  1054. Mark P. Kleeman and Gary B. Lamont. Solving the Aircraft Engine Maintenance Scheduling Problem Using a Multi-objective Evolutionary Algorithm, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 782--796, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1055. Mark R. Knarr, Mark N. Goltz, Gary B. Lamont and Junqi Huang. In Situ Bioremediation of Perchlorate-Contaminated Groundwater using a Multi-Objective Parallel Evolutionary Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1604--1611, IEEE Press, Canberra, Australia, December 2003 .

  1056. Joshua D. Knowles and David W. Corne. The Pareto Archived Evolution Strategy: A New Baseline Algorithm for Multiobjective Optimisation, In 1999 Congress on Evolutionary Computation, pages 98-105, Washington, D.C., July 1999. IEEE Service Center.

  1057. Joshua D. Knowles and David W. Corne. Assessing the Performance of the Pareto Archived Evolution Strategy, In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pages 123-124, Orlando, Florida, July 1999.

  1058. J. D. Knowles and D. W. Corne. Local Search, Multiobjective Optimization and the Pareto Archived Evolution Strategy, In B. et al. McKay, editor, Proceedings of Third Australia-Japan Joint Workshop on Intelligent and Evolutionary Systems, pages 209-216, Ashikaga, Japan, November 1999. Ashikaga Institute of Technology.

  1059. Joshua D. Knowles and David W. Corne. Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy (Draft Version), Evolutionary Computation, 8(2):149-172, 2000 (Final version obtainable from MIT press)

  1060. Joshua Knowles and David Corne. M-PAES: A Memetic Algorithm for Multiobjective Optimization,In 2000 Congress on Evolutionary Computation, volume 1, pages 325-332, Piscataway, New Jersey, July 2000. IEEE Service Center.

  1061. Joshua D. Knowles and David W. Corne. A Comparison of Diverse Approaches to Memetic Multiobjective Combinatorial Optimization,In Proceedings of the 2000 Genetic and Evolutionary Computation Conference Workshop Program, pages 103-108, Las Vegas, Nevada, July 2000.

  1062. Joshua D. Knowles, David W. Corne, and Martin J. Oates. On the Assessment of Multiobjective Approaches to the Adaptive Distributed Database Management Problem, In Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, Xin Yao, Evelyne Lutton, J. J. Merelo and Hans-Paul Schwefel (editors), Proceedings of the Sixth International Conference on Parallel Problem Solving from Nature (PPSN VI), pages 869-878, Berlin, September 2000. Springer.

  1063. Joshua D. Knowles, David W. Corne, and Martin J. Oates. The Pareto-Envelope based Selection Algorithm for Multiobjective Optimization, In Proceedings of the Sixth International Conference on Parallel Problem Solving from Nature (PPSN VI), pages 839-848, Berlin, September 2000. Springer.

  1064. Joshua D. Knowles, Martin J. Oates, and David W. Corne. Multiobjective Evolutionary Algorithms Applied to two Problems in Telecommunications, BT Technology Journal, 18(4):51-64, October 2000.

  1065. Joshua D. Knowles, Richard A. Watson, and David W. Corne. Reducing Local Optima in Single-Objective Problems by Multi-objectivization. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 268-282. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 .

  1066. Joshua D. Knowles and David W. Corne. Benchmark Problem Generators and Results for the Multiobjective Degree-Constrained Minimum Spanning Tree Problem, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 424--431, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

  1067. Joshua D. Knowles and David W. Corne. A Comparative Assessment of Memetic, Evolutionary, and Constructive Algorithms for the Multiobjective d-MST Problem, 2001 Genetic and Evolutionary Computation Conference. Workshop Program, San Francisco, California, pp. 162--167, July 2001 .

  1068. Joshua D. Knowles and David W. Corne. A Comparison of Encodings and Algorithms for Multiobjective Minimum Spanning Tree Problems, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, IEEE Service Center, Piscataway, New Jersey, pp. 544--551, May 2001 .

  1069. Joshua D. Knowles Local-Search and Hybrid Evolutionary Algorithms for Pareto Optimization, PhD Thesis, The University of Reading, Reading, UK, January 2002.

  1070. Joshua Knowles and David Corne. On Metrics for Comparing Nondominated Sets, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 711--716, IEEE Service Center, Piscataway, New Jersey, May 2002

  1071. Joshua D. Knowles and David W. Corne. Enumeration of Pareto optimal multi-criteria spanning trees - a proof of the incorrectness of Zhou and Gen's proposed algorithm, European Journal of Operational Research, Volume 143, Issue 3, pp. 543--547, December 2002.

  1072. Joshua D. Knowles and David W. Corne. Towards landscape analyses to inform the design of a hybrid local search for the multiobjective quadratic assignment problem, In A. Abraham, J. Ruiz-del-Solar, M. Köppen (eds.), Soft Computing Systems: Design, Management and Applications, IOS Press, Amsterdam, pp. 271--279, ISBN 1-58603-297-6, 2002.

  1073. Joshua Knowles and David Corne. Properties of an Adaptive Archiving Algorithm for Storing Nondominated Vectors, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 2, pp. 100--116, April 2003 .

  1074. Joshua Knowles and David Corne. Instance Generators and Test Suites for the Multiobjective Quadratic Assignment Problem, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 295--310, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1075. Joshua D. Knowles, David W. Corne and Mark Fleischer. Bounded Archiving using the Lebesgue Measure, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2490--2497, IEEE Press, Canberra, Australia, December 2003 .

  1076. Joshua Knowles and David Corne. Bounded Pareto Archiving: Theory and Practice, in Xavier Gandibleux, Marc Sevaux, Kenneth Sörensen and Vincent T'kindt (editors), Metaheuristics for Multiobjective Optimisation, pp. 39--64, Springer. Lecture Notes in Economics and Mathematical Systems Vol. 535, Berlin, 2004 .

  1077. Joshua Knowles. ParEGO: A Hybrid Algorithm with On-line Landscape Approximation for Expensive Multiobjective Optimization Problems, Technical Report No. TR-COMPSYSBIO-2004-01, University of Manchester, UK, September 2004 .

  1078. Joshua Knowles and Evan J. Hughes. Multiobjective Optimization on a Budget of 250 Evaluations, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 176--190, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1079. Joshua Knowles and David Corne. Memetic Algorithms for Multiobjective Optimization: Issues, Methods and Prospects, in William E. Hart, N. Krasnogor and J.E. Smith (editors), Recent Advances in Memetic Algorithms, pp. 313--352, Springer. Studies in Fuzziness and Soft Computing, Vol. 166, 2005 .

  1080. Shigenobu Kobayashi, Koji Yoshida, and Masayuki Asada. Generating a Set of Pareto Optimal Decision Trees by Genetic Algorithms. EM>Journal of the Japanese Society for Artificial Intelligence, 11(5):725-732, September 1996.

  1081. Thomas E. Koch and Andreas Zell. MOCS: Multi-Objective Clustering Selection Evolutionary Algorithm, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 423--430, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  1082. Praveen Koduru, Sanjoy Das, Stephen Welch and Judith L. Roe. Fuzzy Dominance Based Multi-objective GA-Simplex Hybrid Algorithms Applied to Gene Network Models, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 356--367, Seattle, Washington, USA, June 2004 .

  1083. Praveen Koduru, Sanjoy Das, Stephen Welch and Judith L. Roe. A Multi-objective GA-Simplex Hybrid Approach for Gene Regulatory Network Models, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 2084--2091, Portland, Oregon, USA, June 2004 .

  1084. Esra Köktener Karasakal and Murat Köksalan. A Simulated Annealing Approach to Bicriteria Scheduling Problems on a Single Machine. Journal of Heuristics, 6(3):311-327, August 2000.

  1085. Ikeda Kokolo, Kita Hajime and Kobayashi Shigenobu. Failure of Pareto-based MOEAs: Does Non-dominated Really Mean Near to Optimal?, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 2, IEEE Service Center, Piscataway, New Jersey, pp. 957--962, May 2001 .

  1086. Joshua B. Kollat and Patrick M. Reed. The Value of Online Adaptive Search: A Performance Comparison of NSGAII, e-NSGAII and eMOEA, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 386--398, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1087. Michael Kolonko and Stefan Voget. Multidimensional Optimization with Genetic Algorithms using Fuzzy Fitness Functions. In Tagungsband der Fuzzy-Neuro-Systeme, 1997.

  1088. Dorothea Kolossa and Georg Grübel. Evolutionary Computation and Nonlinear Programming in Multi-model-robust Control Design, in Stefano Cagnoni et al. (eds.), Proceedings of Real World Applications of Evolutionary Computing. EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoRob, and EvoFlight, pp. 147--157, Springer. Lecture Notes in Computer Science Vol. 1803, Edinburgh, Scotland, April 2000.

  1089. Dorothea Kolossa, Bert-Uwe Köhler, Markus Conrath and Reinhold Orglmeister. Optimal Permutation Correction by Multiobjective Genetic Algorithms, in T.-W. Lee, T.-P. Jung, S. Makeig and T.J. Sejnowski (editors), 3rd International Conference on Independent Component Analysis and Blind Signal Separation (ICA'2001), December 2001.

  1090. Ken-ichirou Komatsu, Tadashi Ishihara and Hikaru Inooka. Genetic Algorithm with Redundant Chromosome and its Application to Control Systems Design, in IEEE International Conference on Systems, Man, and Cybernetics, Vol. 5, pp. 547--552, IEEE, 1999.

  1091. Abdullah Konak and Alice E. Smith. Capacitated Network Design Considering Survivability: An Evolutionary Approach, Engineering Optimization, Vol. 36, No. 2, pp. 189--205, April 2004 .

  1092. Eric M. Koper, William D. Wood and Stephen W.Schneider. Aircraft antenna coupling minimization using genetic algorithms and approximations, IEEE Transactions on Aerospace and Electronic Systems, Vol. 40, No. 2, pp. 742--751, April 2004 .

  1093. Mario Köppen and S. Rudlof. Multiobjective Optimization by Nessy Algorithm, In R. Roy, T. Furuhashi, and P.K. Chawdhry, editors, Advances in Soft Computing, pages 357-368, London, 1998. Springer.

  1094. Mario Köppen. On the Benchmarking of Multiobjective Optimization Algorithm, in Vasile Palade, Robert J. Howlett and Lakhmi C. Jain (editors), Proceedings of the 7th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2003). Part I, pp. 379--385, Springer. Lecture Notes on Computer Science Vol. 2773, Oxford, UK, September 2003.

  1095. Mario Köppen, Katrin Franke and Bertram Nickolay. Fuzzy-Pareto-Dominance Driven Multiobjective Genetic Algorithm, in Proceedings of the 10th IFSA World Congress (IFSA 2003), pp. 450--453, Istanbul, Turkey, June 2003.

  1096. Mario Köppen, Raul Vicente-Garcia and Betram Nickolay. Fuzzy-Pareto-Dominance and Its Application in Evolutionary Multi-objective Optimization, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 399--412, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1097. Arthur Kordon, Elsa Jordaan, Lawrence Chew, Guido Smits, Torben Bruck, Keith Haney and Annika Jeningsin. Biomass Inferential Sensor Based on Ensemble of Models Generated by Genetic Programming, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 1078--1089, Seattle, Washington, USA, June 2004 .

  1098. Konstantinos Koukoulakis and Yun Li. Benchmarking Cost-Assignment Schemes for Multi-objective Evolutionary Algorithms, in Stefano Cagnoni et al. (eds.), Proceedings of Real World Applications of Evolutionary Computing. EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoRob, and EvoFlight, pp. 158--167, Springer. Lecture Notes in Computer Science Vol. 1803, Edinburgh, Scotland, April 2000.

  1099. Skander Kort. Schemata-Driven Multi-objective Optimization, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 192--206, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1100. M. Krause and V. Nissen. On Using Penalty Functions and Multicriteria Optimisation Techniques in Facility Layout. In J. Biethahn and V. Nissen, editors, Evolutionary Algorithms in Management Applications. Springer-Verlag, Berlin, 1995.

  1101. Stanislaw Krenich. Multicriteria Design Optimization of Robot Gripper Mechanisms, in Tadeusz Burczyński and Andrzej Osyczka (editors), IUTAM Symposium on Evolutionary Methods in Mechanics, pp. 207--218, Kluwer Academic Publishers, Dordrecht/Boston/London, 2004, ISBN 1-4020-2266-2 .

  1102. Stanislaw Krenich and Andrzej Osyczka. Optimal Design of Multiple Clutch Brakes Using a Multistage Evolutionary Method, in Tadeusz Burczyński and Andrzej Osyczka (editors), IUTAM Symposium on Evolutionary Methods in Mechanics, pp. 219--228, Kluwer Academic Publishers, Dordrecht/Boston/London, 2004, ISBN 1-4020-2266-2 .

  1103. Saku Kokkonen and Jouni Lampinen. Mechanical Component Design for Multiple Objectives Using Generalized Differential Evolution, in I.C. Parmee (editor), Adaptive Computing in Design and Manufacture VI, pp. 261--272, Springer, London, 2004 .

  1104. Saku Kukkonen and Jouni Lampinen. An Extension of Generalized Differential Evolution for Multi-objective Optimization with Constraints, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 752--761, Birmingham, UK, September 2004 .

  1105. Sadan Kulturel-Konak. Facility Layout and Relayout under Uncertainty, PhD Thesis, Industrial and Systems Engineering Department, Auburn University, Auburn, Alabama, USA, May 2002 (abstract).

  1106. Rajeev Kumar and Peter I. Rockett. Assessing the Convergence of Rank-Based Multiobjective Genetic Algorithms, In Proceedings of the 2nd IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA'97), pages 19-23, Glasgow, Scotland, September 1997. IEE.

  1107. Rajeev Kumar and Peter Rockett. Decomposition of High Dimensional Pattern Spaces for Hierarchical Classification. In Proceedings of the Workshop on Statistical Techniques in Pattern Recognition, Prague, Czech Republic, June 1997.

  1108. Rajeev Kumar and Peter Rockett. Decomposition of High Dimensional Pattern Spaces for Hierarchical Classification. Kybernetika, 34(4):435-442, 1998.

  1109. Rajeev Kumar and Peter Rockett. Multiobjective Genetic Algorithm Partitioning for Hierarchical Learning of High-Dimensional Pattern Spaces: A Learning-Follows-Decomposition Strategy. IEEE Transactions on Neural Networks, 9(5):822-830, 1998.

  1110. Rajeev Kumar, N. Vinay Kumar, and I. J. Nagrath. Object oriented toolkit for multiobjective genetic optimisation, In 3rd International Conference on Computational Intelligence and Multimedia Applications, pp. 96--10, IEEE, New Delhi, India, September 1999.

  1111. Rajeev Kumar. On Generalisation of Machine Learning with Neural-Evolutionary Computations, in Proceedings of the Third International Conference on Computational Intelligence and Multimedia Applications (ICCIMA'99), pp. 112--116, IEEE Computer Society Press, Los Alamitos, California, 1999.

  1112. Rajeev Kumar. Codebook Design for Vector Quantisation using Multiobjective Genetic Algorithms, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.

  1113. Rajeev Kumar, S. Prasanth, and M.S. Sudarshan. Topological Design of Mesh Communication Networks using Multiobjecitve Genetic Optimisation, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.

  1114. Rajeev Kumar, V. Prasanna Krishnan and Kartik S. Santhanakrishnan. Design of an Optimal Communication Network Using Multiobjective Genetic Optimization, in Proceedings of the IEEE International Conference on Industrial Technology, Vol. 1, pp. 515--520, 2000.

  1115. Sujay V. Kumar and S. Ranji Ranjithan. Evaluation of the Constraint Method-Based Evolutionary Algorithm (CMEA) for a Tree-Objective Optimization Problem, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 431--438, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  1116. Rajeev Kumar, Prajna P. Parida and Mohit Gupta. Topological Design of Communication Networks using Multiobjective Genetic Optimization, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 425--430, IEEE Service Center, Piscataway, New Jersey, May 2002

  1117. Rajeev Kumar and Peter Rockett. Improved Sampling of the Pareto-Front in Multiobjective Genetic Optimizations by Steady-State Evolution: A Pareto Converging Genetic Algorithm, Evolutionary Computation, Vol. 10, No. 3, pp. 283--314, Fall 2002.

  1118. Rajeev Kumar and Peter Rockett. Evolutionary Multimodal Optimization Revisited, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 1592--1593, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003 .

  1119. Rajeev Kumar and Nilanjan Banerjee. Multicriteria Network Design Using Evolutionary Algorithm, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 2179--2190, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003 .

  1120. Rajeev Kumar. On Machine Learning with Multiobjective Genetic Optimization, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 393--425, World Scientific, Singapore, 2004.

  1121. Rajeev Kumar, P.K. Singh and P.P. Chakrabarti. Multiobjective EA Approach for Improved Quality of Solutions for Spanning Tree Problem, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 811--825, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1122. A. Kumar, D. Sahoo, S. Chakraborty and N. Chakraborti. Gas injection in steelmaking vessels: Coupling a fluid dynamic analysis with a genetic algorithms-based pareto-optimality, Materials and Manufacturing Processes, Vol. 20, No. 3, pp. 363--379, 2005 .

  1123. Rajeev Kumar and Nilanjan Banerjee. Running time analysis of a multiobjective evolutionary algorithm on simple and hard problems, in Alden H. Wright, Michael D. Vose, Kenneth A. De Jong and Lothar M. Schmitt (editors), Foundations of Genetic Algorithms. 8th International Workshop, FOGA 2005, Springer, Lecture Notes in Computer Science Vol. 3469, pp. 112--131, Aizu-Wakamatsu City, Japan, January 2005 .

  1124. M. Kumral. Application of chance-constrained programming based on multi-objective simulated annealing to solve a mineral blending problem, Engineering Optimization, Vol. 35, No. 6, pp. 661--673, December 2003 .

  1125. Sourav Kundu, Seichi Kawata, and A. Watanabe. Optimal control system design using a Pareto genetic algorithm. In Proceedings of the Joint System and Information '95 Symposium, pages 53-59, Toyama, Japan, November 1995. SICE.

  1126. Sourav Kundu and Andrzej Osyczka. The effect of genetic algorithm selection mechanisms on multicriteria optimization using the distance method. In Proceedings of the Fifth International Conference on Intelligent Systems, pages 164-168, Reno, Nevada, 1996. International Society for Computers and Their Applications (ISCA).

  1127. Sourav Kundu, S. Kawata, and A. Watanabe. A multicriteria approach to control system design with genetic algorithm. In Proceedings of the International Federation of Automatic Control (IFAC'96)--13th World Congress, volume D, pages 315-320, Klidington, UK, 1996. Elsevier Science.

  1128. Sourav Kundu. A multicriteria genetic algorithm to solve optimization problems in structural engineering design. In B. Kumar, editor, Information Processing in Civil and Structural Engineering Design, pages 225-233, Glasgow, Scotland, August 1996. Civil-Comp Press Ltd.

  1129. Sourav Kundu and Andrzej Osyczka. Genetic multicriteria optimization of structural systems. In Proceedings of the 19th International Congress on Theoretical and Applied Mechanics (ICTAM 1996), page 272, Kyoto, Japan, August 1996. International Union of Theoretical and Applied Mechanics (IUTAM). Volumen of Abstracts.

  1130. Sourav Kundu and Seichi Kawata. A GA-based state feedback design method using bicriterion performance index and tournament selection. In Proceedings of the Fifth International Conference on Intelligent Systems, pages 169-173, Reno, Nevada, 1996. International Society for Computers and Their Applications (ISCA).

  1131. Sourav Kundu and Seichi Kawata. AI in Control System Design Using a New Paradigm for Design Representation. In J. S. Gero and F. Sudweeks, editors, Artificial Intelligence in Design, pages 135-150. Kluwer Academic Publishers, The Netherlands, 1996.

  1132. Sourav Kundu. A Note on Optimality vs. Stability--A Genetic Algorithm based Approach,In Proceedings of the Third World Congress of Structural and Multidisciplinary Optimization (WCSMO), Buffalo, New York, May 1999.

  1133. Sourav Kundu and Seiichi Kawata. Evolutionary Multicriteria Optimization for Improved Design of Optimal Control Systems, in I.C. Parmee (Editor), Proceedings of the Fifth International Conference on Adaptive Computing Design and Manufacture (ACDM 2002), pp. 207--218, Springer-Verlag, University of Exeter, Devon, UK, April 2002 .

  1134. Pascale Kuntz, Rémi Lehn and Henri Briand. Dynamic Rule Graph Drawing by Genetic Search, in IEEE International Conference on Systems, Man, and Cybernetics, Vol. 4, pp. 2481--2486, 2000.

  1135. Simon Künzli, Stefan Bleuler, Lothar Thiele and Eckart Zitzler. A Computer Engineering Benchmark Application for Multiobjective Optimizers, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 269--294, World Scientific, Singapore, 2004.

  1136. M.A. Kupinski and M.A. Anastasio. Multiobjective Genetic Optimization of Diagnostic Classifiers with Implications for Generating Receiver Operating Characteristic Curves, IEEE Transactions on Medical Imaging, Vol. 18, No. 8, pp. 675--685, 1999 .

  1137. Setsuya Kurahashi and Takao Terano. A Genetic Algorithm with Tabu Search for Multimodal and Multiobjective Function Optimization. In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee, and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 291-298, San Francisco, California, 2000. Morgan Kaufmann.

  1138. A. Kurpati and S. Azarm. Immune Network Simulation with Multiobjective Genetic Algorithms for Multidisciplinary Design Optimization. Engineering Optimization, 33:245-260, 2000 .

  1139. A. Kurpati, S. Azarm and J. Wu. Constraint handling improvements for multi-objective genetic algorithms, Structural and Multidisciplinary Optimization, Vol. 23, No. 3, pp. 204--213, April 2002 .

  1140. Frank Kursawe. A variant of evolution strategies for vector optimization, In H. P. Schwefel and R. Männer, editors, Parallel Problem Solving from Nature. 1st Workshop, PPSN I, volume 496 of Lecture Notes in Computer Science, pages 193-197, Berlin, Germany, oct 1991. Springer-Verlag.

  1141. Frank Kursawe. Evolution strategies for vector optimization, In Preliminary Procedings of the Tenth International Conference on Multiple Criteria Decision Making, pages 187-193, Taipei, China, July 1992. National Chiao Tung University.

  1142. Andrew Kusiak. Evolutionary Computation and Data Mining, in B. Gopalakrishnan and A. Gunasekaran (Eds) Proceedings of the SPIE Conference on Intelligent Systems and Advanced Manufacturing, SPIE, Vol. 4192, pp. 1--10, Boston, Massachussets, November 2000 .

  1143. Sam Kwong and H.W. Chong. A Genetic Algorithm for Joint Optimization of Spare Capacity and Delay in Self-Healing Network, in in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 732--736, Vol. 2, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

    1144. L

  1144. P. Lacomme, C. Prins and M. Sevaux. Multiobjective Capacitated Arc Routing Problem, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 550--564, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1145. N.D. Lagaros, V. Plevris and M. Papadrakakis. Multi-objective design optimization using cascade evolutionary computations, Computer Methods in Applied Mechanics and Engineering, Vol. 194, Nos. 30--33, pp. 3496--3515, 2005 .

  1146. Nikos D. Lagaros, Manolis Papadrakakis and Vagelis Plevris. Multiobjective Optimization of Space Structures under Static and Seismic Loading Conditions, in Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors), Evolutionary Multiobjective Optimization: Theoretical Advances And Applications, pp. 273--300, Springer-Verlag, London, ISBN 1-85233-787-7, 2005 .

  1147. José Ruben Felipe Lagunas Jiménez. Sintonización de controladores PID mediante un algoritmo genético multiobjetivo (NSGA-II), PhD thesis, Departamento de Control Automático, CINVESTAV-IPN, México, D.F., April 2004 (in Spanish) .

  1148. Michael Lahanas. Anatomy-based three-dimensional dose optimization in brachytherapy using multiobjective genetic algorithms, Medical Physics, Vol. 26, No. 9, pp. 1904--1918, September 1999.

  1149. Michael Lahanas, Natasa Milickovic, Dimos Baltas, and Nikolaos Zamboglou. Application of Multiobjective Evolutionary Algorithms for Dose Optimization Problems in Brachytherapy. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 574-587. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 .

  1150. Michael Lahanas, Eduard Schreibmann, Natasa Milickovic and Dimos Baltas. Intensity Modulated Beam Radiation Therapy Dose Optimization with Multiobjective Evolutionary Algorithms, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 648--661, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1151. Michael Lahanas, Eduard Schreibmann and Dimos Baltas. Multiobjective inverse planning for intensity modulated radiotherapy with constraint-free gradient-based optimization algorithms, Physics in Medicine and Biology, Vol. 48, pp. 2843--2871, September 2003.

  1152. Michael Lahanas. Application of Multiobjective Evolutionary Optimization Algorithms in Medicine, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 365--391, World Scientific, Singapore, 2004.

  1153. Gary B. Lamont, Mark P. Kleeman and Richard O. Day. Multi-Objective Evolutionary Algorithms for Computer Science Applications, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 451--481, World Scientific, Singapore, 2004.

  1154. Jesus Dario Landa Silva. Metaheuristic and Multiobjective Approaches for Space Allocation, PhD thesis, School of Computer Science and Information Technology, University of Nottingham, UK, November 2003 (abstract) .

  1155. J. Dario Landa Silva, Edmund K. Burke and Sanja Petrovic. An Introduction to Multiobjective Metaheuristics for Scheduling and Timetabling, in Xavier Gandibleux, Marc Sevaux, Kenneth Sörensen and Vincent T'kindt (editors), Metaheuristics for Multiobjective Optimisation, pp. 91--129, Springer. Lecture Notes in Economics and Mathematical Systems Vol. 535, Berlin, 2004 .

  1156. J.D. Landa Silva and E.K. Burke. Using Diversity to Guide the Search in Multi-Objective Optimization, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 727--751, World Scientific, Singapore, 2004.

  1157. Birger Landwehr. A Genetic Algorithm based Approach for Multi-Objective Data-Flow Graph Optimization, in Proceedings of the Asia and South Pacific Design Automation Conference 1999 (ASP-DAC'99), IEEE, pp. 355--358, Wanchai, Hong Kong, January 1999.

  1158. P.C.R. Lane and F. Gobet. Discovering predictive variables when evolving cognitive models, Pattern Recognition and Data Mining, Pt 1, Proceedings, Springer, pp. 108--117, Lecture Notes in Computer Science Vol. 3686, 2005 .

  1159. William B. Langdon. Evolving data structures using genetic programming, In Larry Eshelman, editor, Proceedings of the Sixth International Conference on Genetic Algorithms (ICGA'95), pages 295-302, Pittsburgh, PA, July 1995. Morgan Kaufmann.

  1160. William B. Langdon. Pareto, Population Partitioning, Price and Genetic Programming, Research Note RN/95/29, University College London, Gower Street, London WC1E 6BT, UK, April 1995.

  1161. William B. Langdon. Evolving data structures using genetic programming, Research Note RN/95/1, University College London, Gower Street, London WC1E 6BT, UK, January 1995.

  1162. William B. Langdon. Data Structures and Genetic Programming. Research Note RN/95/70, University College London, Gower Street, London WC1E 6BT, UK, September 1995.

  1163. William B. Langdon. Data structures and genetic programming. In Peter J. Angeline and Kenneth E. Kinnear, Jr., editors, Advances in Genetic Programming 2, chapter 20, pages 395-414. MIT Press, Cambridge, MA, USA, 1996.

  1164. William B. Langdon. Using Data Structures within Genetic Programming, In John R. Koza, David E. Goldberg, David B. Fogel, and Rick L. Riolo, editors, Genetic Programming 1996: Proceedings of the First Annual Conference, pages 141-148, Stanford University, CA, USA, 28-31 July 1996. MIT Press.

  1165. William B. Langdon. Using Data Structures within Genetic Programming. Research Note RN/96/1, University College London, Gower Street, London WC1E 6BT, UK, January 1996.

  1166. William B. Langdon. Scheduling Maintenance of Electrical Power Transmission Networks Using Genetic Programming. Research Note RN/96/49, University College London, Gower Street, London WC1E 6BT, UK, June 1996.

  1167. William B. Langdon. Scheduling Maintenance of Electrical Power Transmission Networks Using Genetic Programming, In John R. Koza, editor, Late Breaking Papers at the GP-96 Conference, pages 107-116, Stanford, CA, USA, 28-31 July 1996. Stanford Bookstore.

  1168. W. B. Langdon. Scheduling Maintenance of Electrical Power Transmission Networks Using Genetic Programming. In The 1st Online Workshop on Soft Computing (WSC1). Research Group on ECOmp of the Society of Fuzzy Theory and Systems (SOFT), Nagoya University, Japan, August 1996.

  1169. W. B. Langdon. Data Structures and Genetic Programming. PhD thesis, University College, London, September 1996.

  1170. W. B. Langdon and P. C. Treleaven. Scheduling Maintenance of Electrical Power Transmission Networks Using Genetic Programming. In Kevin Warwick, Arthur Ekwue, and Raj Aggarwal, editors, Artificial Intelligence Techniques in Power Systems, chapter 10, pages 220-237. IEE, 1997.

  1171. W. B. Langdon. Scheduling Planned Maintenance of Electrical Power Transmission Networks Using Genetic Algorithms. In Gennady K. Voronovsky and Serguey A. Sergeev, editors, Artificial Neural Networks and Genetic Algorithms in Power Engineering. OSNOVA, Ukraine, 1997. (in Russian).

  1172. William B. Langdon. Data Structures and Genetic Programming: Genetic Programming + Data Structures = Automatic Programming! Kluwer, Boston, April 1998.

  1173. S.P. Larcombe and N.A. Thacker. Using Genetic Algorithms to Automate System Implementation in a Novel Three-Dimensional Packaging Technology. In Proceedings of IEEE ICCD, 1996.

  1174. S.P. Larcombe, D.J. Prendergast, N.A. Thacker, and P.A. Ivey. Initial Development of a Genetic Algorithm to Automate System Implementation in a Novel Electronic Packaging Technology. In Proceedings of GALESIA'97, Glasgow, September 1997.

  1175. Marco Laumanns, Günter Rudolph, and Hans-Paul Schwefel. A Spatial Predator-Prey Approach to Multi-Objective Optimization: A Preliminary Study, In A. E. Eiben, M. Schoenauer, and H.-P. Schwefel, editors, Parallel Problem Solving From Nature -- PPSN V, pages 241-249, Amsterdam, Holland, 1998. Springer-Verlag.

  1176. Marco Laumanns, Günter Rudolph, and Hans-Paul Schwefel. Approximating the Pareto Set: Concepts, Diversity Issues, and Performance Assessment, Technical Report CI-72/99, Dortmund: Department of Computer Science/LS11, University of Dortmund, Germany, March 1999. ISSN 1433-3325.

  1177. Marco Laumanns, Eckart Zitzler, and Lothar Thiele. A Unified Model for Multi-Objective Evolutionary Algorithms with Elitism, In 2000 Congress on Evolutionary Computation, volume 1, pages 46-53, Piscataway, New Jersey, July 2000. IEEE Service Center.

  1178. Marco Laumanns, Günter Rudolph, and Hans-Paul Schwefel. Adaptive Mutation Control in Panmictic and Spatially Distributed Multi-Objective Evolutionary Algorithms, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), September 2000.

  1179. Nando Laumanns, Marco Laumanns, and Dirk Neunzig. Multi-objective Design Space Exploration of Road Trains with Evolutionary 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 612-623. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 .

  1180. Marco Laumanns, Eckart Zitzler, and Lothar Thiele. On the Effects of Archiving, Elitism, and Density Based Selection in Evolutionary Multi-objective 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 181-196. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 .

  1181. Marco Laumanns, Günter Rudolph, and Hans-Paul Schwefel. Mutation Control and Convergence in Evolutionary Multi-Objective Optimization. In R. Matousek and P. Osmera (eds.), Proceedings of the 7th International Mendel Conference on Soft Computing (MENDEL 2001), Brno University of Technology, pp. 24--29, Brno, Czech Republic, June 2001 .

  1182. Marco Laumanns, Lothar Thiele, Kalyanmoy Deb and Eckart Zitzler On the Convergence and Diversity-Preservation Properties of Multi-Objective Evolutionary Algorithms, Technical Report 108, Computer Engineering and Networks Laboratory (TIK), Swiss Federal Institute of Technology (ETH) Zurich, Gloriastrasse 35, CH-8092 Zurich, Switzerland, May 2001.

  1183. Nando Laumanns, Marco Laumanns, and Harmut Kitterer. Evolutionary Multi-Objective Integer Programming for the Design of Adaptive Cruise Control Systems, in Tim Hendtlass and Moonis Ali (editors), Proceedings of the Fifteenth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE-2002), pp. 200--210, Springer-Verlag. Lecture Notes in Artificial Intelligence Vol. 2358, Cairns, Australia, June 2001.

  1184. Marco Laumanns, Eckart Zitzler and Lother Thiele. Multiple Criteria Decision Support by Evolutionary Computation, in L.M. Hilty and P.W. Gilgen (editors), Sustainability in the Information Society, 15th International Symposium Informatics for Environmental Protection, Verlag, Zurich, October 2001.

  1185. Marco Laumanns, Lothar Thiele, Eckart Zitzler and Kalyanmoy Deb. Archiving with Guaranteed Convergence and Diversity in Multi-Objective Optimization, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 439--447, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  1186. Marco Laumanns, Lothar Thiele, Eckart Zitzler, Emo Welzl and Kalyanmoy Deb. Running Time Analysis of Multi-objective Evolutionary Algorithms on a Simple Discrete Optimization Problem, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 44--53, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002 .

  1187. Marco Laumanns, Lothar Thiele, Kalyanmoy Deb and Eckart Zitzler. Combining Convergence and Diversity in Evolutionary Multi-objective Optimization, Evolutionary Computation, Vol. 10, No. 3, pp. 263--282, Fall 2002 .

  1188. Marco Laumanns and Jiri Ocenasek. Bayesian Optimization Algorithms for Multi-objective Optimization, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 298--307, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002.

  1189. Marco Laumanns. Analysis and Applications of Evolutionary Multiobjective Optimization Algorithms, PhD thesis, Swiss Federal Institute of Technology, Zürich, Switzerland, 2003 (abstract) .

  1190. Marco Laumanns, Lothar Thiele and Eckart Zitzler, Running Time Analysis of Multiobjective Evolutionary Algorithms on Pseudo-Boolean Functions, IEEE Transactions on Evolutionary Computation, Vol. 8, No. 2, pp. 170--182, April 2004 .

  1191. M. Laumanns and N. Laumanns. Evolutionary multiobjective design in automotive development, Applied Intelligence, Vol. 23, No. 1, pp. 55--70, July 2005 .

  1192. Marco Laumanns. Self Adaptation and Convergence of Multiobjective Evolutionary Algorithms in Continuous Search Spaces, in Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors), Evolutionary Multiobjective Optimization. Theoretical Advances and Applications, pp. 33--53, Springer, USA, 2005 .

  1193. Michelle R. Lavagna and Amalia Ercoli Finzi, Concurrent Processes within Preliminary Spacecraft Design: An Autonomous Decisional Support Based on Genetic Algorithms and Analytic Hierarchical Process, in Proceedings of the 17th International Symposium on Space Flight Dynamics, Moscow, Russia, June 2003 .

  1194. M. Lavagna, A. Povoleri and A.E. Finzi.Interplanetary mission design with aero-assisted manoeuvres multi-objective evolutive optimization, Acta Astronautica, Vol. 57, Nos. 2--8, pp. 498--509, July-October 2005 .

  1195. A. Lazzaretto and A. Toffolo. Energy, economy and environment as objectives in multi-criterion optimization of thermal systems design, Energy, Vol. 29, No. 8, pp. 1139--1157, June 2004 .

  1196. M. A. Lee and R. Hartani. A Multiobjective Evolutionary Algorithms Approach to Fuzzy Modelling. In Proceedings of the Second Annual Joint Conference on Information Sciences (JCIS'95), pages 460-463, Wrightsville Beach, North Carolina, 1995.

  1197. Michael A. Lee, Henrik Esbensen, and Laurent Lemaitre. The Design of Hybrid Fuzzy/Evolutionary Multiobjective Optimization Algorithms. In Proceedings of the 1995 IEEE/Nagoya University World Wiseperson Workshop, pages 118-125, Nagoya, Japan, 1995.

  1198. Jongsoo Lee and Prabhat Hajela. Parallel Genetic Algorithm Implementation in Multidisciplinary Rotor Blade Design. Journal of Aircraft, 33(5):962-969, September-October 1996.

  1199. M. A. Lee and H. Esbensen. Set Quality Measures for Characterizing Multiobjective Optimization Algorithm Behavior. In Procedings of the North American Fuzzy Information Processing Society (NAFIPS'96), Berkeley, California, 1996.

  1200. M. A. Lee and H. Esbensen. Constructing Fuzzy/Evolutionary Multiobjective Optimization Algorithms. In Proceedings of the International IEEE Conference on Fuzzy System (FUZZ-IEEE'96), New Orleans, Louisiana, 1996.

  1201. M. A. Lee and H. Esbensen. Multiobjective Optimization using Fuzzy/Evolutionary Algorithms. In Proceedings of the International Society for Computers and Their Applications (ISCA'96), San Francisco, California, 1996.

  1202. Michael A. Lee and Henrik Esbensen. Automatic Construction of Fuzzy Controllers for Evolutionary Multiobjective Optimization Algorithms, in Proceedings of the Fifth IEEE International Conference on Fuzzy Systems, Vol. 2, pp. 1518--1523, 1996.

  1203. Michael A. Lee and Henrik Esbensen. Evolutionary Algorithms Based Multiobjective Optimization Techniques for Intelligent Systems Design, in 1996 Biennial Conference of the North America Fuzzy Information Processing Society (NAFIPS'96), pp. 360--364, 1996.

  1204. M. A. Lee and H. Esbensen. Fuzzy/Multiobjective Genetic Systems for Intelligent Systems Design Tools and Components, In Witold Pedrycz, editor, Fuzzy Evolutionary Computation, pages 57-80. Kluwer Academic Publishers, Boston, Massachusetts, 1997.

  1205. Dongkon Lee. Multiobjective Design of a Marine Vehicle with Aid of Design Knowledge. International Journal for Numerical Methods in Engineering, 40:2665-2677, 1997.

  1206. T.H. Lee, K.C. Tan and E.F. Khor. Control System Design Unification and Automation---A Way Forward in CACSD via Evolutionary Computation, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, pp. 152--161, IEEE Service Center, Piscataway, New Jersey, 2001 .

  1207. In-Hee Lee, Soo-Yong Shin and Byoung-Tak Zhang. DNA Sequence Optimization Using Constrained Multi-Objective Evolutionary Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2270--2276, IEEE Press, Canberra, Australia, December 2003 .

  1208. Yann Lefablec. Optimisation par algorithmes génétiques parallèles et multi-objectifs. , Thesis, 1995. (in French).

  1209. Patrick Christopher Leger. Automated Synthesis and Optimization of Robot Configurations: An Evolutionary Approach. PhD thesis, The Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, December 1999.

  1210. Shi Lei and Yao Pingjing. Multi-objective Evolutionary Algorithms for MILP and MINLP in Process Synthesis, Chinese Journal of Chemical Engineering, Vol. 9,No. 2, pp. 173--178, May 2001.

  1211. Héctor A. Leiva, Susana C. Esquivel and Raúl H. Gallard. Multiplicity and Local Search in Evolutionary Algorithms to Build the Pareto Front, in Proceedings of the XX International Conference of the Chilean Computer Science Society, pp. 7--13, IEEE Computer Society Press, Piscataway, New Jersey, 2000.
    1212. .

  1212. Matej Leps. Single and Multi-Objective Optimization in Civil Engineering, in William Annicchiarico, Jacques Périaux, Miguel Cerrolaza and Gabriel Winter (editors), Evolutionary Algorithms and Intelligent Tools in Engineering Optimization, pp. 322--342, WIT Press, CIMNE Barcelona, Southampton, Boston, 2005, ISBN 1-84564-038-1 .

  1213. Yiu-Wing Leung and Yuping Wang. Multiobjective Programming Using Uniform Design and Genetic Algorithm, IEEE Transactions on Systems, Man, and Cybernetics---Part C: Applications and Reviews, Vol. 30, No. 3, pp. 293--304, August 2000 .

  1214. Kwong-Sak Leung and Yong Liang. Adaptive Elitist-Population Based Genetic Algorithm for Multimodal Function Optimization, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 1160--1171, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003 .

  1215. Jung-Ho Lewe. A Spotlight Search Method for Multi-Criteria Optimization Problems, in Proceedings of the 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, American Institute of Aeronautics and Astronautics. AIAA 2002-5432, Atlanta, Georgia, September 2002.

  1216. Andrew Lewis and David Abramson. An Evolutionary Programming Algorithm for Multi-Objective Optimisation, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1926--1932, IEEE Press, Canberra, Australia, December 2003 .

  1217. Geoff Leyland. Multi-Objective Optimisation Applied to Industrial Energy Problems, PhD Thesis, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, May 2002 (abstract) .

  1218. J.C. Leyva and E. Fernández. A genetic algorithm for deriving final ranking from a fuzzy outranking relation. Foundations of Computing and Decision Sciences, 24(1):33-47, 1999.

  1219. Juan Carlos Leyva-López and Eduardo Fernández-González. A new method for group decision support based on ELECTRE III methodology, European Journal of Operational Research, Vol. 148, No. 1, pp. 14--27, July 2003 .

  1220. Juan Carlos Leyva-Lopez and Miguel Angel Aguilera-Contreras. A Multiobjective Evolutionary Algorithm for Deriving Final Ranking from a Fuzzy Outranking Relation, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 235--249, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1221. Yinzhen Li, Mitsuo Gen, and Kenichi Ida. Evolutionary Computation for Multicriteria Solid Transportation Problem with Fuzzy Numbers. In Thomas Bäck, Zbigniew Michalewicz, and Hiroaki Kitano, editors, Proceedings of the Third IEEE Conference on Evolutionary Computation, pages 596-601, Piscataway, New Jersey, 1996. IEEE Service Center.

  1222. Yinzhen Li, Kenichi Ida and Mitsuo Gen. Evolutionary Program for Multicriteria Solid Transportation Problem with Fuzzy Numbers, in IEEE International Conference on Systems, Man and Cybernetics, IEEE, Vol. 3, pp. 1960--1965, 1996.

  1223. Yinzhen Li, Kenichi Ida, and Mitsuo Gen. Improved Genetic Algorithm for Solving Multiobjective Solid Transportation Problem with Fuzzy Numbers. Computers in Industrial Engineering, 33(3-4):589-592, 1997.

  1224. Y. Li and K.F. Man. Scheduling and Planning Problem in Manufacturing Systems with Multiobjective Genetic Algorithm, in Proceedings of the 24th Annual Conference on the IEEE Industrial Electronics Society, Vol. 1, pp. 274--279, 1998.

  1225. Xiaodong Li, Tianzi Jiang, and D. J. Evans. Medical Image Reconstruction Using a Multi-objective Genetic Local Search Algorithm. International Journal on Computer Mathematics, 74(301-314), 2000.

  1226. Seereeram Li, Ravichandran Mehra, Robert Smith and Randal Beard.Multi-spacecraft Trajectory Optimization and Control using Genetic Algorithm Techniques, in IEEE Aerospace Conference Proceedings, Vol. 7, IEEE, pp. 99--108, 2000.

  1227. J. Li and N. Satofuka. Optimization design of a compressor cascade airfoil using a Navier-stokes solver and genetic algorithms, Proceedings of the Institution of Mechanical Engineering Part A---Journal of Power and Energy, Vol. 216, No. A2, pp. 195--202, 2002 .

  1228. Xiaodong Li. A Real-Coded Predator-Prey Genetic Algorithm for Multiobjective Optimization, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 207--221, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1229. Xiaodong Li. A Non-dominated Sorting Particle Swarm Optimizer for Multiobjective Optimization, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 37--48, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003 .

  1230. Hui Li, Qingfu Zhang, Edward Tsang, and John A. Ford. Hybrid Estimation of Distribution Algorithm for Multiobjective Knapsack Problem, in Jens Gottlieb and Günter R. Raidl (editors), Evolutionary Computation in Combinatorial Optimization, Proceedings of the 4th European Conference, EvoCOP 2004, Springer, pp. 145--154, Lecture Notes in Computer Science, Vol. 3004, April 2004 .

  1231. Xiaodong Li. Better Spread and Convergence: Particle Swarm Multiobjective Optimization Using the Maximin Fitness Function, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 117--128, Seattle, Washington, USA, June 2004 .

  1232. Weiqi Li. Finding Pareto-Optimal Set by Merging Attractors for a Bi-objective Traveling Salesmen Problem, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 797--810, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1233. Simon J. Liang and John M. Lewis. Job Shop Scheduling Using Multiple Criteria. In Proceedings of the Joint Hungarian-British Mechatronic Conference, pages 77-82. Computational Mechanics, September 1994.

  1234. G. E. Liepins, M. R. Hilliard, J. Richardson, and M. Palmer. Genetic algorithms application to set covering and travelling salesman problems. In D. E. Brown and C. C. White, editors, Operations research and Artificial Intelligence: The integration of problem-solving strategies, pages 29-57. Kluwer Academic, Norwell, Massachusetts, 1990.

  1235. P. Limbourg and D. Germann. Reliability Assessment and Optimization under Uncertainty in the Dempster-Shafer Framework, in 27th ESReDA SEMINAR, Glasgow, UK, 2004 .

  1236. Philipp Limbourg. Multi-objective Optimization of Problems with Epistemic Uncertainty, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 413--427, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1237. Dan Lin, Shouyang Wang and Hong Yan. A multiobjective genetic algorithm for portfolio selection, Working Paper, Institute of Systems Science, Academy of Mathematics and Systems Science Chinese Academy of Sciences, Beijing, China, 2001

  1238. Derek A. Linkens and H. Okola Nyongesa. A Distributed Genetic Algorithm for Multivariable Fuzzy Control, in IEE Colloquium on Genetic Algorithms for Control Systems Engineering, pp. 9/1--9/3, IEE, UK, 1993.

  1239. Shie-Yui Liong, Soon-Thiam Khu, and Weng Tat Chan. Novel Application of Genetic Algorithm and Neural Network in Water Resources: Development of Pareto Front. In Eleventh Congress of the International Association for Hydraulic Research--Asia and Pacific Division, pages 185-194, Yogyakarta, Indonesia, 1998.

  1240. Shie-Yui Liong, Soon-Thiam Khu, and Weng Tat Chan. Derivation of Pareto Front with Accelerated Convergence Genetic Algortithm (ACGA). In V. Babovic and L. C. Larsen, editors, Proceedings of the Third Hydroinformatics Conference, 1998.

  1241. Joanna Lis and A. E. Eiben. A Multi-Sexual Genetic Algorithm for Multiobjective Optimization, In Toshio Fukuda and Takeshi Furuhashi, editors, Proceedings of the 1996 International Conference on Evolutionary Computation, pages 59-64, Nagoya, Japan, 1996. IEEE.

  1242. Tamás Róbert Liszkai. Modern Heuristics in Structural Damage Detection using Frequency Response Functions, PhD thesis, Civil Engineering Department, Texas A&M University, USA, August 2003 (abstract) .

  1243. Tung-Kuan Liu, Tadashi Ishihara, and Hikaru Inooka. Multiobjective Control Systems Design by Genetic Algorithms, In Proceedings of the 34th Society of Instrument and Control Engineers Annual Conference, pages 1521-1526, 1995.

  1244. G.P. Liu and V. Kadirkamanathan. Learning with multi-objective criteria, in Fourth International Conference on Artificial Neural Networks, pp. 53--58, IEEE, 1995.

  1245. Tung-Kuan Liu, Tadashi Ishihara, and Hikaru Inooka. Design of Discrete-Time Control Systems by Multiobjective Genetic Algorithms, In Toshio Fukuda and Takeshi Furuhashi, editors, Proceedings of the 1996 IEEE IECON 22nd International Conference on Industrial Electronics, Control, and Instrumentation, pages 1618-1623. IEEE, 1996.

  1246. Chunlu Liu, Amin Hammad, and Yoshito Itoh. Multiobjective Optimization of Bridge Deck Rehabilitation Using a Genetic Algorithm. Journal of Computer-Aided Civil and Infrastructure Engineering, 12(3):431-443, November 1997.

  1247. Xiaojian Liu, D. W. Begg, and R. J. Fishwick. Genetic approach to optimal topology/controller design of adaptive structures. International Journal for Numerical Methods in Engineering, 41:815-830, 1998.

  1248. G.P. Liu and V. Kadirkamanathan. Multiobjective criteria for neural network structure selection and identification of nonlinear systems using genetic algorithms, IEE Proceedings on Control Theory and Applications, Vol. 146, No. 5, pp. 373--382, September 1999.

  1249. Juan Liu and Hitoshi Iba. Selecting Informative Genes Using a Multiobjective Evolutionary Algorithm, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 297--302, IEEE Service Center, Piscataway, New Jersey, May 2002.

  1250. G.P. Liu, J.B. Yang and J.F. Whidborne. Multiobjective Optimisation and Control, Research Studies Press Ltd., Baldock, England, 2003 .

  1251. Yi Liu. Software Reliability Engineering with Genetic Programming, PhD thesis, Florida Atlantic University, Boca Raton, Florida, August 2003 (abstract) .

  1252. Min Liu. Development of Multiobjective Optimization Procedures for Seismic Design of Steel Moment Frame Structures, PhD thesis, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA, 2003 (abstract).

  1253. Xavier Llorà, David E. Goldberg, Ivan Traus and Ester Bernadó. Accuracy, parsimony, and generality in evolutionary learning systems via multiobjective selection, in Learning Classifier Systems, Springer, Lecture Notes in Artificial Intelligence Vol. 2661, pp. 118--142, 2002.

  1254. Xavier Llorà and David E. Goldberg, Bounding the Effect of Noise in Multiobjective Learning Classifier Systems, Evolutionary Computation, Vol. 11, No. 3, pp. 279--298, Fall 2003 .

  1255. Chi-Chun Lo and Wei-Hsin Chang. A Multiobjective Hybrid Genetic Algorithm for the Capacitated Multipoint Network Design Problem, in 1999 IEEE International Conference on Communications, Vol. 3, pp. 1573--1576, 1999.

  1256. Chi-Chun Lo and Wei-Hsin Chang. A Multiobjective Hybrid Genetic Algorithm for Capacitated Multipoint Network Design Problem, IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics, 30(3):461-470, June 2000.

  1257. Jason D. Lohn, William F. Kraus and Gary L. Haith. Comparing a Coevolutionary Genetic Algorithm for Multiobjective Optimization, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1157--1162, IEEE Service Center, Piscataway, New Jersey, May 2002

  1258. Manuel López-Ibáñez, Luís Paquete and Thomas Stützle. On the Design of ACO for the Biobjective Quadratic Assignment Problem, in Marco Dorigo, Mauro Birattari, Christian Blum, Luca M. Gambardella, Francesco Mondada and Thomas Stützle (editors), Proceedings of the 4th International Workshop on Ant Colony Optimization and Swarm Intelligence, ANTS 2004, Belgium, Springer, Lecture Notes in Computer Science, Vol. 3172, pp. 214--225, 2004 .

  1259. Alexander V. Lotov, Vladimir A. Bushenkov and Georgy K. Kamenev. Interactive Decision Maps. Approximation and Visualization of Pareto Frontier, Kluwer Academic Publishers, Boston, Massachusetts, February 2004, ISBN 1-4020-7631-2 .

  1260. Daniel H. Loughlin and S. Ranjithan. The Neighborhood constraint method: A Genetic Algorithm-Based Multiobjective Optimization Technique. In Thomas Bäck, editor, Proceedings of the Seventh International Conference on Genetic Algorithms, pages 666-673, San Mateo, California, July 1997. Michigan State University, Morgan Kaufmann Publishers.

  1261. Daniel Hopkins Loughlin. Genetic Algorithm-Based Optimization in the Development of Tropospheric Ozone Control Strategies: Least Cost, Multiobjective, Alternative Generation, and Chance-Constrained Applications (Air Quality Management). PhD thesis, North Carolina State University, February 1998.

  1262. Daniel H. Loughlin, S. Ranji Ranjithan, E. Downey Brill Jr. and John W. Baugh Jr. Genetic Algorithm Approaches for Addressing Unmodeled Objectives in Optimization Problems, Engineering Optimization, Vol. 33, pp. 549--569, 2001 .

  1263. Sushil J. Louis and Gregory J. E. Rawlins. Pareto optimality, GA-easiness and deception. In Stephanie Forrest, editor, Proceedings of the Fifth International Conference on Genetic Algorithms, pages 118-123, University of Illinois at Urbana-Champaign, 1993. Morgan Kaufmann Publishers.

  1264. Sushil J. Louis. Genetic Algorithms as a Computational Tool for Design, PhD thesis, Department of Computer Science, Indiana University, aug 1993.

  1265. H.R. Lourenço, J.P. Paixâo and R. Portugal. Multiobjective metaheuristics for the bus-driver scheduling problem, Transportation Science, Vol. 35, No. 3, pp. 331--343, August 2001.

  1266. Haiming Lu and Gary G. Yen. Multiobjective Optimization Design via Genetic Algorithm, in Proceedings of the 2001 International Conference on Control Applications, IEEE, pp. 1190--1195, 2001.

  1267. Haiming Lu and Gary G. Yen. Rank-Density Based Multiobjective Genetic Algorithm, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 944--949, IEEE Service Center, Piscataway, New Jersey, May 2002

  1268. Haiming Lu and Gary G. Yen. Dynamic Population Size in Multiobjective Evolutionary Algorithms, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1648--1653, IEEE Service Center, Piscataway, New Jersey, May 2002.

  1269. Haiming Lu. State-of-the-art Multiobjective Evolutionary Algorithms---Pareto Ranking, Density Estimation and Dynamic Population, PhD thesis, Oklahoma State University, Stillwater, Oklahoma, August 2002 (abstract) .

  1270. Haiming Lu and Gary G. Yen. Rank-Density-Based Multiobjective Genetic Algorithm and Benchmark Test Function Study, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 4, pp. 325--343, August 2003 .

  1271. Chun Lu, Qiangfu Zhao, Wenjiang Pei and Zhenya He, A Multiple Objective Optimization Based GA for Designing Interpretable and Comprehensible Neural Network Trees, in Proceedings of the IEEE International Conference on Neural Networks and Signal Processing (ICNNSP03), pp. 518--521, IEEE, December 2003 .

  1272. Panta Lucic and Dusan Teodorovic. Simulated annealing for the multi-objective aircrew rostering problem. Transportation Research Part A, 33:19-45, 1999 .

  1273. Christian Daniel von Lücken Martínez. Algoritmos Evolutivos para Optimización Multiobjetivo: Un Estudio Comparativo en un Ambiente Paralelo Asíncrono, Masters thesis, Universidad Nacional de Asunción, Paraguay, 2003.

  1274. Guan-Chun Luh, Chung-Huei Chueh and Wei-Wen Liu. MOIA: Multi-Objective Immune Algorithm, Engineering Optimization, Volume 35, No. 2, pp. 143--164, April 2003 .

  1275. Sean Luke and Liviu Panait. Lexicographic Parsimony Pressure, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 829--836, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  1276. Kai-Yew Lum, Pierre-Marie Jacquart and Mourad Sefrioui. Constrained Optimization of Multilayered Anti-Reflection Coatings using Genetic Algorithms, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 172--177, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  1277. Erika Hernández Luna, Carlos A. Coello Coello and Arturo Hernández Aguirre. On the Use of a Population-Based Particle Swarm Optimizer to Design Combinational Logic Circuits, in Ricardo S. Zebulum, David Gwaltney, Gregory Hornby, Didier Keymeulen, Jason Lohn and Adrian Stoica (editors), Proceedings of the 2004 NASA/DoD Conference on Evolvable Hardware, pp. 183--190, IEEE Computer Society, Los Alamitos, California, June 2004 .

    1278. Erika Hernández Luna and Carlos A. Coello Coello. Using a Particle Swarm Optimizer with a Multi-Objective Selection Scheme to Design Combinational Logic Circuits, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 101--124, World Scientific, Singapore, 2004.

  1278. L. Luo, P.K. Kannan, B. Besharati and S. Azarm. Design of robust new products under variability: Marketing meets design, Journal of Product Innovation Management, Vol. 22, No. 2, pp. 177--192, March 2005 .

  1279. Naesung Lyu and Kazuhiro Saitou. Topology Optimization of Multi-Component Structures Via Decomposition-Based Assembly Synthesis, in Proceedings of the ASME 2003 Design Engineering Technical Conferences and Computers and Information in Engineering Conference (DETC'2003), Chicago, Illinois, September 2003 .

  1280. Naesung Lyu and Kazuhiro Saitou. Decomposition-Based Assembly Synthesis of a 3D Body-in-White Model for Structural Stiffness, in Proceedings of the 2003 ASME International Mechanical Engineering Congress (IMECE'03), ASME Press, Washington, D.C., November 15--21, 2003.

  1281. Naesung Lyu. Decomposition-Based Assembly Synthesis Based on Structural Considerations, PhD thesis, The University of Michigan, USA, 2004 (abstract).

  1282. N. Lyu and K. Saitou. Decomposition-based assembly synthesis of a three-dimensional body-in-white model for structural stiffness, Journal of Mechanical Design, Vol. 127, No. 1, pp. 34--48, January 2005 .

  1283. N. Lyu and K. Saitou. Topology optimization of multicomponent beam structure via decomposition-based assembly synthesis, Journal of Mechanical Design, Vol. 127, No. 2, pp. 170--183, March 2005 .

    1284. M

  1284. J.T. Ma and L.L. Lai. Evolutionary programming approach to reactive power planning, IEE Proceedings on Generation, Transmission and Distribution, Vol. 143, No. 4, pp. 365--370, July 1996.

  1285. Kenneth J. Mackin and Eiichiro Tazaki. Unsupervised training of Multiobjective Agent Communication using Genetic Programming, in Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technology, Vol. 2, pp. 738--741, IEEE, Brighton, UK, 2000.

  1286. Nateri K. Madavan. Multiobjective Optimization Using a Pareto Differential Evolution Approach, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1145--1150, IEEE Service Center, Piscataway, New Jersey, May 2002

  1287. J.F. Aguilar Madeira, H. Rodrigues and Heitor Pina. Genetic Methods in Multi-objective Optimization of Structures with an Equality Constraint on Volume, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 767--781, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1288. Y.L. Abdel-Magid and M.A. Abido. Optimal Multiobjective Design of Robust Power System Stabilizers Using Genetic Algorithms, IEEE Transactions on Power Systems, Vol. 18, No. 3, pp. 1125--1132, August 2003 .

  1289. M. Mahfouf, M. F. Abbod, and D. A. Linkens. Multi-Objective Genetic Optimization of the Performance Index of Self-Organizing Fuzzy Logic Control Algorithm Using a Fuzzy Ranking Approach. In H. J. Zimmerman, editor, Proceedings of the Sixth European Congress on Intelligent Techniques and Soft Computing, pages 1799-1808, Aachen, 1998. Verlag Mainz.

  1290. M. Mahfouf and D.A. Linkens and M.F. Abbod. Multi-objective genetic optimisation of GPC and SOFLC tuning parameters using a fuzzy-based ranking method, IEE Proceedings on Control Theory and Applications, Vol. 147, No. 3, pp. 344--354, May 2000.

  1291. Mahdi Mahfouf, Min-You Chen and Derek Arturh Linkens. Adaptive Weighted Particle Swarm Optimisation for Multi-objective Optimal Design of Alloy Steels, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 762--771, Birmingham, UK, September 2004 .

  1292. M. Mahfouf, M. Jamei and D.A. Linkens. Optimal design of alloy steels using multiobjective genetic algorithms, Materials and Manufacturing Processes, Vol. 20, No. 3, pp. 553--567, 2005 .

  1293. S. Majumdar, K. Mitra and G. Sardar. Kinetic Analysis & Optimization for the Catalytic Esterification Step of PPT Polymerization, Macromolecular Theory and Simulations, Vol. 14, pp. 49--59, 2005 .

  1294. K. F. Man, K. S. Tang, and S. Kwong. Genetic Algorithms. Concepts and Designs. Springer-Verlag, New York, second edition, 1999.

  1295. R. Mäkinen, P. Neittaanmäki, J. Periaux, M. Sefrioui, and J. Toivanen. Parallel genetic solution for multiobjective MDO, In A. Schiano, A. Ecer, J. Périaux, and N. Satofuka, editors, Parallel CFD'96 Conference, pages 352-359, Capri, 1996. Elsevier.

  1296. R. Mäkinen, P. Neittaanmäki, J. Périaux, and J. Toivanen. A genetic Algorithm for Multiobjective Design Optimization in Aerodynamics and Electromagnetics, In K. D. Papailiou et al., editor, Computational Fluid Dynamics '98, Proceedings of the ECCOMAS 98 Conference, volume 2, pages 418-422, Athens, Greece, September 1998. Wiley.

  1297. Raino A.E. Mäkinen, Jacques Periaux and Jari Toivanen. Multidisciplinary shape optimization in aerodynamics and electromagnetics using genetic algorithms, International Journal for Numerical Methods in Fluids, Vol. 30, No. 2, pp. 149--159, May 1999.

  1298. J.M. Malard, A. Heredia-Langner, D.J. Baxter, K.H. Jarman and W.R. Cannon, Constrained De Novo Peptide Identification via Multi-objective Optimization, in Online Proceedings of the Third IEEE International Workshop on High Performance Computational Biology (HiCOMB 2004), Santa Fe, New Mexico, April 26, 2004 .

  1299. R.C. Mancini, S.J. Louis, I.E. Golovkin, L.A. Welser, Y. Ochi, K. Fujita, H. Nishimura, J.A. Koch, R.W. Lee, J.A. Delettrez, F.J. Marshall, I. Uschmann, E. Foerster and L. Kleinin. Multi-Objective Spectroscopic Data Analysis of Inertial Confinement Fusion Implosion Cores: Plasma Gradient Determination, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 341--364, World Scientific, Singapore, 2004.

  1300. Joël M. Malard. A role for Pareto optimality in mining performance data, Computation & Concurrency: Practice and Experience, Vol. 17, pp. 1--21, 2005 .

  1301. Kuntinee Maneeratana, Kittipong Boonlong and Nachol Chaiyaratana. Multi-objective Optimisation by Co-operative Co-evolution, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 772--781, Birmingham, UK, September 2004 .

  1302. Steven Manos and Leon Poladian. Novel Fibre Bragg Grating design using Multiobjective Evolutionary Algorithms, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 2089--2095, IEEE Press, Canberra, Australia, December 2003 .

  1303. Steven Manos and Leon Poladian and Peter Bentley and Maryanne Large. Photonic Device Design Using Multiobjective Evolutionary Algorithms, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 636--650, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1304. Ester Bernardó i Mansilla and Josep Maria Garrell i Guiu. MOLeCS: A Multiobjective Learning Classifier System. In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee, and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), page 390, San Francisco, California, 2000. Morgan Kaufmann.

  1305. S.A. Mansouri, S.M. Moattar-Husseini and S.T. Newman. A review of the modern approaches to multi-criteria cell design, International Journal of Production Research, Vol. 38, No. 5, pp. 1201--1218, 2000 .

  1306. S. Afshin Mansouri. Manufacturing Cell Design in a Multi-Criterion Environment (in Persian), PhD thesis, Amirkabir University of Technology, Tehran, Iran, January 2001 (abstract) .

  1307. S.A. Mansouri, S.M. Moattar-Husseini and S.H. Zegordi. Multi-criterion Tackling Bottleneck Machines and Exceptional Parts in Cell Formation Using Genetic Algorithms, in I.C. Parmee (Editor), Proceedings of the Fifth International Conference on Adaptive Computing Design and Manufacture (ACDM 2002), pp. 181--192, Springer-Verlag, University of Exeter, Devon, UK, April 2002 .

  1308. S.A. Mansouri, S.M. Moattar-Husseini and S.H. Zegordi. A genetic algorithm for multiple objective dealing with exceptional elements in cellular manufacturing, Production Planning & Control, Vol. 14, No. 5, pp. 437--446, 2003 .

  1309. S. Afshin Mansouri. Elimination of Exceptional Elements in Cellular Manufacturing Systems using Multi-Objective Genetic Algorithms, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 505--527, World Scientific, Singapore, 2004.

  1310. S.A. Mansouri. A Multi-Objective Genetic Algorithm for mixed-model sequencing on JIT assembly lines, European Journal of Operational Research, Vol. 167, No. 3, pp. 696-716, 2005 .

  1311. S. Afshin Mansouri. Coordination of set-ups between two stages of a supply chain using multi-objective genetic algorithms,International Journal of Production Research, Vol. 43, No. 15, pp. 3163--3180, 2005 .

  1312. Jiangming Mao, Kotaro Hirasawa, Jinglu Hu and Junichi Murata.Genetic Symbiosis Algorithm for Multiobjective Optimization Problem, in Proceedings of the 9th IEEE International Workshop on Robot and Human Interactive Communication (RO-MAN 2000), IEEE, pp. 137--142, 2000.

  1313. Jiangming Mao, Kotaro Hirasawa, Jinglu Hu and Junichi Murata.Genetic Symbiosis Algorithm for Multiobjective Optimization Problems, Proceedings of the 2001 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 267--274, San Francisco, California, July 2001 .

  1314. Jiangming Mao, Kotaro Hirasawa, Jinglu Hu and Junichi Murata.Genetic Symbiosis Algorithm for Multiobjective Optimization Problems, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 771, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

  1315. Darío Maravall, Javier de Lope and Miguel ángel Patricio. Competitive Goal Coordination in Automatic Parking, in Günther R. Raidl et al. (editors), Applications of Evolutionary Computing. Proceedings of Evoworkshops 2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC, Springer. Lecture Notes in Computer Science, Volume 3005, pp. 537--548, Coimbra, Portugal, April 2004 .

  1316. N. Marco, S. Lanteri, J.-A. Desideri, and J. Périaux. A Parallel Genetic Algorithm for Multi-Objective Optimization in Computational Fluid Dynamics, In Kaisa Miettinen, Marko M. Mäkelä, Pekka Neittaanmäki, and Jacques Périaux, editors, Evolutionary Algorithms in Engineering and Computer Science, chapter 22, pages 445-456. John Wiley & Sons, Ltd, Chichester, UK, 1999.

  1317. Teodor Marcu. A multiobjective evolutionary approach to pattern recognition for robust diagnosis of process faults. In R. J. Patton and J. Chen, editors, IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes: SAFEPROCESS'97, pages 1183-1188, Kington Upon Hull, United Kingdom, August 1997.

  1318. Teodor Marcu and Paul M. Frank. Parallel Evolutionary Approach to System Identification for Process Fault Diagnosis. In Prasad S. Dhurjati and Sylvie Cauvin, editors, Procedings of the IFAC Workshop on `On-line Fault Detection and Supervision in the Chemical Process Industries', pages 113-118, Solaize (Lyon), France, 1998.

  1319. T. Marcu, L. Ferariu, and P. M. Frank. Genetic Evolving of Dynamic Neural Networks with Application to Process Fault Diagnosis. In Procedings of the EUCA/IFAC/IEEE European Control Conference ECC'99, Karlsruhe, Germany, 1999. CD-ROM, F-1046,1.

  1320. Simon Mardle, Sean Pascoe, and Mehrdad Tamiz. An investigation of genetic algorithms for the optimisation of multi-objective fisheries bioeconomic models. Technical Report 136, Centre for the Economics and Management of Aquatic Resources, University of Portsmouth, 1998.

  1321. Simon Mardle, Sean Pascoe, and Mehrdad Tamiz. An Investigation of Genetic Algorithms for the Optimization of Multiobjective Fisheries Bioeconomic Models. In Proceedings of the Third International Conference on Multi-Objective Programming and Goal Programming: Theory and Applications (MOPGP'98), Quebec City, Canada, 1998.

  1322. Simon Mardle, Sean Pascoe, and Mehrdad Tamiz. An Investigation of Genetic Algorithms for the Optimization of Multi-objective Fisheries Bioeconomic Models, International Transactions of Operations Research, Vol. 7, No. 1, pp. 33--49, 2000 .

  1323. Richard Marett and Mike Wright. A Comparison of Neighborhood Search Techniques for Multi-Objective Combinatorial Problems, Computers and Operations Research, Vol. 23, No. 5, pp. 465--483, 1996.

  1324. Carlos Eduardo Mariano Romero and Eduardo Morales Manzanares. MOAQ an Ant-Q Algorithm for Multiple Objective Optimization Problems. In W. Banzhaf, J. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela, and R. E. Smith, editors, Genetic and Evolutionary Computing Conference (GECCO 99), volume 1, pages 894-901, San Francisco, California, July 1999. Morgan Kaufmann.

  1325. Carlos E. Mariano and Eduardo Morales. A Multiple Objective Ant-Q Algorithm for the Design of Water Distribution Irrigation Networks, Technical Report HC-9904, Instituto Mexicano de Tecnologıa del Agua, June 1999.

  1326. Carlos Eduardo Mariano Romero and Eduardo Morales Manzanares. A New Approach for the Solution of Multiple Objective Optimization Problems Based on Reinforcement Learning. In Osvaldo Cairo, L. Enrique Sucar, and Francisco J. Cantu, editors, MICAI'2000: Advances in Artificial Intelligence, pages 212-223, Acapulco, México, April 2000. Springer-Verlag.

  1327. Carlos E. Mariano and Eduardo Morales. A New Distributed Reinforcement Learning Algorithm for Multiple Objective Optimization Problems Technical Report HC-200001, Instituto Mexicano de Tecnologıa del Agua, January 2000.

  1328. Carlos E. Mariano and Eduardo F. Morales. Distributed Reinforcement Learning for Multiple Objective Optimization Problems, In 2000 Congress on Evolutionary Computation, volume 1, pages 188-195, Piscataway, New Jersey, July 2000. IEEE Service Center.

  1329. Carlos E. Mariano and Eduardo F. Morales. MDQL: A Reinforcement Learning Approach for the Solution of Multiple Objective Optimization Problems, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.

  1330. Carlos Eduardo Mariano Romero. Aprendizaje por Refuerzo en Optimización Multiobjetivo. PhD thesis, Departamento de Ciencias Computacionales, Instituto Tecnológico y de Estudios Superiores de Monterrey, Cuernavaca, Morelos, México, Marzo 2001. (In Spanish) .

  1331. Carlos E. Mariano, Víctor H. Alcocer and Eduardo Morales. Design of water-using Systems through a Multiobjective Approach, in Alwyn Barry (editor), 2003 Genetic and Evolutionary Computation Conference. Workshop Program, pp. 186--189, AAAI, Chicago, Illinois, USA, July 2003 .

  1332. Carlos E. Mariano-Romero, Víctor Alcocer-Yamanaka and Eduardo F. Morales. Multiobjective Water Pinch Analysis of the Cuernavaca City Water Distribution Network, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 870--884, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1333. Urszula Markowska-Kaczmar and Pawel Wnuk-Lipinski. Rule Extraction from Neural Network by Genetic Algorithm with Pareto Optimization, in Leszek Rutkowski, Jörg H. Siekmann, Ryszard Tadeusiewicz and Lotfi A. Zadeh (Editors), Artificial Intelligence and Soft Computing - ICAISC 2004, 7th International Conference. Proceedings, Springer. Lecture Notes in Computer Science Vol. 3070, pp. 450--455, Zakopane, Poland, June 2004 .

  1334. Marzio Marseguerra, Enrico Zio and Maruizio Cipollone. Designing optimal degradation tests via multi-objective genetic algorithms, Reliability Engineering & System Safety, Vol. 79, No. 1, pp. 87--94, January 2003 .

  1335. E.T. Martin, R.A. Hassan and W.A. Crossley. Comparing the N-branch genetic algorithm and the multi-objective genetic algorithm, AIAA Journal, Vol. 42, No. 7, pp. 1495--1500, July 2004 .

  1336. J. Martin, C. Bielza and D.R. Insua. Approximating nondominated sets in continuous multiobjective optimization problems, Naval Research Logistics, Vol. 52, No. 5, pp. 469--480, August 2005 .

  1337. M.A. Martinez, J. Sanchis and X. Blasco. Genetic algorithms for multiobjective controller design, in Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach. Part 2. Proceedings, Springer-Verlag, Lecture Notes in Computer Science Vol. 3562, pp. 242--251, 2005 .

  1338. Shivanajay Marwaha, Dipti Srinivasan, Chen Khong Tham and Athanasios Vasilakos. Evolutionary Fuzzy Multi-Objective Routing For Wireless Mobile Ad Hoc Networks, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1964--1971, Portland, Oregon, USA, June 2004 .

  1339. Tezuka Masaru and Hiji Masahiro. Genetic Algorithm for Supply Planning Optimization under Uncertain Demand, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 2337--2346, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003 .

  1340. W. Mason, V. Coverstone-Carroll, and J. Hartmann. Optimal Earth Orbiting Satellite Constellations via a Pareto Genetic Algorithm, In 1998 AIAA/AAS Astrodynamics Specialist Conference and Exhibit, pages 169-177, Boston, Massachusetts, August 1998. Paper No. AIAA 98-4381.

  1341. William J. Mason. Satellite Constellation Design Via Evolutionary Computation. Master's thesis, Department of Aeronautical and Astronautical Engineering, University of Illinois at Urbana Champaign, December 2000. (In process).

  1342. Silvère Massebeuf, Christian Fonteix, Laszlo N. Kiss, Ivan Marc, Fernand Pla, and Kazimierz Zaras. Multicriteria Optimization and Decision Engineering of an Extrusion Process Aided by a Diploid Genetic Algorithm, In 1999 Congress on Evolutionary Computation, pages 14-21, Washington, D.C., July 1999. IEEE Service Center. , in International Conference on Electric Power Engineering, 1999. PowerTech Budapest 99, pp. 213--218, IEEE, Budapest, Hungary, 1999.

  1343. M.A. Matos and Paulo Melo. Multiobjective Reconfiguration for Loss Reduction and Service Restorating Using Simulated Annealing, in International Conference on Electric Power Engineering, 1999 (PowerTech Budapest 99), pp. 213--218, IEEE, Budapest, Hungary, 1999.

  1344. Yasuo Matsuyama. Harmonic Competition: A Self-Organizing Multiple Criteria Optimization, IEEE Transactions on Neural Networks, Vol. 7, No. 3, pp. 652--668, May 1996.

  1345. Keith B. Matthews, Susan Craw, Stewart Elder, Alan R. Sibbald, and Ian MacKenzie. Applying Genetic Algorithms to Multi-Objective Land Use Planning, In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee, and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 613-620, San Francisco, California, 2000. Morgan Kaufmann.

  1346. Keith B. Matthews. Applying Genetic Algorithms to Multi-objective Land-Use Planning, PhD Thesis, School of Computing, The Robert Gordon University, Aberdeen, United Kingdom, October 2001 (abstract).

  1347. K.B. Matthews, K. Buchan, A.R. Sibbald and Susan Craw. Using soft-systems methods to evaluate the outputs from multi-objective land use planning tools, in Proceedings of the 2002 iEMSs International Meeting, Vol. 3, pp. 247--252, International Environmental Modelling and Software Society, Lugano, Switzerland, June 2002.

  1348. Patrick R. McMullen. An ant colony optimization approach to addressing a JIT sequencing problem with multiple objectives, Artificial Intelligence in Engineering, Vol. 15, pp. 309--317, 2001 .

  1349. Michelle McPartland, Stefano Nolfi and Hussein A. Abbass. Emergence of Communication in Competitive Multi-Agent Systems: A Pareto Multi-Objective Approach, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 51--58, Vol. 1, ACM Press, New York, USA, June 2005 .

  1350. Andrés L. Medaglia. Simulation Optimization Using Soft Computing, PhD thesis, North Carolina State University, USA, 2000 (abstract) .

  1351. A.L. Medaglia, S.-C. Fang and H.L.W. Nuttle. Fuzzy controlled simulation optimization, Fuzzy Sets and Systems, Vol. 127, No. 1, pp. 65--84, 2002.

  1352. Andrés L. Medaglia and Shu-Chern Fang. A genetic-based framework for solving (multi-criteria) weighted matching problems, European Journal of Operational Research, Vol. 149, No. 1, pp. 77--101, August 2003.

  1353. A. L. Medaglia. An evolutionary algorithm for project selection problems based on stochastic multiobjective linearly constrained optimization, in S.B. Graves and J.L. Ringuest (editors), Models and methods for project selection: concepts from management science, finance, and information technology, pp. 163--189, Kluwer Academic Publishers, Boston, USA, 2003.

  1354. J. Mehnen, T. Micheltisch, T. Bartz-Beielstein and K. Schmitt. Evolutionary optimization of mould temperature control strategies: encoding and solving the multiobjective problem with standard evolution strategy and kit for evolution algorithms, Proceedings of the Institution of Mechanical Engineers Part B---Journal of Engineering Manufacture, Vol. 218, No. 6, pp. 657--665, June 2004 .

  1355. J. Mehnen, Th. Michelitsch, Th. Bartz-Beilstein and N. Henkenjohann. Systematic Analyses of Multi-objective Evolutionary Algorithms Applied to Real-World Problems Using Statistical Design of Experiments, in R. Teti (editor), Intelligent Computation in Manufacturing Engineering, 4th CIRP International Seminar on Intelligent Computation in Manufacturing Engineering (CIRP ICME'04), pp. 171--178, Sorrento, Naples, Italy, June 30-July 2, 2004 .

  1356. C. Meloni, D. Naso and B. Turchiano. Multi-objective evolutionary algorithms for a class of sequencing problems in manufacturing environments, in Proceedings of the 2003 IEEE International Conference on Systems, Man and Cybernetics, Vol. 1, pp. 8--13, IEEE, October 2003 .

  1357. Filippo Menczer, Melania Degeratu, and W. Nick Street. Efficient and Scalable Pareto Optimization by Evolutionary Local Selection Algorithms, Evolutionary Computation, 8(2):223-247, Summer 2000.

  1358. F. Menczer, W.N. Street, and M. Degeratu. Evolving heterogeneous neural agents by local selection, In V. Honavar, M. Patel, and K. Balakrishnan, editors, Advances in the Evolutionary Synthesis of Neural Systems. MIT Press, Cambridge, MA, 2000.

  1359. Y.S. Kim, W.N. Street, and F. Menczer. Feature Selection in Unsupervised Learning via Evolutionary Search ,In Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2000.

  1360. G. Meneghetti, V. Pediroda, and C. Poloni. Application of a Multi Objective Genetic Algorithm and a Neural Network to the Optimisation of Foundry Processes. In Kaisa Miettinen, Marko M. Mäkelä, Pekka Neittaanmäki, and Jacques Périaux, editors, Evolutionary Algorithms in Engineering and Computer Science, chapter 23, pages 457-470. John Wiley & Sons, Ltd, Chichester, UK, 1999.

  1361. Herve Meunier, El-Ghazali Talbi, and Philippe Reininger. A Multiobjective Genetic Algorithm for Radio Network Optimization, In 2000 Congress on Evolutionary Computation, volume 1, pages 317-324, Piscataway, New Jersey, July 2000. IEEE Service Center.

  1362. Efrén Mezura Montes. Uso de la Técnica Multiobjetivo NPGA para el Manejo de Restricciones en Algoritmos Genéticos, Master's Thesis, Maestría en Inteligencia Artificial, Universidad Veracruzana, Xalapa, Veracruz, México, August 2001 (In Spanish).

  1363. Efrén Mezura-Montes and Carlos A. Coello Coello. Use of Multiobjective Optimization Concepts to Handle Constraints in Genetic Algorithms, in Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors), Evolutionary Multiobjective Optimization: Theoretical Advances And Applications, pp. 229--254, Springer-Verlag, London, ISBN 1-85233-787-7, 2005 .

  1364. X. R. Miao, P. M. Zhang, Z. H. Xu, and C. H. Chen. Multi-objective Genetic Algorithm in IHSACC Optimization Design. In Artificial Intelligence and Soft Computing (ASC'99), Honolulu, Hawaii, August 1999. ACTA Press.

  1365. Zbigniew Michalewicz. Genetic Algorithms + Data Structures = Evolution Programs. Springer-Verlag, third edition, 1996.

  1366. Zbigniew Michalewicz. Evolutionary Algorithms in Engineering Optimization, in William Annicchiarico, Jacques Périaux, Miguel Cerrolaza and Gabriel Winter (editors), Evolutionary Algorithms and Intelligent Tools in Engineering Optimization, pp. 26--51, WIT Press, CIMNE Barcelona, Southampton, Boston, 2005, ISBN 1-84564-038-1 .

  1367. E. Michielssen, J. M. Sajer, and R. Mittra. Pareto-optimal design of broadband microwave absorbers using genetic algorithms, In Proceedings of the IEEE Antennas and Propagation Society International Symposium, volume 3, pages 1167-1170, Ann Arbor, Michigan, June 1993. IEEE.

  1368. Eric Michielssen, Jean-Michel Sajer, S. Ranjithan, and Raj Mittra. Design of Lightweight, Broad-Band Microwave Absorbers Using Genetic Algorithms. IEEE Transactions on Microwave Theory and Techniques, 41(6/7):1024-1031, 1993.

  1369. E. Michielssen and D. S. Weile. Electromagnetic System Design using Genetic Algorithms. In Genetic Algorithms and Evolution Strategies in Engineering and Computer Science, pages 267-288. John Wiley and Sons, England, 1995.

  1370. Timothy S. Mierzwicki. Risk Index for Multi-Objective Design Optimization of Naval Ships, MSc thesis, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, April 2003 (abstract) .

  1371. Natasa Milickovic, Michael Lahanas, Dimos Baltas, and Nikolaos Zamboglou. Comparison of Evolutionary and Deterministic Multiobjective Algorithms for Dose Optimization in Branchytherapy. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 167-180. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 .

  1372. Natasa B. Milickovic, Michael Lahanas, Maria Papagiannopoulou, Kostas Karovzakis, Dimos Baltas and Nikolakus Zamboglou. Application of Multiobjective Genetic Algorithms in Anatomy Based Dose Optimization in Brachytherapy and its Comparation with Deterministic Algorithms, 2001 Proceedinggs of the 23rd Annual EMBS International Conference, pp. 3919--3922, IEEE, Istanbul, Turkey, October 2001.

  1373. B. Milosevic and M. Begovic. Nondominated sorting genetic algorithm for optimal phasor measurement placement, IEEE Transactions on Power Systems, Vol. 18, No. 1, pp. 69--75, February 2003 .

  1374. Yang Shu Min, Shao Dong Guo and Luo Yang Jie. Dynamic Archive Evolution Strategy for Multiobjective Optimization, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 135--149, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1375. S.K. Mirrazavi, D.F. Jones and M. Tamiz. A comparison of genetic and conventional methods for the solution of integer goal programmes, European Journal of Operational Research, Vol. 132, No. 3, pp. 594--602, August 2001.

  1376. S.K. Mirrazavi, S.J. Mardle and M. Tamiz. A two-phase multiple objective approach to university timetabling utilising optimisation and evolutionary solution methodologies, Journal of the Operational Research Society, Vol. 54, No. 11, pp. 1155--1166, November 2003.

  1377. S.K. Mirrazavi, D.F. Jones and M. Tamiz. MultiGen: an integrated multiple-objective solution system, Decision Support Systems, Vol. 36, No. 2, pp. 177--187, October 2003.

  1378. B. Mirzaeian, M. Moallem, V. Tahani and C. Lucas. Multiobjective Optimization Method Based on a Genetic Algorithm for Switched Reluctance Motor Design, IEEE Transactions on Magnetics, Vol. 38, No. 3, pp. 1524--1527, May 2002 .

  1379. George G. Mitchell, Diarmuid O'Donoghue and Adrian Trenaman. A New Operator for Efficient Evolutionary Solutions to the Travelling Salesman Problem. IASTED. Applied Informatics, Innsbruck, Austria, pages 98-103, 2000 .

  1380. K. Mitra, Kalyanmoy Deb, and Santosh K. Gupta. Multiobjective Dynamic Optimization of an Industrial Nylon 6 Semibatch Reactor Using Genetic Algorithm,Journal of Applied Polymer Science, 69(1):69-87, 1998.

  1381. K. Mitra, S. Majumdar and S. Raha. Multiobjective optimization of a semibatch epoxy polymerization process using the elitist genetic algorithm,Industrial & Engineering Chemistry Research, Vol. 43, No. 19, pp. 6055--6063, September 15, 2004 .

  1382. K. Mitra and R. Gopinath. Multiobjective Optimization of an Industrial Grinding Operation Using Elitist Nondominated Sorting Genetic Algorithm, Chemical Engineering Science, Vol. 59, No. 2, pp. 385--396, 2004 .

  1383. K. Mitra, S. Majumdar and S. Raha. Multiobjective Dynamic Optimization of Epoxy Polymerization Process, Computers and Chemical Engineering, Vol. 28, No. 12, pp. 2583--2594, 2004.

  1384. O. A. Mohammed and G. F. Üler. Genetic Algorithms for the Optimal Design of Electromagnetic Devices. In Conference on the Annual Review of Progress in Applied Computational Electromagnetics, volume 11, pages 386-393, 1995.

  1385. A. Molina-Cristobal, I.A. Griffin, P.J. Fleming and D.H. Owens. Multiobjective Control: A Comparative Study of a Multiobjective Genetic Algorithm and Linear Matrix Inequalities, in Proceedings of the Sixth Portuguese Conference on Automatic Control, CONTROLO 2004, Faro, Portugal, June 7-9, 2004 .

  1386. A. Molina-Cristobal, I.A. Griffin, P.J. Fleming and D.H. Owens. Multiobjective Controller Design: Optimising Controller Structure with Genetic Algorithms, in Proceedings of the IFAC World Congress on Automatic Control, Prague,Czech Republic, July 4-8, 2005 .

  1387. A.K. Molyneaux, G.B. Leyland and D. Favrat. A New, Clustering Evolutionary Multi-Objective Optimisation Technique. In Proceedings of the Third International Symposium on Adaptive Systems--Evolutionary Computation and Probabilistic Graphical Models, Institute of Cybernetics, Mathematics and Physics, pages 41--47, Havana, Cuba, March 19-23 2001 .

  1388. David Montana, Marshall Brinn, Sean Moore, and Garrett Bidwell. Genetic Algorithms for Complex, Real-Time Scheduling. In Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics, pages 2213-2218, La Jolla, California, October 1998. IEEE.

  1389. David Montana, Garrett Bidwell, Gordon Vidaver, and Jose Herrero. Scheduling and Route Selection for Military Land Moves Using Genetic Algorithms. In 1999 Congress on Evolutionary Computation, volume 2, pages 1118-1123, Washington, D.C., July 1999. IEEE Service Center.

  1390. James Montgomery and Marcus Randall. Anti-pheromone as a Tool for Better Exploration of Search Space, in Marco Dorigo, Gianni Di Caro and Michael Sampels (editors), Ant Algorithms. Proceedings of the Third International Workshop, ANTS 2002, pp. 100--110, Springer. Lecture Notes in Computer Science, Vol. 2463, Brussels, Belgium, September 2002.

  1391. Jerzy Montusiewicz. Ranking Pareto Optimal Solutions in Genetic Algorithm by Using the Undifferentiation Interval Method, in Tadeusz Burczyński and Andrzej Osyczka (editors), IUTAM Symposium on Evolutionary Methods in Mechanics, pp. 265--276, Kluwer Academic Publishers, Dordrecht/Boston/London, 2004, ISBN 1-4020-2266-2 .

  1392. Chiung Moon, Yin-Zhen Lin, and Mitsuo Gen. Evolutionary Algorithm for Flexible Process Sequencing with Multiple Objectives. In David B. Fogel, editor, Proceedings of the 1998 International Conference on Evolutionary Computation, pages 27-32, Piscataway, New Jersey, 1998. IEEE.

  1393. Jacqueline Moore and Richard Chapman. Application of Particle Swarm to Multiobjective Optimization, Department of Computer Science and Software Engineering, Auburn University, (Unpublished manuscript), 1999.

  1394. Naoki Mori, Junji Yoshida, Hisashi Tamaki, Hajime Kita, and Yoshikazu Nishikawa. Thermodynamical Selection Rule for the Genetic Algorithm. In David B. Fogel, editor, Proceedings of the Second IEEE Conference on Evolutionary Computation, pages 188-192, Piscataway, New Jersey, 1995. IEEE Service Center.

  1395. M. Morita, R. Sabourin, F. Bortolozzi and C.Y. Suen. Unsupervised Feature Selection Using Multi-Objective Genetic Algorithm for Handwritten Word Recognition, in Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR'2003), pp. 666--670, Edinburgh, Scotland, August 2003.

  1396. Marisa Emika Morita. Automatic Recognition of Handwritten Dates on Brazilian Bank Cheques, PhD thesis, école de Technologie Supérieure,Université du Québec, Montreal, Canada, June 2003 (abstract) .

  1397. Sanaz Mostaghim, Jürgen Teich and Ambrish Tyagi. Comparison of Data Structures for Storing Pareto-sets in MOEAs, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 843--848, IEEE Service Center, Piscataway, New Jersey, May 2002

  1398. Sanaz Mostaghim and Jürgen Teich. Strategies for Finding Good Local Guides in Multi-objective Particle Swarm Optimization (MOPSO), in 2003 IEEE Swarm Intelligence Symposium Proceedings, IEEE Service Center, pp. 26--33, Indianapolis, Indiana, USA, April 2003 .

  1399. Sanaz Mostaghim and Jürgen Teich. The Role of e-dominance in Multi Objective Particle Swarm Optimization Methods, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1764--1771, IEEE Press, Canberra, Australia, December 2003 .

  1400. S. Mostaghim, M. Hoffmann, P.H. König, Th. Frauenheim and J. Teich. Molecular Force Field Parametrization using Multi-Objective Evolutionary Algorithms, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 212--219, Portland, Oregon, USA, June 2004 .

  1401. Sanaz Mostaghim and Jürgen Teich. Covering Pareto-optimal Fronts by Subswarms in Multi-objective Particle Swarm Optimization, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1404--1411, Portland, Oregon, USA, June 2004 .

  1402. Sanaz Mostaghim. Multi-Objective Evolutionary Algorithms. Data Structures, Convergence, and Diversity, PhD thesis, Fakultät Elektrotechnik, Informatik und Mathematik der Universität Paderborn, Paderborn, Germany, November 2004 (abstract) .

  1403. Sanaz Mostaghim and Jürgen Teich. Quad-trees: A Data Structure for Storing Pareto Sets in Multiobjective Evolutionary Algorithms with Elitism, in Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors), Evolutionary Multiobjective Optimization. Theoretical Advances and Applications, pp. 81--104, Springer, USA, 2005 .

  1404. Shengjing Mu, Hongye Su, Yong Gu and Jian Chu. Multi-objective optimization of industrial purified terephthalic acid oxidation process, Chinese Journal of Chemical Engineering, Vol. 11, No. 5, pp. 536--541, October 2003.

  1405. Shengjing Mu, Hongye Su, Tao Jia, Yong Gu and Jian Chu. Scalable multi-objective optimization of industrial purified terephthalic acid (PTA) oxidation process, Computers & Chemical Engineering, Vol. 28, No. 11, pp. 2219--2231, October 15, 2004 .

  1406. Amitabha Mukerjee, Rita Biswas, Kalyanmoy Deb and Amrit P. Mathur. Multi-objective evolutionary algorithms for the risk-return trade-off in bank-load management, International Transactions in Operational Research, Vol. 9, No. 5, pp. 583--597, September 2002.

  1407. Misgana K. Muleta. A Decision Support System for the Management of Non-Point Source Pollution from Watersheds, PhD thesis, College of Engineering, Southern Illinois University Carbondale, February 2003 (abstract) .

  1408. Silla Mullei and Peter Beling. Hybrid Evolutionary Algorithms for a Multiobjective Financial Problem, In Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics, Vol. 4, pages 3925--3930. IEEE, October 1998.

  1409. Sibylle D. Müller, Ivo F. Sbalzarini, Jens H. Walther and Petros D. Koumoutsakos. Evolution Strategies for the Optimization of Microdevices, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, pp. 302--309, IEEE Service Center, Piscataway, New Jersey, 2001 .

  1410. Christine L. Mumford (Valenzuela). Comparing Representations and Recombination Operators for the Multi-Objective 0/1 Knapsack Problem, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 854--861, IEEE Press, Canberra, Australia, December 2003 .

  1411. Christine L. Mumford. Simple Population Replacement Strategies for a Steady-State Multi-objective Evolutionary Algorithm, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 1246--1258, Seattle, Washington, USA, June 2004 .

  1412. Christine L. Mumford. A Hierarchical Evolutionary Approach to Multi-Objective Optimization, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1944--1951, Portland, Oregon, USA, June 2004 .

  1413. Christine L. Mumford-Valenzuela. A Simple Approach to Evolutionary Multiobjective Optimization, in Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors), Evolutionary Multiobjective Optimization. Theoretical Advances and Applications, pp. 55--79, Springer, USA, 2005 .

  1414. Tadahiko Murata and Hisao Ishibuchi. MOGA: Multi-Objective Genetic Algorithms. In Proceedings of the 2nd IEEE International Conference on Evolutionary Computing, pages 289-294, Perth, Australia, November 1995.

  1415. Tadahiko Murata, Hisao Ishibuchi, and Hideo Tanaka. Multi-Objective Genetic Algorithm and Its Application to Flowshop Scheduling. Computers and Industrial Engineering Journal, 30(4):957-968, September 1996.

  1416. Tadahiko Murata and Hisao Ishibuchi. Application of Two-Objective Genetic Algorithm to Flowshop Scheduling Problems with Interval Processing Time. In Proceedings of EUFIT'96, pages 443-447, Aachen, Germany, September 1996.

  1417. Tadahiko Murata and Hisao Ishibuchi. Performance of Multi-Objective Genetic Algorithms for Flowshop Scheduling Problems. In Proceedings of the 14th International Conference on Production Research, pages 498-501, Osaka, Japan, August 1997.

  1418. Tadahiko Murata. Genetic Algortithms for Multi-Objective Optimization. PhD thesis, Osaka Prefecture University, Japan, 1997.

  1419. Tadahiko Murata and Hisao Ishibuchi. Constructing Multi-Objective Genetic Local Search Algorithms for Multi-Objective Flowshop Scheduling Problems. In Proceedings of the 1998 Japan-USA Symposium on Flexible Automation, pages 1353-1356, Ohtsu, Japan, July 1998.

  1420. Tadahiko Murata, Hisao Ishibuchi, and Mitsuo Gen. Random Weights in Multi-Objective Genetic Algorithms. In Proceedings of the 2nd International Conference on Engineering Design and Automation, Maui, Hawaii, August 1998. Only CD-ROM Proceedings available.

  1421. Tadahiko Murata, Hisao Ishibuchi, and Mitsuo Gen. Specification of Local Search Directions in Genetic Local Search Algorithms for Multi-Objective Optimization Problems. In W. Banzhaf, J. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela, and R. E. Smith, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'99), volume 1, pages 441-448, San Francisco, California, July 1999. Morgan Kaufmann.

  1422. Tadahiko Murata, Hisao Ishibuchi, and Mitsuo Gen. Cellular Genetic Local Search for Multi-Objective Optimization. In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee, and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 307-314, San Francisco, California, 2000. Morgan Kaufmann.

  1423. Tadahiko Murata, Hisao Ishibuchi, and Mitsuo Gen. Specification of Genetic Search Directions in Cellular Multi-objective Genetic 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 82-95. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 .

  1424. Tadahiko Murata, Shuhei Kawakami, Hiroyuki Nozawa, Mitsuo Gen and Hisao Ishibuchi.Three-Objective Genetic Algorithms for Designing Compact Fuzzy Rule-Based Systems for Pattern Classification Problems, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 485--492, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

  1425. Tadahiko Murata, Hiroyuki Nozawa, Yasuhiro Tsujimura, Mitsuo Gen and Hisao Ishibuchi. Effect of Local Search on the Performance of Cellular Multi-Objective Genetic Algorithms for Designing Fuzzy Rule-based Classification Systems, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 663--668, IEEE Service Center, Piscataway, New Jersey, May 2002

  1426. Tadahiko Murata, Hiroyuki Nozawa, Hisao Ishibuchi and Mitsuo Gen. Modifications of Local Search Directions for Non-dominated Solutions in Cellular Multiobjective Genetic Algorithms for Pattern Classification Problems, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 593--607, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1427. Tadahiko Murata, Shiori Kaige and Hisao Ishibuchi. Generalization of Dominance Relation-Based Replacement Rules for Memetic EMO Algorithms, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 1234--1245, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003 .

  1428. Tadahiko Murata and Shiori Kaige and Hisao Ishibuchi. Local Search Direction for Multi-Objective Optimization Using Memetic EMO Algorithms, in Yaochu Jin (editor), Knowledge Incorporation in Evolutionary Computation, Springer, pp. 385--410, Berlin Heidelberg, 2005, ISBN 3-540-22902-7 .

  1429. Tadahiko Murata and Ryota Itai. Multi-objective Vehicle Routing Problems using Two-Fold EMO Algorithms to Enhance Solution Similarity on Non-dominated Solutions, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 885--896, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

    1430. N

  1430. Karl Nachtigall and Stefan Voget. Minimizing Waiting Times in Integrated Fixed Interval Timetables by Upgrading Railway Tracks. European Journal of Operational Research, 103:610-627, 1997.

  1431. A. Nag, D. Roy Mahapatra and S. Gopalakrishnan. Identification of delamination in composite beams using spectral estimation and a genetic algorithm, Smart Materials and Structures, Vol. 11, No. 6, pp. 899--908, 2002.

  1432. Pawan K.S. Nain and Kalyanmoy Deb. Computationally Effective Search and Optimization Procedure Using Coarse to Fine Approximations, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 2081--2088, IEEE Press, Canberra, Australia, December 2003 .

  1433. Prasanth B. Nair and Andrew J. Keane. Coevolutionary architecture for distributed optimization of complex coupled systems, AIAA Journal, Vol. 40, No. 7, pp. 1434--1443, July 2002 .

  1434. Hirotaka Nakayama, Masao Arakawa and Ye Boon Yu. Data Envelopment Analysis in Multicriteria Decision Making, in Matthias Ehrgott and Xavier Gandibleux (editors), Multiple Criteria Optimization: State of the Art Annotated Bibliographic Surveys, pp. 333--368, Kluwer Academic Publishers, Boston, 2002 .

  1435. Dongkyung Nam, Yun Deuk Seo, Lae-Jeong Park, Cheol Hoon Park, and Bumsup Kim. Parameter Optimization of a Voltage Reference Circuit using EP. In David B. Fogel, editor, Proceedings of the 1998 International Conference on Evolutionary Computation, pages 245-266, Piscataway, New Jersey, 1998. IEEE.

  1436. Dongkyung Nam and Cheol Hoon Park. Multiobjective Simulated Annealing: A Comparative Study to Evolutionary Algorithms, International Journal of Fuzzy Systems, Vol. 2, No. 2, pp. 87--97, 2000.

  1437. Dongkyung Nam and Cheol Hoon Park. Pareto-Based Cost Simulated Annealing for Multiobjective Optimization, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 522--526, Vol. 2, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  1438. R. Nandan, R. Rai, R. Jayakanth, S. Moitra, N. Chakraborti and A. Mukhopadhyay. Regulating crown and flatness during hot rolling: A multiobjective optimization study using genetic algorithms, Materials and Manufacturing Processes, Vol. 20, No. 3, pp. 459--478, 2005 .

  1439. S. Narayanan and S. Azarm. On Improving Multiobjective Genetic Algorithms for Design Optimization,In Proceedings of the Third World Congress of Structural and Multidisciplinary Optimization (WCSMO), Buffalo, New York, May 1999.

  1440. S. Narayanan and S. Azarm. On Improving Multiobjective Genetic Algorithms for Design Optimization. Structural Optimization, 18:146-155, 1999.

  1441. N. Nariman-Zadeh, K. Atashkari, A. Jamali, A. Pilechi and X. Yao. Inverse modelling of multi-objective thermodynamically optimized turbojet engines using GMDH-type neural networks and evolutionary algorithms, Engineering Optimization, Vol. 37, No. 5, pp. 437--462, July 2005 .

  1442. Boris Naujoks, Werner Haase, Jörg Ziegenhirt and Thomas Bäck. Multi Objective Airfoil Design using Single Parent Populations, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 1156--1163, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  1443. Boris Naujoks, Lars Willmes, Thomas Bäck and Werner Haase. Evaluating Multi-criteria Evolutionary Algorithms for Airfoil Optimization, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 841--850, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002 .

  1444. Jorge S. Navarro, José A. Moreno, and Néstor Carrasquero. Evolutionary Multi-Objective Optimization of Simulation Models. In Alberto A. Ochoa Rodrıguez, Marta R. Soto Ortiz, and Roberto Santana Hermida, editors, Second International Symposium on Artificial Intelligence (Adaptive Systems), ISAS'99, pages 242-250, La Havana, Cuba, 1999. Editorial Academia.

  1445. Antonio J. Nebro, Francisco Luna and Enrique Alba. New Ideas in Applying Scatter Search to Multiobjective Optimization, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 443--458, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1446. Nadia Nedjah and Luiza de Macedo Mourelle. Multi-Objective Evolutionary Hardware for RSA-Based Cryptosystems, in Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04), IEEE, Vol. 2, pp. 503--507, Las Vegas, Nevada, April 2004 .

  1447. Nadia Nedjah and Luiza M. Mourelle. Secure Evolutionary Hardware for Public-Key Cryptosystems, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 2130--2137, Portland, Oregon, USA, June 2004 .

  1448. Martijn Neef, Dirk Thierens, and Henryk Arciszewski. A Case Study of a Multiobjective Recombinative Genetic Algorithm with Coevolutionary Sharing, In 1999 Congress on Evolutionary Computation, pages 796-803, Washington, D.C., July 1999. IEEE Service Center.

  1449. Mircea Gh. Negoita and Dragos Arotaritei. A GA with Variable Length Chromosomes for Optimization Objectives of Fuzzy Recurrent NN, in Alwyn Barry (editor), 2003 Genetic and Evolutionary Computation Conference. Workshop Program, pp. 208--213, AAAI, Chicago, Illinois, USA, July 2003 .

  1450. F. de Toro Negro, J. Ortega, E. Ros, S. Mota, B. Paechter and J.M. Martín. PSFGA: Parallel processing and evolutionary computation for multiobjective optimisation, Parallel Computing, Vol. 30, Nos. 5--6, pp. 721--739, May-June 2004 .

  1451. Marian Nemec, David W. Zingg and Thomas H. Pulliam. Multi-Point and Multi-Objective Aerodynamic Shape Optimization, in 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Paper AIAA 2002-5548, Atlantla, Georgia, USA, September 2002 .

  1452. M. Nemec, D.W. Zingg, T.H. Pulliam. Multipoint and multi-objective aerodynamic shape optimization, AIAA Journal, Vol. 42, No. 6, pp. 1057--1065, June 2004 .

  1453. Frank Neumann. Expected Runtimes of a Simple Evolutionary Algorithm for the Multi-objective Minimum Spanning Tree Problem, in Xin Yao et al. (editors), Parallel Problem Solving from Nature---PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science Vol. 3242, pp. 81--90, Birmingham, UK, September 2004.

  1454. M.H. Nguyen, H.A. Abbass and R.I. McKay. Stopping criteria for ensemble of evolutionary artificial neural networks, Applied Soft Computing, Vol. 6, No. 1, pp. 100--107, November 2005 .

  1455. Matteo Nicolini. Evaluating Performance of Multi-Objective Genetic Algorithms for Water Distribution System Optimization, in Liong et al. (editors), Hydroinformatics, pp. 850--857, World Scientific, 2004.

  1456. Matteo Nicolini. A Two-Level Evolutionary Approach to Multi-criterion Optimization of Water Supply Systems, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 736--751, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1457. Jason Noble and Richard A. Watson. Pareto coevolution: Using performance against coevolved opponents in a game as dimensions for Pareto selection, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 493--500, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

  1458. Yusuke Nojima, Kaname Narukawa, Shiori Kaige and Hisao Ishibuchi. Effects of Removing Overlapping Solutions on the Performance of the NSGA-II Algorithm, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 341--354, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1459. James Northern and Michael Shanblatt. A Multi-objective Approach to Configuring Embedded System Architectures, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 1326--1327, Seattle, Washington, USA, June 2004 .

    1460. O

  1460. Shigeru Obayashi. Aerodynamic Inverse Optimization with Genetic Algorithms, In Proceedings of the IEEE International Conference on Industrial Technology, pages 421-425, Tongji University, 96TH8151, December 1996. IEEE Press.

  1461. S. Obayashi, T. Tsukahara, and T. Nakamura. Cascade Airfoil Design by Multiobjective Genetic Algorithms, In Second International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, pages 24-29. IEEE Conference Publication No. 446, September 1997.

  1462. S. Obayashi, Y. Yamaguchi, and T. Nakamura. Multiobjective Genetic Algorithm for Multidisciplinary Design of Transonic Wing Planform. Journal of Aircraft, 34(5):690-693, September-October 1997.

  1463. S. Obayashi. Aerodynamic inverse optimisation problems, in A.M.S. Zalzala and P.J. Fleming (editors), Genetic Algorithms in Engineering Systems, Chapter 9, pp. 203--228, The Institution of Electrical Engineers. Control Engineering Series 55, Bath, UK, 1997.

  1464. S. Obayashi, S. Takahashi, and Y. Takeguchi. Niching and Elitist Models for MOGAs. In A. E. Eiben, M. Schoenauer, and H.-P. Schwefel, editors, Parallel Problem Solving From Nature -- PPSN V, pages 260-269, Amsterdam, Holland, 1998. Springer-Verlag.

  1465. Shigeru Obayashi. Multidisciplinary Design Optimization of Aircraft Wing Planform Based on Evolutionary Algorithms, In Proceedings of the 1998 IEEE International Conference on Systems, Man, and Cybernetics, La Jolla, California, October 1998. IEEE.

  1466. S. Obayashi, S. Takahashi, and I. Fejtek. Transonic Wing Design by Inverse Optimization using MOGA, In Sixth Annual Conference of the Computational Fluid Dynamics Society of Canada, Quebec, Canada, June 1998.

  1467. Shigeru Obayashi, Kazuhiro Nakahashi, Akira Oyama, and Nobuhisa Yoshino. Design Optimization of Supersonic Wings Using Evolutionary Algorithms. In Proceedings of the Fourth ECCOMAS Computational Fluid Dynamics Conference, Athens, Greece, September 1998.

  1468. Shigeru Obayashi. Pareto Genetic Algorithm for Aerodynamic Design using the Navier-Stokes Equations. In D. Quagliarella, J. Périaux, C. Poloni, and G. Winter, editors, Genetic Algorithms and Evolution Strategies in Engineering and Computer Science. Recent Advances and Industrial Applications, chapter 12, pages 245-266. John Wiley & Sons, Chichester, UK, 1998.

  1469. Shigeru Obayashi, Takanori Tsukahara, and Takashi Nakamura. Multiobjective Genetic Algorithm applied to Aerodynamic Design of Cascade Airfoils,IEEE Transactions on Industrial Electronics, 47(1), February 2000.

  1470. Shigeru Obayashi, Takanori Tsukahara, and Takashi Nakamura. Multiobjective Evolutionary Computation for Supersonic Wing-Shape Optimization, IEEE Transactions on Evolutionary Computation, 4(2):182-187, July 2000.

  1471. Shigeru Obayashi. Pareto Solutions of Multipoint Design of Supersonic Wings using Evolutionary Algorithms, in I.C. Parmee (editor), Adaptive Computing in Design and Manufacture V, pp. 3--15, Springer-Verlag, London, 2002 .

  1472. Shigeru Obayashi and Daisuke Sasaki. Visualization and Data Mining of Pareto Solutions Using Self-Organizing Map, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 796--809, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1473. Shigeru Obayashi and Daisuke Sasaki. Multiobjective Aerodynamic Design and Visualization of Supersonic Wings by Using Adaptive Range Multiobjective Genetic Algorithms, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 295--315, World Scientific, Singapore, 2004.

  1474. Jiri Ocenasek. Parallel Estimation of Distribution Algorithms, PhD thesis, Faculty of Information Technology, Brno University of Technology, Brno, Czech Republic, November 2002 (abstract).

  1475. V. Oduguwa and R. Roy. Multi-Objective Optimisation of Rolling Rod Product Design using Meta-Modelling Approach, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 1164--1171, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  1476. Victor Oduguwa, Ashutosh Tiwari and Rajkumar Roy. Handling Integrated Quantitative and Qualitative Search Space in a Real World Optimisation Problem, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 1222--1229, IEEE Press, Canberra, Australia, December 2003 .

  1477. Victor Oduguwa, Ashutosh Tiwari and Rajkumar Roy. Sequential Process Optimisation Using Genetic Algorithms, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 782--791, Birmingham, UK, September 2004 .

  1478. Jaewon Oh, Hyokyung Bahn, Chisu Wu, and Kern Koh, Pareto-based Soft Real-Time Task Scheduling in Multiprocessor Systems, 7th IEEE Asia-Pacific Software Engineering Conference (APSEC 2000), Singapore, pp. 24--29, 2000.

  1479. Jaewon Oh and Chisu Wu. Genetic-algorithm-based real-time task scheduling with multiple goals, Journal of Systems and Software, Vol. 71, No. 3, pp. 245--258, May 2004 .

  1480. Choong K. Oh and Gregory J. Barlow. Autonomous Controller Design for Unmanned Aerial Vehicles using Multi-objective Genetic Programming, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1538--1545, Portland, Oregon, USA, June 2004 .

  1481. Ikki Ohmukai, Hideaki Takeda and Mitsunori Miki. A Proposal of the Person-centered Approach for Personal Task Management, in Proceedings of the 2003 Symposium on Applications and the Internet, pp. 234--240, IEEE, Orlando, Florida, January 2003 .

  1482. Tatsuya Okabe, Yaochu Jin and Bernhard Sendhoff. On the Dynamics of Evolutionary Multi-Objective Optimization, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 247--255, Morgan Kaufmann Publishers, San Francisco, California, July 2002.

  1483. Tatsuya Okabe, Kwasi Foli, Markus Olhofer, Yaochu Jin and Bernhard Sendhoff. Comparative Studies on Micro Heat Exchanger Optimization, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 1, pp. 647--654, IEEE Press, Canberra, Australia, December 2003 .

  1484. Tatsuya Okabe, Yaochu Jin and Bernhard Sendhoff. A Critical Survey of Performance Indices for Multi-Objective Optimization, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 878--885, IEEE Press, Canberra, Australia, December 2003 .

  1485. Tatsuya Okabe, Yaochu Jin and Bernhard Sendhoff. Evolutionary Multi-Objective Optimisation with a Hybrid Representation, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2262--2269, IEEE Press, Canberra, Australia, December 2003 .

  1486. Tatsuya Okabe. Evolutionary Multi-Objective Optimization - On the Distribution of Offspring in Parameter and Fitness Space -, PhD thesis, Bielefeld University, Germany, 2004 (abstract) .

  1487. Tatsuya Okabe and Yaochu Jin and Bernhard Sendhoff and Markus Olhofer. Voronoi-based Estimation of Distribution Algorithm for Multi-objective Optimization, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1594--1601, Portland, Oregon, USA, June 2004 .

  1488. Tatsuya Okabe, Yaochu Jin, Markus Olhofer and Bernhard Sendhoff. On Test Functions for Evolutionary Multi-objective Optimization, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 792--802, Birmingham, UK, September 2004 .

  1489. Gina M. B. Oliveira, José C. Bortot and Pedro P.B. de Oliveira. Multiobjective evolutionary search for one-dimensional cellular automata in the density classification task, in R. Standish, M. Bedau and H. Abbass (editors), Artificial Life VIII: The 8th International Conference on Artificial Life, pp. 202--206, MIT Press, Cambridge, Massachusetts, 2002.

  1490. L.S. Oliveira, R. Sabourin, F. Bortolozzi, and C.Y. Suen. Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Digit Recognition, in Proceedings of the 16th International Conference on Pattern Recognition (ICPR'2002), pp. 568--571, Vol. 1, Quebec City, Canada, IEEE Computer Society Press, August, 2002.

  1491. Luiz S. Oliveira, Marisa Morita, Robert Sabourin and Flávio Bortolozzi. Multi-objective Genetic Algorithms to Create Ensemble of Classifiers, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 592--606, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1492. C.S. Ong, H.J. Huang and G.H. Tzeng. A novel hybrid model for portfolio selection, Applied Mathematics and Computation, Vol. 169, No. 2, pp. 1195--1210, October 15, 2005 .

  1493. Matthias Ortmann and Wolfgang Weber.Multi-Criterion Optimization of Robot Trajectories with Evolutionary Strategies, Proceedings of the 2001 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 310--316, San Francisco, California, July 2001 .

  1494. Matthias Ortmann and Wolfgang Weber.Multi-Criterion Optimization of Robot Trajectories with Evolutionary Strategies, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 1453, Morgan Kaufmann Publishers, San Francisco, California, July 2001.

  1495. Keith A. Osman, Anthony M. Higginson, and John Moore. Improving the efficiency of vehicle water-pump designs using genetic algorithms. In C. Dagli, M. Akay, A. Buczak, O. Ersoy, and B. Fernandez, editors, Smart Engineering Systems: Proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE '98), volume 8, pp. 291--296, New York, 1998. ASME, ASME Press.

  1496. M.S. Osman, M.A. Abo-Sinna and M.K. El-Sayed, An algorithm for solving multi-stage decision making model with multiple fuzzy goals based on genetic algorithms, International Journal of Nonlinear Sciences and Numerical Simulation, Vol. 5, No. 4, pp. 371--385, 2004.

  1497. M.S. Osman, M.A. Abo-Sinna and A.A. Mousa. An effective genetic algorithm approach multiobjective resource allocation problems (MORAPs),Applied Mathematics and Computation, Vol. 163, No. 2, pp. 755--768, April 15, 2005 .

  1498. Andrzej Osyczka and Sourav Kundu. A new method to solve generalized multicriteria optimization problems using the simple genetic algorithm. Structural Optimization, 10:94-99, 1995.

  1499. Andrzej Osyczka and Sourav Kundu. A Genetic Algorithm-Based Multicriteria Optimization Method. In Proceedings of First World Congress of Structural and Multidisciplinary Optimization, pages 909-914, Goslar, Germany, May 1995. Elsevier Science.

  1500. Andrzej Osyczka and Sourav Kundu. Using genetic algorithms to solve multicriteria nonlinear programming problems. In Proceedings of Mendel'95, the 1st International Mendel Conference on Genetic Algorithms, Brno, Czech Republic, September 1995.

  1501. Andrzej Osyczka and Sourav Kundu. A Genetic Algorithm Approach to Multicriteria Network Optimization Problems. In Proceedings of the 20th International Conference on Computers and Industrial Engineering, pages 329-332, Kyongju, Korea, October 1996.

  1502. Andrzej Osyczka and Sourav Kundu. A modified distance method for multicriteria optimization using genetic algorithms. Computers in Industrial Engineering, 30(4):871-882, 1996.

  1503. Andrzej Osyczka and H. Tamura. Pareto set distribution method for multicriteria optimization using genetic algorithm. In Proceedings of the Second International Conference on Genetic Algorithms (Mendel'96), pages 97-102, Brno, Czech Republic, June 1996.

  1504. Andrzej Osyczka, Stanislaw Krenich, and K. Karas. Optimum Design of Robot Grippers using Genetic Algorithms,In Proceedings of the Third World Congress of Structural and Multidisciplinary Optimization (WCSMO), Buffalo, New York, May 1999.

  1505. Andrzej Osyczka and Stanislaw Krenich. A New Constraint Tournament Selection Method for Multicriteria Optimization using Genetic Algorithm. In 2000 Congress on Evolutionary Computation, volume 1, pages 501-507, Piscataway, New Jersey, July 2000. IEEE Service Center.

  1506. Andrzej Osyczka and Stanislaw Krenich. Evolutionary Algorithms for Multicriteria Optimization with Selecting a Representative Subset of Pareto Optimal Solutions. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 141-153. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 .

  1507. Andrzej Osyczka. Evolutionary Algorithms for Single and Multicriteria Design Optimization, Physica Verlag, Germany, 2002, ISBN 3-7908-1418-0 .

  1508. A. Oyama, S. Obayashi, K. Nakahashi, and N. Hirose. Coding by Taguchi Method for Evolutionary Algorithms Applied to Aerodynamic Optimization, In Proceedings of the Fourth ECCOMAS Computational Fluid Dynamics Conference, pages 196-203, Athens, Greece, September 1998. John Wiley & Sons.

  1509. Akira Oyama and Shigeru Obayashi. Multidisciplinary Wing Design Optimization Using Multiobjective Evolutionary Algorithm, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.

  1510. Akira Oyama. Wing Design Using Evolutionary Algorithms, PhD thesis, Department of Space Engineering, Tohoku University, March 2000 (abstract).

  1511. Akira Oyama and Meng-Sing Liou. Multiobjective Optimization of Rocket Engine Pumps using Evolutionary Algorithm, In Proceedings of the 15th AIAA Computational Fluid Dynamic Conference, American Institue of Aeronautics and Astronautics, Anaheim, California, June 2001 .

  1512. Akira Oyama and Meng-Sing Liou. Multiobjective Optimization of Rocket Engine Pumps using Evolutionary Algorithm, Journal of Propulsion and Power, Vol. 18, No. 3, pp. 528--535, May-June 2002 .

  1513. Muhsin Ozdemir. Evolutionary Computing for Feature Selection and Predictive Data Mining, PhD Thesis, Rensselaer Polytechnic Institute, Troy, New York, March 2002 (abstract).

  1514. Timucin Ozugur, Anand Bellary and Falguni Sarkar. Multiobjctive Hierarchical 2G/3G Mobility Management Optimization: Niched Pareto Genetic Algorithm, in Global Telecommunications Conference, IEEE, Vol. 6, pp. 3681--3685, 2001.

    1515. P

  1515. Ben Paechter, R.C. Rankin, Andrew Cumming, and Terence C. Fogarty. Timetabling the Classes of an Entire University with an Evolutionary Algorithm, In A. E. Eiben, M. Schoenauer, and H.-P. Schwefel, editors, Parallel Problem Solving From Nature -- PPSN V, Amsterdam, Holland, 1998. Springer-Verlag.

  1516. S. Palaniappan, S. Zein-Sabatto and A. Sekmen. Dynamic Multiobjective Optimization of War Resource Allocation using Adaptive Genetic Algorithm, in Proceedings of the SoutheastCon, pp. 160--165, IEEE, 2001.

  1517. N. Palli, S. Azarm, Por Multiple Objectives Decision Making. Journal of Mechanical Design, Transactions of the ASME, 120:678-686, 1998.

  1518. Liviu Panait and Sean Luke. Alternative Bloat Control Methods, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 630--641, Seattle, Washington, USA, June 2004 .

  1519. M.A. Panduro, D.H. Covarrubias, C.A. Brizuela and F.R. Marante. A multi-objective approach in the linear antenna array design, AEU-International Journal of Electronics and Communications, Vol. 59, No. 4, pp. 205--212, 2005 .

  1520. Gregor Papa. An evolutionary approach to chip design: An empirical evaluation, Informacije Midem--Journal of Microelectronics electronic components and materials, pp. 142--148, Vol. 33, No. 3, September 2003 .

  1521. M. Papadrakakis, N.D. Lagaros and V. Plevris. Multi-objective optimization of skeletal structures under static and seismic loading, Engineering Optimization, Vol. 34, No. 6, pp. 645--669, December 2002.

  1522. Gisele L. Pappa, Alex A. Freitas and Celso A.A. Kaestner. Attribute Selection with a Multiobjective Genetic Algorithm, in G. Bittencourt and G.L. Ramalho (editors), Proceedings of the 16th Brazilian Symposium on Artificial Intelligence (SBIA-2002), pp. 280--290, Springer-Verlag. Lecture Notes in Artificial Intelligence Vol. 2507, 2002.

  1523. Gisele L. Pappa, Alex A. Freitas and Celso A.A. Kaestner. A Multiobjective Genetic Algorithm for Attribute Selection, in Proceedings of the 4th International Conference on Recent Advances in Soft Computing (RASC-2002), pp. 116--121, Nottingham Trent University, Nottingham, UK, December 2002.

  1524. Gisele Lobo Pappa. Seleçao de Atributos Utilizando Algoritmos Genéticos Multiobjetivos, Masters thesis, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil, 2002 (In Portuguese).

  1525. Gisele L. Pappa, Alex A. Freitas and Celso A.A. Kaestner. Multi-Objective Algorithms for Attribute Selection in Data Mining, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 603--626, World Scientific, Singapore, 2004.

  1526. Luís F. Paquete and Carlos M. Fonseca. A Study of Examination Timetabling with Multiobjective Evolutionary Algorithms, in Jorge Pinho de Sousa (Editor), Proceedings of the 4th Metaheuristics International Conference (MIC'2001), pp. 149--153, Porto, Portugal, Program Operational Ciencia, Tecnologia, Inovaçao do Quadro Comunitário de Apoio III de Fundaçao para a Ciencia e Tecnologia, July 2001

  1527. Luis Paquete and Thomas Stützle. A Two-Phase Local Search for the Biobjective Traveling Salesman Problem, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 479--493, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1528. Luis Paquete, Marco Chiarandini and Thomas Stützle. Pareto Local Optimum Sets in the Biobjective Traveling Salesman Problem: An Experimental Study, in Xavier Gandibleux, Marc Sevaux, Kenneth Sörensen and Vincent T'kindt (editors), Metaheuristics for Multiobjective Optimisation, pp. 177--199, Springer. Lecture Notes in Economics and Mathematical Systems Vol. 535, Berlin, 2004 .

  1529. Seong-Jin Park. A Data Allocation Methodology Using the Multiple Aspects Petri Net and the Pareto Genetic Algorithm in Distributed Databases. PhD thesis, Korea University, 1997.

  1530. Kwang-Wook Park and Donald E. Grierson. Pareto-Optimal Conceptual Design of the Structural Layout of Buildings Using a Multicriteria Genetic Algorithm. Computer-Aided Civil and Infrastructure Engineering, 14(3):163-170, May 1999.

  1531. Sangbong Park, Dongkyung Nam and Cheol Hoon Park. Design of a Neural Controller Using Multiobjective Optimization for Nonminimum Phase Systems, in 1999 IEEE International Fuzzy Systems Conference Proceedings, Vol. 1, pp. 533--537, IEEE, 1999.

  1532. Geoffrey T. Parks. Multiobjective PWR Reload Core Optimization Using Genetic Algorithms. In Proceedings of the International Conference on Mathematics and Computations, Reactor Physics, and Environmental Analyses, pages 615-624, 1995.

  1533. Geoffrey T. Parks. Multiobjective Pressurized Water Reactor Reload Core Design by Nondominated Genetic Algorithm Search. Nuclear Science and Engineering, 124(1):178-187, 1996.

  1534. Geoffrey T. Parks. Multiobjective Pressurised Water Reactor Reload Core Design using a Genetic Algorithm. In George D. Smith, Nigel C. Steele, and Rudolf F. Albrecht, editors, Artificial Neural Nets and Genetic Algorithms, pages 53-57, Norwich, UK, 1997. Springer-Verlag.

  1535. Geoffrey T. Parks and I. Miller. Selective Breeding in a Multiobjective Genetic Algorithm. In A. E. Eiben, M. Schoenauer, and H.-P. Schwefel, editors, Parallel Problem Solving From Nature -- PPSN V, pages 250-259, Amsterdam, Holland, 1998. Springer-Verlag.

  1536. G.T. Parks and A. Suppapitnarm. Multiobjective optimizationof PWR reload core designs using simulated annealing, Mathematics & Computation, Reactor Physics and Environmental Analysis in Nuclear Applications, Vol. 2, Madrid, Spain, pp. 1435--1444, 1999 .

  1537. G.T. Parks, J. Li, M.-E. Balazs and I. Miller. An empirical investigation of elitism in multiobjective genetic algorithms, Foundations of Computing and Decision Sciences, Vol. 26, No. 1, pp. 51--74, 2001

  1538. I. C. Parmee and G. Purchase. The development of a directed genetic search technique for heavily constrained design spaces, In I. C. Parmee, editor, Adaptive Computing in Engineering Design and Control-'94, pages 97-102, Plymouth, UK, 1994. University of Plymouth, University of Plymouth.

  1539. Ian C. Parmee and Andrew H. Watson. Preliminary Airframe Design Using Co-Evolutionary Multiobjective Genetic Algorithms, In W. Banzhaf, J. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela, and R. E. Smith, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'99), volume 2, pages 1657-1665, San Francisco, California, July 1999. Morgan Kaufmann.

  1540. Ian C. Parmee, Dragan Cvetković, Andrew H. Watson, and Christopher R. Bonham. Multiobjective Satisfaction within an Interactive Evolutionary Design Environment. Evolutionary Computation, 8(2):197-222, Summer 2000.

  1541. I.C. Parmee. Poor-Definition, Uncertainty, and Human Factors--Satisfying Multiple Objectives in Real-World Decision-Making Environments. 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 .

  1542. Ian C. Parmee. Evolutionary and Adaptive Computing in Engineering Design, Springer, London, 2001, ISBN 1-85233-029-5.

  1543. I.C. Parmee and J.A.R. Abraham. Supporting Implicit Learning via the Visualisation of COGA Multi-objective Data, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 395--402, Portland, Oregon, USA, June 2004 .

  1544. Ian C. Parmee and Johnson A. Abraham. Interactive Evolutionary Design, in Yaochu Jin (editor), Knowledge Incorporation in Evolutionary Computation, Springer, pp. 435--458, Berlin Heidelberg, 2005, ISBN 3-540-22902-7 .

  1545. M. Parrilla Sánchez and J. Aranda Almansa. A Real Application Example of a Control Structure Selection by Means of a Multiobjective Genetic Algorithm, in José Mira and José R. álvarez (Eds.), Artificial Neural Nets Problem Solving Methods, 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN'2003.Proceedings, Part II, pp. 369--376, Springer, Lecture Notes in Computer Science, Vol. 2687, Maó, Menorca, Spain, June 3-6, 2003.

  1546. R. Parsons and S.L. Canfield. Developing genetic programming techniques for the design of compliant mechanisms, Structural and Multidisciplinary Optimization, Vol. 24, No. 1, pp. 78--86, August 2002 .

  1547. K.E. Parsopoulos and M.N. Vrahatis. Particle Swarm Optimization Method in Multiobjective Problems, Proceedings of the 2002 ACM Symposium on Applied Computing (SAC 2002), pp. 603-607, ISBN: 1-58113-445-2, 2002.

  1548. K.E. Parsopoulos, D.K. Tasoulis and M.N. Vrahatis. Multiobjective Optimization Using Parallel Vector Evaluated Particle Swarm Optimization, in Proceedings of the IASTED International Conference on Artificial Intelligence and Applications (AIA 2004), pp. 823--828, Vol. 2, ACTA Press, Innsbruck, Austria, February 2004 .

  1549. K.E. Parsopoulos, D.K. Taoulis, N.G. Pavlidis, V.P. Plagianakos and M.N. Vrahatis. Vector Evaluated Differential Evolution for Multiobjective Optimization, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 204--211, Portland, Oregon, USA, June 2004 .

  1550. Christian Oliver Paschereit, Bruno Schuermans and Dirk Büche. Combustion Process Optimization using Evolutionary Algorithm, in Proceedings of the ASME Turbo Expo 2003, Atlanta, USA, June 2003 .

  1551. G.K.M. Pedersen, A.S. Langballe and R. Wisniewski. Synthesizing multi-objective H2/H-infinity dynamic controller using evolutionary algorithms, in Proceedings of the 15th IFAC World Congress, pp. 4580--4585, July 2002.

  1552. Gerulf K.M. Pedersen and David E. Goldberg. Dynamic Uniform Scaling for Multiobjective Genetic Algorithms, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 11--23, Seattle, Washington, USA, June 2004 .

  1553. N. García Pedrajas, C. Hervás-Martínez and J. Muñoz-Pérez. Multi-objective cooperative coevolution of artificial neural networks (multi-objective cooperative networks), Neural Networks, Vol. 15, No. 10, pp. 1259--1278, December 2002 .

  1554. Hernán Peraza Vázquez. Desarrollo de un Algoritmo Genético para la Indexación de Patrones de Difracción de Rayos X: Un Problema Multi-Objetivo, Masters Thesis, División de Estudios de Posgrado e Investigación, Instituto Tecnológico de Ciudad Madero, Cd. Madero, Tamaulipas, México, March 2004 (in Spanish) .

  1555. R. Perez, K. Behdinan, and J. Chung. Airfoil Shape Optimization Using Genetic Algorithms. In Proceedings, 47th Annual Conference of the Canadian Aeronautic and Space Institute, Aircraft Design and Development Symposium, Ottawa, Canada, April 30 - May 3 2000 .

  1556. Ruben Perez and Kamran Behdinan. Effective Multi-Mission Aircraft Conceptual Design Optimization Using a Hybrid Multi-Objective Evolutionary Method, Proceedings of the 9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, AIAA-2002-5464, American Institute of Aeronautics and Astronautics, 2002.

  1557. Jacques Périaux, Mourad Sefrioui, and Bertrand Mantel. RCS multi-objective optimization of scattered waves by active control elements using GAs, In Proceedings of the Fourth International Conference on Control, Automation, Robotics and Vision (ICARCV'96), Singapore, 1996.

  1558. Jacques Périaux, Mourad Sefrioui, and Bertrand Mantel. GA Multiple Objective Optimization Strategies for Electromagnetic Backscattering. In D. Quagliarella, J. Périaux, C. Poloni, and G. Winter, editors, Genetic Algorithms and Evolution Strategies in Engineering and Computer Science. Recent Advances and Industrial Applications, chapter 11, pages 225-243. John Wiley & Sons, Chichester, UK, 1998.

  1559. Andrei Petrovski and John McCall. Multi-objective Optimisation of Cancer Chemotherapy Using Evolutionary 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 531-545. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 .

  1560. O. Peyran and W. Zhuang. Educating Initial Solutions for Genetic Algorithms: A Chip Planning Optimization Example, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 687--691, Vol. 2, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  1561. S. Phelps and M. Koksalan, An interactive evolutionary metaheuristic for multiobjective combinatorial optimization, Management Science, Vol. 49, No. 12, pp. 1726--1738, December 2003.

  1562. Henri Pierreval and Marie-France Plaquin. An Evolutionary Approach of Multicriteria Manufacturing Cell Formation. International Transactions in Operational Research, 5(1):13-25, January 1998.

  1563. Michael Pilegaard Hansen and Andrzej Jaszkiewicz. Evaluating the quality of approximations to the non-dominated set, Technical Report IMM-REP-1998-7, Technical University of Denmark, March 1998.

  1564. Michael Pilegaard Hansen. Use of Substitute Scalarizing Functions to Guide a Local Search Based Heuristic: The Case of moTSP. Journal of Heuristics, 6(3):419-431, August 2000.

  1565. Bruno Pinaud, Pascale Kuntz and Rémi Lehn. Dynamic Graph Drawing with a Hybridized Genetic Algorithm, in I.C. Parmee (editor), Adaptive Computing in Design and Manufacture VI, pp. 365--375, Springer, London, 2004 .

  1566. Eduardo José Solteiro Pires, Paulo B. de Moura Oliveira and José António Tenreiro Machad. Multi-objective Genetic Manipulator Trajectory Planner, in Günther R. Raidl et al. (editors), Applications of Evolutionary Computing. Proceedings of Evoworkshops 2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC, Springer. Lecture Notes in Computer Science, Volume 3005, pp. 219--229, Coimbra, Portugal, April 2004 .

  1567. E.J. Solteiro Pires, J.A. Tenreiro Machado and P.B. de Moura Oliveira. Robot Trajectory Planning Using Multiobjective Genetic Algorithm Optimization, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 615--626, Seattle, Washington, USA, June 2004 .

  1568. E.J. Solteiro Pires, P.B. de Moura Oliveira and J.A. Tenreiro Machado. Multi-objective MaxiMin Sorting Scheme, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 165--175, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1569. Andreas Pitsillides, Costas Pattichis, A. Sekerciogli and Thanos Vassilakos. Bandwidth Allocation for Virtual Paths using Genetic Algorithms (GA-BAVP), in International Conference on Telecommunications (ICT'97), Melbourne, Australia, April 1997.

  1570. Silvia Poles, Enrico Rigoni and Tea Robic. MOGA-II Performance on Noisy Optimization Problems, 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. 51--62, Jožef Stefan Institute, Ljubljana, Slovenia, October 2004 .

  1571. Carlo Poloni. Hybrid GA for Multi-Objective Aerodynamic Shape Optimization. In G. Winter, J. Periaux, M. Galan, and P. Cuesta, editors, Genetic Algorithms in Engineering and Computer Science, pages 397-416. Wiley & Sons, Chichester, 1995.

  1572. Carlo Poloni, M. Fearon, and D. Ng. Parallelisation of Genetic Algorithms for Aerodynamic Design Optimisation. In Ian C. Parmee and M. J. Denham, editors, Proceedings of the Second International Conference on Adaptive Computing in Engineering Design and Control, pages 59-64, Plymouth, UK, 1996. University of Plymouth.

  1573. Carlo Poloni, Giovanni Mosetti, and Stefano Contessi. Multiobjective Optimization by GAs: Application to System and Component Design. In Computational Methods in Applied Sciences '96: Invited Lectures and Special Technological Sessions of the Third ECCOMAS Computational Fluid Dynamics Conference and the Second ECCOMAS Conference on Numerical Methods in Engineering, pages 258-264, Chichester, 1996. Wiley.

  1574. Carlo Poloni and Valentino Pediroda. GA coupled with computationally expensive simulations: tools to improve efficiency. In D. Quagliarella, J. Périaux, C. Poloni, and G. Winter, editors, Genetic Algorithms and Evolution Strategies in Engineering and Computer Science. Recent Advances and Industrial Applications, chapter 13, pages 267-288. John Wiley & Sons, Chichester, UK, 1998.

  1575. S.G. Ponnambalam, P. Aravindan and G. Mogileeswar Naidu. A Multi-Objective Genetic Algorithm for Solving Assembly Line Balancing Problem, International Journal of Advanced Manufacturing Technology, Vol. 16, No. 5, pp. 341--352, 2000.

  1576. S.G. Ponnambalam. Evolutionary Simulated Hybrid Search Algorithms for Flow Line Scheduling, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 826--830, Vol. 2, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  1577. P.N. Poulos, G.G. Rigatos, S.G. Tzafestas and A.K. Koukos. A Pareto-optimal genetic algorithm for warehouse multi-objective optimization, Engineering Applications of Artificial Intelligence, Vol. 14, pp. 737--749, 2001.

  1578. A. Povoleri, M. Lavagna and A.E. Finzi. Aero-Gravity Assisted Manoeuvres within Preliminary Interplanetary Mission Design: A Multi-Objective Evolutive Algorithm Approach, in 18th International Symposium on Space Flight Dynamics,Haus der Bayerischen Wirtschaft, Munich, Germany, October 2004 .

  1579. T.D. Prasad and N.-S. Park. Multiobjective Genetic Algorithms for Design of Water Distribution Networks, Journal of Water Resources Planning and Management, Vol. 130, pp. 73--82, 2004.

  1580. Passakon Prathombutr. Virtual Topology Reconfiguration in Wavelength-Routed Optical Networks, PhD thesis, University of Missouri-Kansas City, Kansas City, Missouri, USA, 2003 (abstract) .

  1581. P. Prathombutr, J. Stach and E.K. Park. An algorithm for traffic grooming in WDM optical mesh networks with multiple objectives, in Proceedings of the 12th International Conference on Computer Communications and Networks (ICCCN 2003), pp. 405--411, IEEE, October 2003 .

  1582. K.A. Proos, G.P. Steven, O.M. Querin and Y.M. Xie. Multicriterion Evolutionary Structural Optimization using the Weighting and the Global Criterion Methods, AIAA Journal, Vol. 30, pp. 2006--2012, 2001.

  1583. W. Pullan. Optimising Aspects of Network Survivability, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 115--120, IEEE Service Center, Piscataway, New Jersey, May 2002

  1584. T.H. Pulliam, M. Nemec, T. Hoslt, and D.W. Zingg, Comparison of Evolutionary (Genetic) Algorithm and Adjoint Methods for Multi-Objective Viscous Airfoil Optimizations, in 41st Aerospace Sciences Meeting, Paper AIAA 2003-0298, Reno, Nevada, January 2003 .

  1585. R.C. Purshouse and P.J. Fleming. The Multi-Objective Genetic Algorithm Applied to Benchmark Problems---An Analysis, Technical Report No. 796, Departament of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK, August 2001 .

  1586. R.C. Purshouse and P.J. Fleming. Elitism, Sharing and Ranking Choices in Evolutionary Multi-Criterion Optimisation, Technical Report No. 815, Departament of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK, January 2002 .

  1587. Robin C. Purshouse and Peter J. Fleming. Why use Elitism and Sharing in a Multi-Objective Genetic Algorithm?, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 520--527, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  1588. Robin C. Purshouse and Peter J. Fleming. Conflict, Harmony, and Independence: Relationships in Evolutionary Multi-criterion Optimisation, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 16--30, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1589. Robin C. Purshouse and Peter J. Fleming. An Adaptive Divide-and-Conquer Methodology for Evolutionary Multi-criterion Optimisation, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 133--147, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1590. Robin C. Purshouse and Peter J. Fleming. Evolutionary Multi-Objective Optimisation: An Exploratory Analysis, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 2066--2073, IEEE Press, Canberra, Australia, December 2003 .

  1591. Robin Charles Purshouse. On the Evolutionary Optimisation of Many Objectives, PhD thesis, Department of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, UK, September 2003 (abstract).

  1592. Lisa Purvis, Steven Harrington, Barry O'Sullivan and Eugene C. Freuder. Creating personalized documents: an optimization approach, in Proceedings of the 2003 ACM Symposium on Document Engineering, pp. 68--77, ACM Press, Grenoble, France, November 2003 .

    1593. Q

  1593. Min Qiu. Prioritizing and Scheduling Road Projects by Genetic Algorithm. Mathematics and Computers in Simulation, 43:569-574, 1997.

  1594. Domenico Quagliarella and Alessandro Vicini. Sub-population Policies for a Parallel Multiobjective Genetic Algorithm with Applications to Wing Design, In 1998 IEEE International Conference On Systems, Man, And Cybernetics, pages 3142--3147, Vol. 4, San Diego, California, October 1998. Institute of Electrical and Electronic Engineers (IEEE).

  1595. Domenico Quagliarella and Alessandro Vicini. Coupling Genetic Algorithms and Gradient Based Optimization Techniques. In D. Quagliarella, J. Périaux, C. Poloni, and G. Winter, editors, Genetic Algorithms and Evolution Strategies in Engineering and Computer Science. Recent Advances and Industrial Applications, chapter 14, pages 289--309. John Wiley & Sons, Chichester, UK, 1998.

  1596. Domenico Quagliarella and Alessandro Vicini. Designing High-Lift Airfoils Using Genetic Algorithms, In Kaisa Miettinen, Marko M. Mäkelä, Pekka Neittaanmäki, and Jacques Periaux, editors, Proceedings of EUROGEN'99, Jyväskylä, Finland, 1999. University of Jyváskylä.

  1597. D. Quagliarella and A. Vicini. GAs for Aerodynamic Shape Design II: Multiobjective Optimization and Multi-Criteria Design, in Von Karman Institute Lecture Series 2000-07. Genetic Algorithms for Optimisation in Aeronautics and Turbomachinery, May 2000.

  1598. D. Quagliarella and A. Vicini. Viscous single and multicomponent airfoil design with genetic algorithms, Finite Elements in Analysis and Design, Vol. 37, No. 5, pp. 365--380, May 2001.

  1599. Domenico Quagliarella and Giorgio Chinnici. Usage of Approximation Techniques in Evolutionary Algorithms with Application Examples to Aerodynamic Shape Design Problems, in William Annicchiarico, Jacques Périaux, Miguel Cerrolaza and Gabriel Winter (editors), Evolutionary Algorithms and Intelligent Tools in Engineering Optimization, pp. 167--189, WIT Press, CIMNE Barcelona, Southampton, Boston, 2005, ISBN 1-84564-038-1 .

  1600. Nestor V. Queipo, Joseph A.C. Humphrey and Alfonso Ortega. Multiobjective Optimization of Component Placement on Printed Wiring Boards, in 1996 Inter-Society Conference on Thermal Phenomena in Electronic Systems, pp. 359--372, IEEE, 1996.

  1601. Nestor V. Queipo and Guy F. Gil. Multiobjective Optimization of Component Placement on Planar Printer Wiring Boards, in Thirteen Annual IEEE Semiconductor Thermal Measurement and Management Symposium, pp. 92--105, IEEE, 1997.

  1602. Nestor V. Queipo, Joseph A.C. Humphrey and Alfonso Ortega. Multiobjective Optimal Placement of Convectively Cooled Electronic Components on Printed Wiring Boards, IEEE Transactions on Components, Packaging, and Manufacturing Technology---Part A, Vol. 21, No. 1, pp. 142--153, March 1998.

  1603. Ramón Quiza Sardiñas. Optimización Multiobjetivos del Proceso de Torneado, PhD thesis, Facultad de Ingeniería Química y Mecánica, Departamento de Ingeniería Mecánica, Universidad de Matanzas "Camilo Cienfuegos", Cuba, 2004 (In Spanish) .

  1604. Lily Rachmawati and Dipti Srinivasan. A Hybrid Fuzzy Evolutionary Algorithm for a Multi-Objective Resource Allocation Problem, in Nadia Nedjah, Luiza M. Mourelle, Marley M.B.R. Vellasco, Ajith Abraham and Mario Köppen (editors), Fifth International Conference on Hybrid Intelligent Systems (HIS'05), pp. 55--60, IEEE Computer Society, Los Alamitos, California, USA, November, 2005 .

    1605. R

  1605. D. Radasanu and E. Barladeanu. A Fuzzy Multiobjective Approach for Optimal Operation of Distribution Systems using Evolutionary Algorithms, in 16th International Conference and Exhibition on Electricity Distribution, Vol. 5, pp. 32--35, IEEE, 2001.

  1606. Paulo V.W. Radtke, Luiz S. Oliveira, Robert Sabourin and Tony Wong. Intelligent Zoning Design Using Multi-Objective Evolutionary Algorithms, in Proceedings of the 7th International Conference on Document Analysis and Recognition---ICDAR'2003, pp. 824--828, Edinburgh, Scotland, August 2003 .

  1607. Paulo V.W. Radtke, Tony Wong and Robert Sabourin. A Multi-objective Memetic Algorithm for Intelligent Feature Extraction, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 767--781, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1608. S. Raha, S. Majumdar and K. Mitra. Effect of Caustic Addition in Epoxy Polymerization Process: A Single and Multiobjective Evolutionary Approach, Macromolecular Theory and Simulations, Vol. 13, pp. 152--161, 2004 .

  1609. Anne M. Raich and Tamas R. Liszkai. Multi-Objective Genetic Algorithms for Sensor Layout Optimization in Structural Damage Detection, in Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark J. Embrechts and Okan Ersoy (editors), Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Complex Systems, and Artificial Life (ANNIE'2003), pp. 889--894, ASME Press, November 2003 .

  1610. Larry Raisanen and Roger M. Whitaker. Multi-objective optimization in area coverage problems for cellular communication networks: evaluation of an elitist evolutionary strategy, in Symposium on Applied Computing. Proceedings of the 2003 ACM symposium on Applied computing, pp. 714--720, ACM Press, Melbourne, Florida, USA, 2003.

  1611. J.K. Rajesh, S.K. Gupta, G.P. Rangaiah and A.K. Ray. Multiobjective optimization of steam reformer performance using genetic algorithm, Industrial & Engineering Chemistry Research, Vol. 39, No. 3, pp. 706--717, March 2000.

  1612. J.K. Rajesh, S.K. Gupta, G.P. Rangaiah and A.K. Ray. Multi-objective optimization of industrial hydrogen plants, Chemical Engineering Science, Vol. 56, No. 3, pp. 999--1010, February 2001.

  1613. I. J. Ramírez-Rosado, J. L. Bernal-Agustín, V. Miranda, and L. M. Barbosa-Proenca. Multiobjective Planning of Power Distribution Systems Using Evolutionary Algorithms, In 8th IASTED International Conference (Modelling, Identification and Control-MIC'99), Innsbruck, Austria, February 1999.

  1614. Ignacio L. Ramírez-Rosado and José L. Bernal-Agustín. Reliability and Cost Optimization for Distribution Networks Expansion Using an Evolutionary Algorithm, IEEE Transactions on Power Systems, Vol. 16, No. 1, pp. 111-118, February 2001 .

  1615. Ricardo M. Ramos, Rodney R. Saldanha, Ricardo H.C. Takahashi and Fernando J.S. Moreira. The Real-Biased Multiobjective Genetic Algorithm and Its Application to the Design of Wire Antennas, IEEE Transactions on Magnetics, Vol. 39, No. 3, pp. 1329--1332, May 2003 .

  1616. Ruedee Rangsaritratsamee. Analysis of Scheduling and Frozen Intervals in Dynamic Rescheduling, PhD Thesis, Industrial Engineering Department, Clemson University, Clemson, South Carolina, August 2002 (abstract).

  1617. S. Ranji Ranjithan, S. Kishan Chetan, and Harish K. Dakshima. Constraint Method-Based Evolutionary Algorithm (CMEA) 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 299-313. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.

  1618. S. S. Rao. Genetic Algorithmic Approach for Multiobjective Optimization of Structures. In ASME Annual Winter Meeting, Structures and Controls Optimization, volume AD-Vol. 38, pages 29-38, New Orleans, Louisiana, November 1993. ASME.

  1619. Farzan Rashidi and Mehran Rashidi. Limit Cycle Prediction in Multivariable Nonlinear Systems Using Genetic Algorithms, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 60--68, Seattle, Washington, USA, June 2004 .

  1620. Fr&ecuate;déric Ratle, Benoît Lecarpentier, Richard Labib and Fracçois Trochu. Multi-objective Optimization of a Composite Material Spring Design Using an Evolutionary Algorithm, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 803--811, Birmingham, UK, September 2004 .

  1621. G. Ravi, Santosh K. Gupta, and M.B. Ray. Multiobjective Optimization of Cyclone Separators Using Genetic Algorithm, Industrial and Engineering Chemistry Research, Vol. 39, No. 11, pp. 4272--4286, November 2000 .

  1622. G. Ravi, Santosh K. Gupta, S. Viswanathan and M.B. Ray. Optimization of Venturi Scrubbers Using Genetic Algorithm, Industrial and Engineering Chemistry Research, Vol. 41, No. 12, pp. 2988--3002, June 2002 .

  1623. Tapabrata Ray, Tai Kang, and Seow Kian Chye. An Evolutionary Algorithm for Constrained Optimization. In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee, and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 771-777, San Francisco, California, 2000. Morgan Kaufmann.

  1624. Tapabrata Ray, Tai Kang, and Seow Kian Chye. Multiobjective Design Optimization by an Evolutionary Algorithm. Engineering Optimization, Vol. 33, No. 3, pp. 399--424, 2001.

  1625. Tapabrata Ray and Kang Tai. An Evolutionary Algorithm with a Multilevel Pairing Strategy for Single and Multiobjective Optimization, Foundations of Computing and Decision Sciences, Vol. 26, pp. 75--98, 2001 .

  1626. Tapabrata Ray and K.M. Liew. A Swarm Metaphor for Multiobjective Design Optimization, Engineering Optimization, Vol. 34, No. 2, pp. 141--153, March 2002 .

  1627. Tapabrata Ray. Constrained Robust Optimal Design using a Multiobjective Evolutionary Algorithm, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 419--424, IEEE Service Center, Piscataway, New Jersey, May 2002 .

  1628. Tapabrata Ray, Poan Choy Ling and Tai Kang. A New Fitness Assignment and Parent Selection Strategy Within an Evolutionary Algorithm for Constrained Optimization Problems, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 31--35, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  1629. Tapabrata Ray. Applications of Multi-Objective Evolutionary Algorithms in Engineering Design, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 29--52, World Scientific, Singapore, 2004.

  1630. Madhumita B. Ray. Applications of a Multi-Objective Genetic Algorithm in Chemical and Environmental Engineering, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 317--339, World Scientific, Singapore, 2004.

  1631. Brian J. Reardon. Fuzzy Logic vs. Niched Pareto Multiobjective Genetic Algorithm Optimization: Part I. Schaffer's F2 Problem, Technical Report LA-UR-97-3675, Los Alamos National Laboratory, Los Alamos, New Mexico, September 1997.

  1632. Brian J. Reardon. Fuzzy Logic vs. Niched Pareto Multiobjective Genetic Algorithm Optimization: Part II. A Simplified Born-Mayer Problem, Technical Report LA-UR-97-3676, Los Alamos National Laboratory, Los Alamos, New Mexico, September 1997.

  1633. Brian J. Reardon. Optimization of Micromechanical Densification Modeling Parameters For Copper Powder using a Fuzzy Logic Based Multiobjective Genetic Algorithm, Technical Report LA-UR-98-0419, Los Alamos National Laboratory, Los Alamos, New Mexico, January 1998.

  1634. Brian J. Reardon. Optimization of Densification Modeling Parameters of Beryllium Powder using a Fuzzy Logic Based Multiobjective Genetic Algorithm, Technical Report LA-UR-98-1036, Los Alamos National Laboratory, Los Alamos, New Mexico, March 1998.

  1635. Brian J. Reardon. Optimizing the Hot Isostatic Pressing Process, Materials and Manufacturing Processes, Vol. 18, No. 3, pp. 493--508, 2003 .

  1636. A. Raji Reddy and Kalyanmoy Deb. Identification of Multiple Gene Subsets Using Multi-objective Evolutionary Algorithms, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 623--637, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1637. Patrick M. Reed, Barbara S. Minsker and David E. Goldberg.Designing a New Elitist Nondominated Sorted Genetic Algorithm for a Multiobjective Long Term Groundwater Monitoring Application, Proceedings of the 2001 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 352--358, San Francisco, California, July 2001.

  1638. Patrick M. Reed, Barbara S. Minsker and David E. Goldberg.A multiobjective approach to cost effective long-term groundwater monitoring using an elitist nondominated sorted genetic algorithm with historical data, Journal of Hydroinformatics, Vol. 3, No. 2, pp. 71--89, April 2001.

  1639. Patrick M. Reed, Barbara S. Minsker and David E. Goldberg.The Practitioner's Role in Competent Search and Optimization Using Genetic Algorithms, in Don Phelps and Gerald Sehlke (editors), Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges. Proceedings of the World Water and Environmental Resources Congress, American Society of Civil Engineers. ISBN 0-7844-0569-7, Washington, DC, 2001.

  1640. Patrick M. Reed, Barbara S. Minsker and David E. Goldberg.Why Optimize Long Term Groundwater Monitoring Design? A Multiobjective Case Study of Hill Air Force Base, in Don Phelps and Gerald Sehlke (editors), Bridging the Gap: Meeting the World's Water and Environmental Resources Challenges. Proceedings of the World Water and Environmental Resources Congress, American Society of Civil Engineers. ISBN 0-7844-0569-7, Washington, DC, 2001.

  1641. Patrick M. Reed, Barbara S. Minsker and David E. Goldberg.Designing a New Elitist Nondominated Sorted Genetic Algorithm for a Multiobjective Long Term Groundwater Monitoring Application, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 1454, Morgan Kaufmann Publishers, San Francisco, California, July 2001.

  1642. Patrick M. Reed and Barbara S. Minsker. Discovery and Negotiation using Multiobjective Genetic Algorithms: A Case Study in Groundwater Monitoring Design, in R.A. Falconer, B. Lin, E.L. Harris and C.A.M.E. Wilson (editors), Hydroinformatics 2002, Volume Two: Software Tools and Management Systems, Proceedings of the 5th International Conference on Hydroinformatics, pp. 988--993, IWA Publishing, London 2002 .

  1643. Patrick Michael Reed. Striking the Balance: Long-Term Groundwater Monitoring Design for Multiple Conflicting Objectives, PhD Thesis, Graduate College of the University of Illinois at Urbana-Champaign, Urbana, Illinois, 2002 (abstract) .

  1644. Patrick Reed, Barbara S. Minsker and David E. Goldberg, Simplifying multiobjective optimization: An automated design methodology for the nondominated sorted genetic algorithm-II, Water Resources Research, Vol. 39, No. 7, pp. TNN 2.1--2.5, July 2003 .

  1645. Patrick Reed and Venkat Devireddy. Groundwater Monitoring Design: A Case Study Combining Epsilon Dominance Archiving and Automatic Parameterization for the NSGA-II, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 79--100, World Scientific, Singapore, 2004.

  1646. J. Regnier, B. Sareni and X. Roboam. System optimization by multiobjective genetic algorithms and analysis of the coupling between variables, constraints and objectives, COMPEL-The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Vol. 24, No. 3, pp. 805--820, 2005 .

  1647. Brahim Rekiek, Fabrice Pellichero, Pierre De Lit, Emanuel Falkenauer, and Alain Delchambre. A Resource Planner for Hybrid Assembly Lines. In Proceedings of the 15th International Conference on CAD/CAM Robotics & Factories of the Future CAR & FOF'99, volume 1, pages MW6-18-MW6-23, August 1999.

  1648. Brahim Rekiek. Multiple-Objectives Genetic Algorithm. In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, page 401, Orlando, Florida, July 1999.

  1649. Brahim Rekiek, Pierre De Lit, Fabrice Pellichero, Thomas L'Eglise, Emanuel Falkenauer, and Alain Delchambre. Dealing With User's Preferences in Hybrid Assembly Lines Design. In Proceedings of the MCPL'2000 Conference, 2000.

  1650. Brahim Rekiek. Assembly Line Design (multiple objective grouping genetic algorithm and the balancing of mixed-model hybrid assembly line). PhD thesis, Free University of Brussels, CAD/CAM Department, Brussels, Belgium, December 2000 .

  1651. Brahim Rekiek, Pierre de Lit, Fabrice Pellichero, Thomas L'Eglise, Patrick Fouda, Emanuel Falkenauer and Alan Delchambre. A multiple objective grouping genetic algorithm for assembly line design, Journal of Intelligent Manufacturing, Vol. 12, Nos. 5--6, pp. 467--485, 2001.

  1652. B. Rekiek, P. De Lit and A. Delchambre. Hybrid Assembly Line Design and User's Preferences, International Journal of Production Research, Vol. 40, No. 5, pp. 1095--1111, March 2002 .

  1653. Xiaolin Ren and Barbara Minsker. Which Groundwater Remediation Objective is Better, a Realistic One or a Simple One?, in American Society of Civil Engineers (ASCE) Environmental & Water Resources Institute (EWRI) World Water & Environmental Resources Congress 2003 & Related Symposia, Philadelphia, PA, 2003 .

  1654. Margarita Reyes Sierra and Carlos A. Coello Coello. Improving PSO-Based Multi-objective Optimization Using Crowding, Mutation and e-Dominance, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 505--519, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1655. Margarita Reyes Sierra and Carlos A. Coello Coello. Fitness Inheritance in Multi-Objective Particle Swarm Optimization, in 2005 IEEE Swarm Intelligence Symposium (SIS'05), pp. 116--123, IEEE Press, Pasadena, California, June 2005 .

  1656. J.H. Reynolds. Multi-Criteria Assessment of Ecological Process Models using Pareto Optimization, PhD thesis, University of Washington, Seattle, Washington, USA, 1997.

  1657. J. H. Reynolds and E. D. Ford. Multi-criteria assessment of ecological process models. Ecology, 80(5):538-553, may 1999.

  1658. Hendrik Richter. An Evolutionary Algorithm for Controlling Chaos: The Use of Multi-objective Fitness Functions, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 308--317, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002 .

  1659. Heather Erin Rickard. Feature Selection for Self-Organizing Feature Map Neural Networks With Applications in Medical Image Segmentation, Masters Thesis, Department of Electrical Engineering, University of Louisville, December 2001 (abstract)
    1660. .

  1660. John Rieffel and Jordan Pollack. The Emergence of Ontogenic Scaffolding in a Stochastic Development Environment, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 804--815, Seattle, Washington, USA, June 2004 .

  1661. John Rieffel and Jordan Pollack. Evolving Assembly Plans for Fully Automated Design and Assembly, in Jason Lohn, David Gwaltney, Gregory Hornby, Ricardo Zebulum, Didier Keymeulen and Adrian Stoica (editors), 2005 NASA/DoD Conference on Evolvable Hardware, pp. 165--170, IEEE Computer Society Press, Los Alamitos, California, July 2005 .

  1662. John Rieffel and Jordan Pollack. Automated Assembly as Situated Development: Using Artificial Ontogenies to Evolve Buildable 3-D Objects, in Hans-Georg Beyer et al. (editors), 2005 Genetic and Evolutionary Computation Conference (GECCO'2005), pp. 99--106, Vol. 1, ACM Press, New York, USA, June 2005 .

  1663. Brian J. Ritzel, J. Wayland Eheart, and S. Ranjithan. Using genetic algorithms to solve a multiple objective groundwater pollution containment problem. Water Resources Research, 30(5):1589-1603, may 1994.

  1664. Francisco Rivas-Dávalos and Malcolm R. Irving. An Approach Based on the Strength Pareto Evolutionary Algorithm 2 for Power Distribution System Planning, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 707--720, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1665. Steven Andrew Roberts. Configuration Optimization in Socio-Ecological Systems, PhD thesis, University of Waterloo, Waterloo, Canada, 2003 (abstract).

  1666. Tea Robic and Bodgan Filipic. DEMO: Differential Evolution for Multiobjective Optimization, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 520--533, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1667. Mayron Rodrigues de Almeida, Marco Aurélio Cavalcanti Pacheco, Sílvio Hamacher, and Marley B.R. Vellasco. The Energy Minimization Method: A Multiobjective Fitness Evaluation Technique and Its Application to the Production Scheduling in a Petroleum Refinery, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, IEEE Service Center, Piscataway, New Jersey, pp. 560--567, May 2001 .

  1668. Katya Rodríguez-Vázquez, Carlos M. Fonseca, and Peter J. Fleming. Multiobjective Genetic Programming : A Nonlinear System Identification Application, In John R. Koza, editor, Late Breaking Papers at the Genetic Programming 1997 Conference, pages 207-212, Stanford University, California, July 1997. Stanford Bookstore.

  1669. Katya Rodríguez-Vázquez and Peter J. Fleming. A Genetic Programming/NARMAX Approach to Non-Linear System Identification. In Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA'97), pages 409-414, 1997.

  1670. Katya Rodríguez-Vázquez and Peter J. Fleming. Multiobjective Genetic Programming for Non-Linear System Identification, Electronics Letters, 34(9):930-931, 1998.

  1671. Katya Rodríguez-Vázquez and Peter J. Fleming. Multiobjective Genetic Programming for a Gas Turbine Engine Model Identification, In UKACC International Conference on Control'98, Vol. 2, pages 1385-1390, 1998.

  1672. Katya Rodríguez-Vázquez and Peter J. Fleming. Non-Linear System Identification: Use of Genetic Programming to Satisfy Multiple Objectives. In Ajtonyi and Czap, editors, INTCOM'98 Symposium on Intelligent Systems in Control and Measurement, pages 148-154, 1998.

  1673. Katya Rodríguez-Vázquez and Peter J. Fleming. Genetic Programming for Dynamic Chaotic Systems Modelling. In 1999 Congress on Evolutionary Computation, pages 22-28, Washington, D.C., July 1999. IEEE Service Center.

  1674. Katya Rodríguez-Vázquez. Multiobjective Evolutionary Algorithms in Non-Linear System Identification, PhD thesis, Department of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, UK, 1999.

  1675. Katya Rodríguez-Vázquez. Identification of MIMO Non-Linear Systems Using Evolutionary Computation. In Late Breaking Papers at the 2000 Genetic and Evolutionary Computation Conference, pages 411-417, Las Vegas, Nevada, July 2000.

  1676. Katya Rodríguez Vázquez and Peter J. Fleming. Functionality and Optimality in Circuit Design: A Genetic Programming Approach. In Proceedings of the Third International Symposium on Adaptive Systems--Evolutionary Computation and Probabilistic Graphical Models, Institute of Cybernetics, Mathematics and Physics, pages 23--28, Havana, Cuba, March 19-23 2001 .

  1677. K. Rodríguez-Vázquez, C.M. Fonseca and P.J. Fleming. , IEEE Transactions on Systems, Man, and Cybernetics---Part A: Systems and Humans, Vol. 34, No. 4, pp. 531--545, July 2004 .

  1678. Jorge E. Rodríguez, Andrés L. Medaglia and Juan P. Casas. Approximation to the Optimum Design of a Motorcycle Frame using Finite Element Analysis and Evolutionary Algorithms, in Ellen J. Bass (editor), Proceedings of the 2005 IEEE Systems and Information Engineering Design Symposium, IEEE Press, pp. 277--285, 2005 .

  1679. K. Rodriguez-Vazquez and P.J. Fleming. Evolution of mathematical models of chaotic systems based on multiobjective genetic programming, Knowledge and Information Systems, Vol. 8, No. 2, pp. 235--256, August 2005 .

  1680. James L. Rogers. Optimum Actuator Placement with a Genetic Algorithm for Aircraft Control, In Cihan H. Dagli, Anna L. Buczak, Joydeep Ghosh, Mark J. Embrechts, and Okan Ersoy, editors, Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining, and Complex Systems (ANNIE'99), pages 355-360, New York, November 1999. ASME Press.

  1681. James L. Rogers. A Parallel Approach to Optimum Actuator Selection With A Genetic Algorithm, In AIAA Paper No. 2000-4484, AIAA Guidance, Navigation, and Control Conference, Denver, Colorado, August 14-17 2000.

  1682. Edmund Ronald. When Selection Meets Seduction. In Larry J. Eshelman, editor, Proceedings of the Sixth International Conference on Genetic Algorithms, pages 167-173, San Mateo, California, July 1995. University of Pittsburgh, Morgan Kaufmann Publishers.

  1683. P. Roosen, S. Uhlenbruck and K. Lucas. Pareto optimization of a combined cycle power system as a decision support tool for trading off investment vs. operating costs, International Journal of Thermal Sciences, Vol. 42, No. 6, pp. 553--560, June 2003.

  1684. R. S. Rosenberg. Simulation of genetic populations with biochemical properties. PhD thesis, University of Michigan, Ann Harbor, Michigan, 1967.

  1685. Corina Rotar. An Evolutionary Technique for Multicriterial Optimization Based on Endocrine Paradigm, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 414--415, Seattle, Washington, USA, June 2004 .

  1686. Olga Roudenko. Application des Algorithmes Evolutionnaires aux problèmes d'optimisation multi-critère avec contraintes, PhD thesis, Université Paris 6, Paris, France, 2004 (In French) .

  1687. Carl Rouhiainen and Moses O. Tade. Genetic Algorithms for Optimal Scheduling of Chlorine Dosing in Water Distribution Systems, in 20th Convention of the Australian Water Association, Perth, Australia, 6-10 April 2003 .

  1688. C.J. Rouhiainen, M.O. Tade and G. West, Multi-Objective Genetic Algorithm for Optimal Scheduling of Chlorine Dosing in Water Distribution Systems, in C Maksimovic, D. Butler and F. Ali Memon (eds.), Advances in Water Supply Management, Proceedings of the International Conference on Computers and Control in the Water Industry (CCWI 2003), Imperial College, London, U.K., 15-17 September 2003, Balkema Publishers, The Netherlands, pages 459-469 .

  1689. Jon Rowe, Kevin Vinsen, and Nick Marvin. Parallel GAs for Multiobjective Functions, In Jarmo T. Alander, editor, Proceedings of the Second Nordic Workshop on Genetic Algorithms and Their Applications (2NWGA), pages 61-70, Vaasa, Finland, August 1996. University of Vaasa.

  1690. Rajkumar Roy, Ahsutosh Tiwari, Olivier Munaux and Graham Jared. Real-life engineering design optimisation: Features and techniques, In J. Martikainen and J. Tanskanen (editors) CDROM Proceedings of the 5th Online World Conference on Soft Computing in Industrial Applications (WSC5)---ISBN 951-22-5205-8, IEEE Finland, 2000.

  1691. Abhishek Roy, Nilanjan Banerjee and Sajal K. Das. An Efficient Multi-Objective QoS Routing Algorithm for Real-Time Wireless Multicasting, in Preston Jackson (editor), IEEE Semiannual Vehicular Technology Conference, Vol. 3, pp. 1160--1164, IEEE, Birmingham, Alabama, May 2002.

  1692. Abhishek Roy and Sajal K. Das. QM²RO: A QoS-Based Mobile Multicast Routing Protocol Using Multiobjective Genetic Algorithms, Wireless Networks, Vol. 10, No. 3, pp. 271--286, May 2004 .

  1693. Bonnie Rubenstein-Montano and Ross A. Malaga. A Weighted Sum Genetic Algorithm to Support Multiple-Party Multi-Objective Negotiations, IEEE Transactions on Evolutionary Computation, Vol. 6, No. 4, pp. 366--377, August 2002

  1694. Olga Rudenko, Marc Schoenauer, Tiziana Bosio and Roberto Fontana. A Multiobjective Evolutionary Algorithm for Car Front End Design, in Pierre Collet, Cyril Fonlupt, Jin-Kao Hao, Evelyne Lutton and Marc Schoenauer (editors), Artificial Evolution. 5th International Conference, Evolution Artificielle, EA'2001. Selected Papers, pp. 205--216, Springer, 2001.

  1695. Olga Rudenko and Marc Schoenauer. Dominance Based Crossover Operator for Evolutionary Multi-objective Algorithms, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 812--821, Birmingham, UK, September 2004 .

  1696. Günter Rudolph. On a Multi-Objective Evolutionary Algorithm and Its Convergence to the Pareto Set, In Proceedings of the 5th IEEE Conference on Evolutionary Computation, pages 511-516, Piscataway, New Jersey, 1998. IEEE Press.

  1697. Günter Rudolph. Evolutionary Search for Minimal Elements in Partially Ordered Finite Sets. In V.W. Porto, N. Saravanan, D. Waagen, and A.E. Eiben, editors, Evolutionary Programming VII, Proceedings of the 7th Annual Conference on Evolutionary Programming, pages 345-353, Berlin, 1998. Springer .

  1698. Günter Rudolph and Alexandru Agapie. Convergence Properties of Some Multi-Objective Evolutionary Algorithms,In Proceedings of the 2000 Conference on Evolutionary Computation, volume 2, pages 1010-1016, Piscataway, New Jersey, July 2000. IEEE Press.

  1699. Günter Rudolph. Evolutionary Search under Partially Ordered Fitness Sets. In Proceedings of the International NAISO Congress on Information Science Innovations (ISI 2001), pages 818-822. ICSC Academic Press: Millet/Sliedrecht, 2001.

  1700. Günter Rudolph. Some Theoretical Properties of Evolutionary Algorithms under Partially Ordered Fitness Values. In Cs. Fabian and I. Intorsureanu, editors, Proceedings of the Evolutionary Algorithms Workshop (EAW-2001), pages 9-22, Bucharest, Romania, January 2001 .

  1701. Günter Rudolph. A Partial Order Approach to Noisy Fitness Functions, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, pp. 318--325, IEEE Service Center, Piscataway, New Jersey, 2001 .

  1702. Harry C.S. Rughooputh and Robert T.F. Ah King. Environmental/Economic Dispatch of Thermal Units using an Elitist Multiobjective Evolutionary Algorithm, in Proceedings of the 2003 IEEE International Conference on Industrial Technology (ICIT 2003), Vol. 1, pp. 48--53, IEEE, Maribor, Slovenia, December 2003

  1703. Alex J. Ruiz-Torres, E. Emory Enscore and Russell R. Barton. Simulated Annealing Heuristics for the Average Flow-Time and the Number of Tardy Jobs Bi-Criteria Identical Parallel Machine Problem, Computers and Industrial Engineering, Vol. 33, Nos. 1--2, pp. 257--260, 1997 .

  1704. A. Rummler and A. Apetrei. Graph Partitioning Revised---A Multiobjective Perspective, in Proceedings of the 6th World Conference on Systemics, Cybernetics and Informatics, Orlando, Florida, USA, 2002.

  1705. Enrique H. Ruspini and Igor S. Zwir. Automated Qualitative Description of Measurements,In Proceedings of the 16th IEEE Instrumentation and Measurement Technology Conference, Venice, Italy, 1999.

  1706. S. Ruzika and M.M. Wiecek. Approximation methods in multiobjective programming, Journal of Optimization Theory and Applications, Vol. 126, No. 3, pp. 473--501, September 2005 .

  1707. Conor Ryan. Pygmies and Servants. In Jr. Kenneth E. Kinnear, editor, Advances in Genetic Programming, pages 243-263. The MIT Press, Cambridge, Massachussets, 1994.

  1708. Conor Ryan. Racial Harmony and Function Optimization in Genetic Algorithms--The Races Genetic Algorithm, In John R. McDonnell, Robert G. Reynolds, and David B. Fogel, editors, Evolutionary Programming IV: Proceedings of the Fourth Annual Conference on Evolutionary Programming, pages 109-125, Cambridge, Massachusetts, 1995. MIT Press.

  1709. Juntaek Ryoo. Adaptation of Evolutionary Search in Topology and Decomposition Based Design Optimization, PhD Thesis, Mechanical Engineering Department, Rensselaer Polytechnic Institute, Troy, New York, August 2002 (abstract).

    1710. S

  1710. Pal Saetrom and Magnus Lie Hetland, Multiobjective Evolution of Temporal Rules, in Proceedings of the 8th Scandinavian Conference on Artificial Intelligence, IOS Press, Bergen, Norway, November 2003 .

  1711. Sadiq M. Sait, Habib Youseff, and Hussain Ali. Fuzzy Simulated Evolution Algorithm for Multi-objective Optimization of VLSI Placement. In 1999 Congress on Evolutionary Computation, pages 91-97, Washington, D.C., July 1999. IEEE Service Center.

  1712. Sadiq M. Sait, Habib Youssed and Junaid A. Khan.Fuzzy Evolutionary Algorithm for VLSI Placement, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 1056--1063, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

  1713. Sadiq M. Sait, Mahmood R. Minhas and Junaid A. Kha. Performance and Low Power Driven VLSI Standard Cell Placement using Tabu Search, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 372--377, IEEE Service Center, Piscataway, New Jersey, May 2002

  1714. Masatoshi Sakawa, Masahiro Inuiguchi, Hideaki Sunada, and Kazuya Sawada. Fuzzy Multiobjective Combinatorial Optimization Through Revised Genetic Algorithms. Japanese Journal of Fuzzy Theory and Systems, 6(1):77-88, 1994.

  1715. Masatoshi Sakawa, Kosuke Kato, and Toshihiro Shibano. An interactive fuzzy satisficing method for multiobjective multidimensional 0-1 knapsack problems through genetic algorithms, In Proceedings of the 1996 International Conference on Evolutionary Computation (ICEC'96), pages 243-246, 1996.

  1716. Masatoshi Sakawa, Kosuke Kato, and Toshihiro Shibano. Fuzzy Programming For Multiobjective 0-1 Programming Problems Through Revised Genetic Algorithms. European Journal Of Operations Research, 97(1):149-158, 1997.

  1717. Masatoshi Sakawa and Toshihiro Shibano. An interactive fuzzy satisficing method for multiobjective 0-1 programming problems with fuzzy numbers through genetic algorithms with double strings. European Journal Of Operations Research, 107(3):564-574, June 1998.

  1718. Masatoshi Sakawa, Toshihiro Shibano, and Hidenobu Obata. An Interactive Fuzzy Method for Multiobjective 0-1 Programming Problems with Fuzzy Number Criteria Using Genetic Algorithms. Electronics and Communications in Japan (Part III: Fundamental Electronic Science), 81(8):64-72, 1998.

  1719. Masatoshi Sakawa, Toshihiro Shibano and Kosuke Kato. An Interactive Fuzzy Satisficing Method for Multiobjective Integer Programming Problems through Genetic Algorithms, in L.C. Jain and R.K. Jain (Editors), Second International Conference on Knowledge-Based Intelligent Electronic Systems, pp. 94--100, IEEE, Adelaide, Australia, 1998.

  1720. Masatoshi Sakawa and R. Kubota. Fuzzy programming for multiobjective job shop scheduling with fuzzy processing time and fuzzy duedate through genetic algorithms. European Journal Of Operations Research, 120(2):393-407, 2000.

  1721. Masatoshi Sakawa. Genetic Algorithms and Fuzzy Multiobjective Optimization, Kluwer Academic Publishers, Boston, ISBN 0-7923-7452-5, 2002 .

  1722. Maximino Salazar Lechuga. Resolución de Problemas Multi-Objetivo a Través de Optimización Mediante Cúmulos de Partículas, Master's Thesis, Maestría en Inteligencia Artificial, Universidad Veracruzana, Xalapa, Veracruz, México, February 2002 (In Spanish).

  1723. Daniel Salazar, Néstor Carrasquero and Blas Galván. Exploiting Comparative Studies Using Criteria: Generating Knowledge from an Analyst's Perspective, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 221--234, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1724. F. Sibel Salman, Jayan Kalagnanam and Sesh Murthy. Cooperative Strategies for Solving the Bicriteria Sparse Multiple Knapsack Problem, In 1999 Congress on Evolutionary Computation, pages 53--60, Washington, D.C., July 1999. IEEE Service Center .

  1725. L. Saludjian, J. L. Coulomb, and A. Iazbelle. Genetic Algorithm and Taylor Development of the Finite Element Solution for Shape Optimization of Electromagnetic Devices. IEEE Transactions on Magnetics, 34(5):2841-2844, September 1998.

  1726. Gracia Sánchez Carpena. Diseño y Evaluación de Algoritmos Evolutivos Multiobjetivo en Optimización y Modelación Difusa, PhD Thesis, Departamento de Ingeniería de la Información y las Comunicaciones, Universidad de Murcia, Murcia, Spain, November, 2002 (in Spanish).

  1727. M.P. Sanchez and J.A. Almansa. A real application example of a control structure selection by means of a multiobjective genetic algorithm, in Artificial Neural Nets Problem Solving Methods, Part II. Springer. Lecture Notes in Computer Science. Volume 2687, pp. 369--376, 2003 .

  1728. Eric Sandgren. Multicriteria design optimization by goal programming. In Hojjat Adeli, editor, Advances in Design Optimization, chapter 23, pages 225-265. Chapman & Hall, London, 1994.

  1729. Nuntapon Sangkawelert and Nachol Chaiyaratana. Diversity Control in a Multi-Objective Genetic Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2704--2711, IEEE Press, Canberra, Australia, December 2003 .

  1730. Luis Vicente Santana-Quintero and Carlos A. Coello Coello. An Algorithm Based on Differential Evolution for Multiobjective Problems, in Cihan H. Dagli, Anna L. Buczak, David L. Enke, Mark J. Embrechts and Okan Ersoy (editors), Smart Engineering System Design: Neural Networks, Evolutionary Programming and Artificial Life, Vol. 15, pp. 211--220, ASME Press, St. Louis, Missouri, USA, November 2005 .

  1731. Amâncio Santos and António Dourado Pereira Correia. Constrained GA Applied to Production and Energy Mangement of a Pulp and Paper Mill, In Janice Carroll, Hisham Haddad, Dave Oppenheim, Barrett Bryant, and Gary B. Lamont, editors, Proceedings of the 1999 ACM Symposium on Applied Computing, pages 324-332, San Antonio, Texas, 1999. ACM.

  1732. D. Sarkar and J.M. Modak. Pareto-optimal solutions for multi-objective optimization of fed-batch bioreactors using nondominated sorting genetic algorithm, Chemical Engineering Science, Vol. 60, No. 2, pp. 481--492, January 2005 .

  1733. R. Sarker, K. Liang and C. Newton. A Multiobjective Evolutionary Algorithm, in International Computer Science Convention Congress on Intelligent Systems and Applications (ISA'2000), pp. 125--131, Vol. 2, Wollongong, Australia, 2000 .

  1734. R. Sarker, H.A. Abbass and C. Newton. Solving Multiobjective Optimization Problems Using Evolutionary Algorithm, The International Conference on Computational Intelligence for Modelling, Control and Automation (CIMCA'2001), pp. 149--160, Las Vegas, Nevada, July 2001 .

  1735. R. Sarker, H.A. Abbass and S. Karim.An Evolutionary Algorithm for Constrained Multiobjective Optimization Problems, The 5th Australasia-Japan Joint Workshop on Intelligent and Evolutionary Systems (AJWIS'2001), pp. 113--122, Dunedin, New Zealand, November 2001 .

  1736. Ruhul Sarker and Carlos A. Coello Coello. Assessment Methodologies for Multiobjective Evolutionary Algorithms, in Ruhul Sarker, Masoud Mohammadian and Xin Yao (eds), Evolutionary Optimization, pp. 177--195, Kluwer Academic Publishers, New York, February 2002, ISBN 0-7923-7654-4. .

  1737. R. Sarker, H. Abbass and C. Newtorn. Solving Two Multi-objective Optimization Problems using Evolutionary Algorithm, In M. Mohammadian, R. Sarker and X. Yao (editors), Computational Intelligence in Control, Idea Group Publishing, USA .

  1738. R. Sarker, K. Liang and C. Newton. A New Evolutionary Algorithm for Multiobjective Optimization, European Journal of Operational Research, Vol. 140, No. 1, pp. 12--23, 2002 .

  1739. Ruhul Sarker, Masoud Mohammadian and Xin Yao (Editors), Evolutionary Optimization, Kluwer Academic Publishers, Boston, ISBN 0-7923-7654-4, February 2002 .

  1740. Ruhul A. Sarker, Hussein A. Abbass and Charles S. Newton, Solving Two Multi-Objective Optimization Problems Using Evolutionary Algorithm, in Masoud Mohammadian, Ruhul Amin Sarker and Xin Yao (Editors), Computational Intelligence in Control, Chapter XIII, pp. 218--232, Idea Group Publishing, Hershey, Philadelphia, USA, 2003 .

  1741. Ruhul Sarker and Hussein A. Abbass. Differential evolution for solving multiobjective optimization problems, Asia-Pacific Journal of Operational Research, Vol. 21, No. 2, pp. 225--240, June 2004 .

  1742. D. Sasaki, S. Obayashi and K. Nakahashi. Navier-Stokes Optimization of Supersonic Wings with Four Objectives Using Evolutionary Algorithm, Journal of Aircraft, Vol. 39, No. 4, pp. 621--629, 2002.

  1743. Hiroshi Sato and Akira Namatame. Co-evolution in Social Interactions, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 2, IEEE Service Center, Piscataway, New Jersey, pp. 1109--1114, May 2001 .

  1744. Hiroyuki Sato, Hernán E. Aguirre and Kiyoshi Tanaka. Local Dominance Using Polar Coordinates to Enhance Multiobjective Evolutionary Algorithms, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 188--195, Portland, Oregon, USA, June 2004 .

  1745. Hiroyuki Sato, Hernán E. Aguirre and Kiyoshi Tanaka. Enhanced Multi-objective Evolutionary Algorithms Using Local Dominance, in Proceedings of the 2004 RISP International Workshop on Nonlinear Circuits and Signal Processing (NCSP 2004), pp. 319--322, The Research Institute of Signal Processing Japan, Hawaii, USA, March 2004 .

  1746. Dragan A. Savic, Godfrey A. Walters, and Martin Schwab. Multiobjective Genetic Algorithms for Pump Scheduling in Water Supply, In AISB International Workshop on Evolutionary Computing. Lecture Notes in Computer Science 1305, pages 227-236, Berlin, April 1997. Springer-Verlag.

  1747. T. M. Sayers and J. M. Anderson. The multi-objective optimisation of a traffic control system, In Avi Ceder, editor, Proceedings of 14th International Symposium on Transportation and Traffic Theory, pages 153-176, Haifa, Israel, July 1999. Technion-Israel, Institute of Technology, Transportation Research Institute.

  1748. Ivo F. Sbalzarini, Sibylle Müller and Petros Koumoutsakos. Multiobjective Optimization using Evolutionary Algorithms, Center for Turbulence Research. Proceedings of the 2000 Summer Program, NASA Ames/Stanford University, pp. 63--74, 2000 .

  1749. Ivo F. Sbalzarini, Sibylle Müller and Petros Koumoutsakos. Microchannel Optimization Using Multiobjective Evolution Strategies. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 516-530. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001.

  1750. J. David Schaffer. Multiple Objective Optimization with Vector Evaluated Genetic Algorithms. PhD thesis, Vanderbilt University, 1984 (abstract).

  1751. J. David Schaffer. Multiple Objective Optimization with Vector Evaluated Genetic Algorithms. In Genetic Algorithms and their Applications: Proceedings of the First International Conference on Genetic Algorithms, pages 93-100. Lawrence Erlbaum, 1985.

  1752. J. David Schaffer and John J. Grefenstette. Multiobjective Learning via Genetic Algorithms. In Proceedings of the 9th International Joint Conference on Artificial Intelligence (IJCAI-85), pages 593-595, Los Angeles, California, 1985. AAAI.

  1753. Jens Scharnow, Karsten Tinnefeld and Ingo Wegener. Fitness Landscapes Based on Sorting and Shortest Paths Problems, in Juan Julián Merelo Guervós, Panagiotis Adamidis, Hans-Georg Beyer, José-Luis Fernández-Villacañas and Hans-Paul Schwefel (eds),Parallel Problem Solving from Nature---PPSN VII, pp. 54--63, Springer-Verlag, Lecture Notes in Computer Science No. 2439, Granada, Spain, September 2002.

  1754. Michael Scheffler and Gerhard Tröster. A Multi-Objective Test vs. Cost Optimization for Electronic Products, in Proceedings of the 26th IEEE/CPMT International Electronics Manufacturing Technology Symposium, pp. 344--351, IEEE, 2000.

  1755. Frank Schlottmann and Detlef Seese. Hybrid multi-objective evolutionary computation of constrained downside risk-return efficient sets for credit portfolio, in Proceedings of the 8th International Conference of the Society for Computational Economics. Computing in Economics and Finance, Aix-en-Provence, France, June 2002.

  1756. Frank Schlottmann and Detlef Seese. A Hybrid Heuristic Approach to Discrete Multi-Objective Optimization of Credit Portfolios,Computational Statistics & Data Analysis, Vol. 47, No. 2, pp. 373--399, September 1, 2004 .

  1757. Frank Schlottmann and Detlef Seese. Financial Applications of Multi-Objective Evolutionary Algorithms: Recent Developments and Future Research Directions, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 627--652, World Scientific, Singapore, 2004.

  1758. Frank Schlottmann, Andreas Mitschele and Detlef Seese. A Multi-objective Approach to Integrated Risk Management, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 692--706, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1759. Frank Schmiedle, Nicole Drechsler, Draniel Große and Rolf Drechsler. Priorities in Multi-Objective Optimization for Genetic Programming, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 129--136, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

  1760. Frank Schmiedle, Nicole Drechsler, Draniel Große and Rolf Drechsler. Heuristic Learning Based on Genetic Programming, Genetic Programming and Evolvable Machines, Vol. 3, No. 4, pp. 363--388, December 2002.

  1761. Volker Schnecke and Oliver Vornberger. Hybrid Genetic Algorithms for Constrained Placement Problems, IEEE Transactions on Evolutionary Computation, 1(4):266-277, November 1997.

  1762. Thorsten Schnier, Xin Yao and Pin Liu. Digital Filter Design Using Multiple Pareto Fronts, Soft Computing, Vol. 8, No. 5, pp. 332--343, April 2004 .

  1763. Jason R. Schott. Fault Tolerant Design Using Single and Multicriteria Genetic Algorithm Optimization. Master's thesis, Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, Massachusetts, May 1995.

  1764. P. Schroder, A. J. Chipperfield, P. J. Fleming, and N. Grum. Multi-Objective Optimization of Distributed Active Magnetic Bearing Controllers, In Genetic Algorithms in Engineering Systems: Innovations and Applications, pages 13-18. IEE, September 1997.

  1765. Oliver Schütze, Sanaz Mostaghim, Michael Dellnitz and Jürgen Teich. Covering Pareto Sets by Multilevel Evolutionary Subdivision Techniques, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 118--132, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1766. Oliver Schütze. A New Data Structure for the Nondominance problem in Multi-objective Optimization, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 509--518, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1767. Oliver Schütze. Set Oriented Methods for Global Optimization, PhD thesis, Fakultät für Elektrotechnik, Informatik und Mathematik, Universität Paderborn, Paderborn, Germany, December 2004 .

  1768. M. Schwab, D. A. Savic, and G. A. Walters. Multi-Objective Genetic Algorithm for Pump Scheduling in Water Supply Systems, Technical Report 96/02, Centre For Systems And Control Engineering, School of Engineering, University of Exeter, Exeter, United Kingdom, 1996.

  1769. Josef Schwarz and Jiri Ocenasek. Evolutionary Multiobjective Bayesian Optimization Algorithm: Experimental Study, In Proceedings of the 35th Spring International Conference: Modelling and Simulation of Systems (MOSIS'01), MARQ, Hradec and Moravici, Czech Republic, pp. 101--108, ISBN 80-85988-57-7, 2001.

  1770. Josef Schwarz and Jiri Ocenasek. Multiobjective Bayesian Optimization Algorithm for Combinatorial Problems: Theory and Practice, Neural Network World, Vol. 11, No. 5, pp. 423--441, 2001.

  1771. Josef Schwarz and Jiri Ocenasek. Pareto Bayesian Optimization Algorithm for the Multiobjective 0/1 Knapsack Problem, in Proceedings of the 7th International Mendel Conference on Soft Computing, Mendel 2001, pp. 131--136, Brno University of Technology, Brno, Czech Republic, ISBN 80-214-1894-X, 2001.

  1772. E. Science, N. Marvin, M. Bower, and R. J. Rowe. An evolutionary approach to constructing prognostic models. Artificial Intelligence in Medicine, 15(2):155-165, February 1999.

  1773. M. Sefrioui and J. Periaux. Nash Genetic Algorithms: examples and applications, In 2000 Congress on Evolutionary Computation, volume 1, pages 509-516, San Diego, California, July 2000. IEEE Service Center.

  1774. Mourad Sefrioui and Jacques Périaux. A Hierarchical Genetic Algorithm Using Multiple Models for Optimization, In Marc Schoenauer, Kalyanmoy Deb, Günter Rudolph, Xin Yao, Evelyne Lutton, J. J. Merelo and Hans-Paul Schwefel (editors), Proceedings of the Parallel Problem Solving from Nature VI Conference, pages 879--888. Springer, 2000

  1775. Renaud Séguier and Nicolas Cladel. Multiobjectives Genetic Snakes: Application on Audio-Visual Speech Recognition, in Proceedings of the 4th EURASIP Conference focused on Video/Image Processing and Multimedia Communications (EC-VIP-MC 2003), Zagreb, Croatia, July 2003 .

  1776. P. Sen and J. B. Yang. Multiple Criteria Decision Support in Engineering Design. Springer-Verlag, London, 1998.

  1777. Paolo Serafini. Simulated Annealing for Multiple Objective Optimization Problems. In G.H. Tzeng, H.F. Wang, U.P. Wen, and P.L. Yu, editors, Proceedings of the Tenth International Conference on Multiple Criteria Decision Making: Expand and Enrich the Domains of Thinking and Application, volume 1, pages 283-294, Berlin, 1994. Springer-Verlag.

  1778. Stefan Sette, Luc Boullart, and Lieva Van Langenhove. Optimizing a Production Process by a Neural Network/Genetic Algorithm Approach. Engineering Applications in Artificial Intelligence, 9(6):681-689, 1996.

  1779. C. Setzkorn and R.C. Paton. On the use of multi-objective evolutionary algorithms for the induction of fuzzy classification rule systems, Biosystems, Vol. 81, No. 2, pp. 101--112, August 2005 .

  1780. K. J. Shaw and P. J. Fleming. An Initial Study of Practical Multi-Objective Production Scheduling using Genetic Algorithms. In Proceedings of the International Conference on Control'96, University of Exeter, UK, September 1996.

  1781. K. J. Shaw and P. J. Fleming. Initial Study of Practical Multi-Objective Genetic Algorithms for Scheduling the Production of Chilled Ready Meals, In Proceedings of Mendel'96, the 2nd International Mendel Conference on Genetic Algorithms, Brno, Czech Republic, September 1996.

  1782. K. J. Shaw and P. J. Fleming. Including Real-Life Preferences in Genetic Algorithms to Improve Optimisation of Production Schedules, In Proceedings of the GALESIA'97, pp. 239--244, Glasgow, Scotland, September 1997. IEE.

  1783. K. J. Shaw and P. J. Fleming. Use of Rules and Preferences for Schedule Builders in Genetic Algorithms Production Scheduling. In Corne and Shapiro, editors, Proceedings of the AISB'97 Workshop on Evolutionary Computation. Lecture Notes in Computer Science No. 1305, Manchester University, 1997. Springer-Verlag.

  1784. K. J. Shaw and P. J. Fleming. An Overview of Multi-Objective Genetic Algorithms for Production Scheduling. In Proceedings of the DTI/ACTT Regional Seminar in Finite Capacity Scheduling in the Process Industries, Manchester, UK, January 1997.

  1785. Katharine Jane Shaw. Using Genetic Algorithms for Practical Multi-Objective Production Schedule Optimisation. PhD thesis, Department of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, UK, 1997.

  1786. K. J. Shaw, A. L. Nortcliffe, M. Thompson, J. Love, C. M. Fonseca, and P. J. Fleming. Assessing the Performance of Multiobjective Genetic Algorithms for Optimization of a Batch Process Scheduling Problem, In 1999 Congress on Evolutionary Computation, pages 37-45, Washington, D.C., July 1999. IEEE Service Center.

  1787. K. J. Shaw, C. M. Fonseca, and P. J. Fleming. A Simple Demonstration of a Quantitative Technique for Comparing Multiobjective Genetic Algorithm Performance. In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pages 119-120, Orlando, Florida, July 1999.

  1788. K.J. Shaw, A.L. Nortcliffe, M. Thompson, J. Love and P.J. Fleming. Interactive Batch Process Schedule Optimization and Decision-Making using Multiobjective Genetic Algorithms, in 1999 IEEE International Conference on Systems, Man, and Cybernetics, Vol. 6, pp. 486--491, IEEE, 1999.

  1789. K. J. Shaw, P. L. Lee, H. P. Nott, and M. Thompson. Genetic Algorithms for Multiobjective Scheduling of Combined Batch/Continuous Process Plants, In 2000 Congress on Evolutionary Computation, volume 1, pages 293-300, Piscataway, New Jersey, July 2000. IEEE Service Center.

  1790. P.S. Shelokar, V.K. Jarayaman and B.D. Kulkarni. Ant algorithm for single and multiobjective reliability optimization problems, Quality and Reliability Engineering International, Vol. 18, No. 6, pp. 497--514, 2002.

  1791. Mu Sheng-jing, Su Hong-ye, Chu Jian and Wang Yue-xuan. An New Evolutionary Multi-objective Optimization algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 914--920, IEEE Press, Canberra, Australia, December 2003 .

  1792. Porter Sherman. Ranking Techniques in Multicriteria Genetic Algorithm-Based Optimization. PhD thesis, Department of Computer and Information Science, Polytechnic University, Brooklyn, New York, 1995 (abstract).

  1793. Chuan Shi, Yan Li and Li-shan Kang. A New Simple and Highly Efficient Multi-objective Optimal Evolutionary Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 1536--1542, IEEE Press, Canberra, Australia, December 2003 .

  1794. Toshihiro Shibano and Masatoshi Sakawa. Interactive Decision Making for Fuzzy Multiobjective 0-1 Programs Through Genetic Algorithms with Double Strings, In Proceedings of the Sixth IEEE Conference on Fuzzy Systems, pages 1639-1644, 1997.

  1795. Hajime Kita Mitsuhiro Shibuya and Shigenobu Kobayashi. Integration of multi-objective and interactive genetic algorithms and its application to animation design, In Proceedings of IEEE Systems, Man, and Cybernetics, volume III, pages 646-651, 1999.

  1796. Mun Bo Shim, Tomonari Furukawa and Shinobu Yoshimura. Pareto-based Continuous Evolutionary Algorithms for Multi-objective Optimization, Engineering Computations, Vol. 19, No. 1, pp. 22-48, 2002 .

  1797. Yoshiaki Shimizu. Multi-Objective Optimization for Site Location Problems through Hybrid Genetic Algorithm with Neural Networks. Journal of Chemical Engineering of Japan, 32(1):51-58, 1999.

  1798. Yoshiaki Shimizu. Multi-Objective Optimization for Mixed-Integer Programs Through Hybrid Genetic Algorithm with Value Function Modeled by Neural Networks, in Proceedings of the 15th Conference of the Australian Society for Operations Research (ASOR), Vol. 2, pp. 1146--1158, 1999.

  1799. Y. Shimizu and Y. Tanaka. Practical Multi-Objective Scheduling through Soft Computing Approach, in Proceedings of the International Symposium on Scheduling, pp. 101--104, Hamamatsu, Japan, June 2002.

  1800. Soo-Yong Shin, In-Hee Lee, Dongmin Kim and Byoung-Tak Zhang. Multiobjective Evolutionary Optimization of DNA Sequences for Reliable DNA Computing, IEEE Transactions on Evolutionary Computation, Vol. 9, No. 2, pp. 143--158, April 2005 .

  1801. Jaqueline S. Shoaf and James A. Foster. A Genetic Algorithm Solution to the Efficient Set Problem: A Technique for Portfolio Selection Based on the Markowitz Model. In Proceedings of the Decision Sciences Institute Annual Meeting, pages 571-573, Orlando, Florida, 1996.

  1802. Li-Sun Shu, Shinn-Jang Ho, Shinn-Ying Ho, Jian-Hung Chen and Ming-Hao Hung. A Novel Multi-objective Orthogonal Simulated Annealing Algorithm for solving Multi-objective Optimization Problems with a Large Number of Parameters, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 737--747, Seattle, Washington, USA, June 2004 .

  1803. Pradyumn Kumar Shukla, Kalyanmoy Deb and Santosh Tiwari. Comparing Classical Generating Methods with an Evolutionary Multi-objective Optimization Method, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 311--325, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1804. Fatma Sibel Salman, Jayan Kalagnanam, and Sesh Murthy. Heuristics for Solving the Bicriteria Sparse Multiple Knapsack Problem. Technical Report RC 21059, IBM T.J. Watson Research Center, 1997.

  1805. Fatma Sibel Salman, Jayant Kalagnanam, and Sesh Murthy. Cooperative strategies for solving the bicriteria sparse multiple knapsack problem, In 1999 Congress on Evolutionary Computation, pages 53-60, Washington, D.C., July 1999. IEEE Service Center.

  1806. Eric V. Siegel and Alexander D. Chaffee. Genetically Optimizing the Speed of Programs evolved to Play Tetris. In Peter J. Angeline and Kenneth E. Kinnear, editors, Advances in Genetic Programming 2, pages 279-298. MIT Press, 1996.

  1807. Valceres V.R. Silva, Wael Khatib and P.J. Fleming. Variable Complexity Modelling for Evolutionary Gas Turbine Control Design, in UKACC International Conference on Control, Vol. 2, pp. 1283--1288, 1998.

  1808. C.M. Silva and E.C. Biscaia. Genetic Algorithm Development for Multi-objective Optimization of Batch Free-Radical Polymerization Reactors, Computers and Chemical Engineering, Vol. 27, pp. 1329--1344, 2003.

  1809. Dong-Joon Sim, Hyun-Kyo Jung, Song-Yop Hahn, and Jong-Soo Won. Application of vector optimization employing modified genetic algorithm to permanent magnet motor design. In Proceedings of Seventh Conference on Electromagnetic Field Computation - CEFEC, page 288, Okayama, Japan, March 1996.

  1810. Dong-Joon Sim, Hyun-Kyo Jung, and Song-Yop Hahn. Multiobjective optimal design of interior permanent magnet synchronous motors considering improved core loss formula, In 1997 IEEE International Electric Machines and Drives Conference Record, pages MA1/2.1-MA1/2.3, Milwaukee, Wisconsin, May 1997.

  1811. Abhishek Singh, Barbara Minsker and David E. Goldberg. Combining Reliability and Pareto Optimality---An Approach Using Stochastic Multi-Objective Genetic Algorithms, in American Society of Civil Engineers (ASCE) Environmental & Water Resources Institute (EWRI) World Water & Environmental Resources Congress 2003 & Related Symposia, Philadelphia, PA, 2003 .

  1812. Pasu Sirisalee, Michael F. Ashby, Geoffrey T. Parks and P. John Clarkson. Multi-Criteria Material Selection in Engineering Design, Advanced Engineering Materials, Vol. 6, Nos. 1--2, pp. 84--92, February 2004 .

  1813. R.E. Smith and Claudio Bonacina. Mating Restriction and Niching Pressure: Results from Agents and Implications for General EC, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 1382--1393, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003 .

  1814. Kevin I. Smith, Richard M. Everson and Jonathan E. Fieldsend. Dominance Measures for Multi-Objective Simulated Annealing, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 23--30, Portland, Oregon, USA, June 2004 .

  1815. Krzysztof Socha and Marek Kisiel-Dorohinicki. Agent-based Evolutionary Multiobjective Optimisation, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 109--114, IEEE Service Center, Piscataway, New Jersey, May 2002

  1816. Maghsud Solimanpur, Prem Vrat and Ravi Shankar. A multi-objective genetic algorithm approach to the design of cellular manufacturing systems,International Journal of Production Research, Vol. 42, No. 7, pp. 1419--1441, April 1, 2004 .

  1817. Grant A.E. Soremekun. Genetic Algorithms for Composite Laminate Design and Optimization,Master's thesis, Department of Mechanical Engineering, Virginia Polytechnic Institute, Blacksburgh, Virginia, February 5 1997.

  1818. S. Sorooshian, L. A. Bastidas, and H. V. Gupta. Application of Multi-Objective Optimization Algorithms for Hydrologic Model Identification and Parameterization. In Proceedings of Second International Conference on Multiple Objective Decision Support Systems for Land, Water, and Environmental Management, Brisbane, Australia, August 1999.

  1819. C.O.S. Sorzano, R. Marabini, G.T. Herman and J.M. Carazo. Multiobjective algorithm parameter optimization using multivariate statistics in three-dimensional electron microscopy reconstruction, Pattern Recognition, Vol. 38, No. 12, pp. 2587--2601, December 2005 .

  1820. Vasilios A. Spais and Loukas P. Petrou. Multiobjective Motion Planning for a Nonholonomic Vehicle, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 2058--2065, IEEE Press, Canberra, Australia, December 2003 .

  1821. Christian Spieth, Felix Streichert, Nora Speer and Andreas Zell. Multi-objective Model Optimization for Inferring Gene Regulatory Networks, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 607--620, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1822. T. Sreenuch, A. Tsourdos, B.A. White and E.J. Hughes. Lateral Acceleration Control Design of a Non-Linear Homing Missile using Multi-Objective Evolutionary Algorithm, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 1302--1309, IEEE Press, Canberra, Australia, December 2003 .

  1823. Jagabandhu Sridhar and Chandrasekharan Rajendran. Scheduling in Flowshop and Cellular Manufacturing Systems with Multiple Objectives - A Genetic Algorithmic Approach. Production Planning & Control, 7(4):374-382, 1996.

  1824. N. Srinivas and Kalyanmoy Deb. Multiobjective optimization using nondominated sorting in genetic algorithms. Technical report, Department of Mechanical Engineering, Indian Institute of Technology, Kanpur, India, 1993.

  1825. N. Srinivas and Kalyanmoy Deb. Multiobjective Optimization Using Nondominated Sorting in Genetic Algorithms, Evolutionary Computation, 2(3):221-248, Fall 1994.

  1826. N. Srinivas and Kalyanmoy Deb. Comparative study of vector evaluated GA and NSGA applied to multiobjective optimization. In P. K. Roy and S. D. Mehta, editors, Proceedings of the Symposium on Genetic Algorithms, pages 83-90, 1995.

  1827. D. Srinivasan and A. Tettamanzi. Heuristics-guided evolutionary approach to multiobjective generation scheduling, IEE Proceedings on Generation, Transmission and Distribution, Vol. 143, No. 6, pp. 553--559, 1996.

  1828. Dipti Srinivasan and Tian Hou Seow. Particle Swarm Inspired Evolutionary Algorithm (PS-EA) for Multiobjective Optimization Problem, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2292--2297, IEEE Press, Canberra, Australia, December 2003 .

  1829. Dipti Srinivasan and Tian Hou Seow. Particle Swarm Inspired Evolutionary Algorithm (PS-EA) for Multi-Criteria Optimization Problems, in Ajith Abraham, Lakhmi Jain and Robert Goldberg (editors), Evolutionary Multiobjective Optimization. Theoretical Advances and Applications, pp. 147--165, Springer, USA, 2005 .

  1830. Peter F. Stadler and Christoph Flamm. Barrier Trees on Poset-Valued Landscapes, Genetic Programming and Evolvable Machines, Vol. 4, No. 1, pp. 7--20, March 2003 .

  1831. M. Stan and B. Reardon. A Bayesian approach to evaluating the uncertainty of thermodynamic data and phase diagrams, Calphad--Computer Coupling of Phase Diagrams and Thermochemistry, pp. 319--323, Vol. 27, No. 3, September 2003 .

  1832. Paul M. Stanfield, Russell E. King, and Thom J. Hodgson. Multi-objective stochastic scheduling of job ready times. Annals of Operations Research, 70:221-239, 1997.

  1833. Timothy J. Stanley and Trevor Mudge. A Parallel Genetic Algorithm for Multiobjective Microprocessor Design, In Larry J. Eshelman, editor, Proceedings of the Sixth International Conference on Genetic Algorithms, pages 597-604, San Mateo, California, July 1995. University of Pittsburgh, Morgan Kaufmann Publishers.

  1834. G.E. Stravroulakis and H. Antes. Flaw identification in elastomechanics: BEM simulation with local and genetic optimization, Structural Optimization, 16(2/3):162-175, 1998.

  1835. Daniel Stevens, Sanjoy Das and Bala Natarajan. A Multi-objective Algorithm for DS-CDMA Code Design Based on the Clonal Selection Principle, in Hans-Georg Beyer et al. (editors), Genetic and Evolutionary Computation Conference (GECCO'2005), Vol. 2, pp. 2015--2020, ACM Press, ISBN 1-59593-010-8, Washington DC, USA, June 2005 .

  1836. Theodor J. Stewart, Ron Janssen and Marjan van Herwijnen. A genetic algorithm approach to multiobjective land use planning, Computers & Operations Research, Vol. 31, pp. 2293--2313, 2004.

  1837. R. Stirrup, D. Loebis, A.J. Chipperfield, K.S. Tang, S. Kwong and K.F. Man. Gain-Scheduled Control of a Solar Power Plant Using a Hierarchical MOGA-Tuned Fuzzy PI-Controller, in IEEE International Symposium on Industrial Electronics, Vol. 1, pp. 25--29, Pusan, Korea, 2001.

  1838. Matthew Streeter and Lee A. Becker. Automated Discovery of Numerical Approximation Formulae via Genetic Programming, Genetic Programming and Evolvable Machines, Vol. 4, No. 3, pp. 255--286, September 2003 .

  1839. Felix Streichert, Gunnar Stein, Holger Ulmer and Andreas Zell. A Clustering Based Niching Method for Evolutionary Algorithms, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 644--645, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003 .

  1840. Felix Streichert, Holger Ulmer and Andreas Zell. Comparing Discrete and Continuous Genotypes on the Constrained Portfolio Selection Problem, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part II, Springer-Verlag, Lecture Notes in Computer Science Vol. 3103, pp. 1239--1250, Seattle, Washington, USA, June 2004 .

  1841. Felix Streichert, Holger Ulmer and Andreas Zell. Evaluating a Hybrid Encoding and Three Crossover Operators on the Constrained Portfolio Selection Problem, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 932--939, Portland, Oregon, USA, June 2004 .

  1842. Felix Streichert, Holger Ulmer and Andreas Zell. Parallelization of Multi-objective Evolutionary Algorithms Using Clustering Algorithms, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 92--107, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1843. Nasri Sulaiman and Tughrul Arslan. A Multi-objective Genetic Algorithm for On-chip Real-time Optimisation of Word Length and Power Consumption in a Pipelined FFT Processor targeting a MC-CDMA Receiver, in Jason Lohn, David Gwaltney, Gregory Hornby, Ricardo Zebulum, Didier Keymeulen and Adrian Stoica (editors), 2005 NASA/DoD Conference on Evolvable Hardware, pp. 154--159, IEEE Computer Society Press, Los Alamitos, California, July 2005 .

  1844. Balram Suman. Simulated Annealing-Based Multiobjective Algorithms and Their Application for System Reliability, Engineering Optimization, Vol. 35, No. 4, pp. 391--416, August 2003 .

  1845. Balram Suman. Study of simulated annealing based algorithms for multiobjective optimization of a constrained problem, Computers & Chemical Engineering, Vol. 28, pp. 1849--1871, 2004 .

  1846. B. Suman. Study of self-stopping PDMOSA and performance measure in multiobjective optimization, Computers & Chemical Engineering,Vol. 29, No. 5, pp. 1131--1147, April 15, 2005 .

  1847. Dazhi Sun, Rahim F. Benekohal and S. Travis Waller. Multi-objective Traffic Signal Timing Optimization Using Non-dominated Sorting Genetic Algorithm II, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 2420--2421, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003 .

  1848. R. Sundararajan, S. Azarm, P. McCluskey, and N. Palli. A Stress Model for Multiobjective Design Optimization of a Power Electronic Module. Mechanics of Structures and Machines, 27(2):163-183, 1999.

  1849. A. Suppapitnarm and K.A. Seffen and G.T. Parks and J.-S. Liu. Design by multi-objective optimisation using simulated annealing, Proceedings of the 12th International Conference in Engineering Design (ICED'99), Vol. 3, Munich, Germany, pp. 1395--1400, 1999 .

  1850. A. Suppapitnarm, K.A. Seffen, G.T. Parks and A.M. Connor. Multiobjective optimisation of bicycle frames using simulated annealing, Proceedings of the First ASMO/ISSMO Conference on Engineering Design Optimization, Vol. 1, Ilkley, West Yorkshire, pp. 357--364, 1999.

  1851. A. Suppapitnarm, K.A. Seffen, G.T. Parks andP.J. Clarkson. A simulated annealing algorithm for multiobjective optimization, Engineering Optimization, Vol. 33, No. 1, pp. 59--85, 2000 .

  1852. A. Suppapitnarm, G.T. Parks, K. Shea and P.J. Clarkson. A Multiobjective Optimisation Approach for the Conceptual Design of Frame Structures, in I.C. Parmee (editor), Adaptive Computing in Design and Manufacture V, pp. 109--120, Springer-Verlag, London, 2002 .

  1853. A. Suppapitnarm, G.T. Parks, K. Shea and P.J. Clarkson. Conceptual Design of Bicycle Frames by Multiobjective Shape Annealing, Engineering Optimization, Vol. 36, No. 2, pp. 165--188, April 2004 .

  1854. Patrick D. Surry, Nicholas J. Radcliffe, and Ian D. Boyd. A Multi-Objective Approach to Constrained Optimisation of Gas Supply Networks : The COMOGA Method, In Terence C. Fogarty, editor, Evolutionary Computing. AISB Workshop. Selected Papers, Lecture Notes in Computer Science, pages 166-180, Sheffield, U.K., 1995. Springer-Verlag.

  1855. Patrick D. Surry and Nicholas J. Radcliffe. The COMOGA Method: Constrained Optimisation by Multiobjective Genetic Algorithms. Control and Cybernetics, 26(3), pp. 391--412, 1997.

  1856. Toshihiro Suzuki, Takeshi Furukashi, Seiichi Matsushita and Hiroaki Tsutsui. Efficient Fuzzy Modeling under Multiple Criteria by Using Genetic Algorithm, in IEEE International Conference on Systems, Man, and Cybernetics, pp. 314--319, Vol. 5, IEEE, 1999.

  1857. Francis Dermot Sweeney. New Sampling Distributions for Evolutionary Algorithms, PhD thesis, Department of Aeronautics and Astronautics, Stanford University, August 2003 (abstract) .

  1858. Gilbert Syswerda and Jeff Palmucci. The Application of Genetic Algorithms to Resource Scheduling. In Richard K. Belew and Lashon B. Booke8, San Mateo, California, 1991. Morgan Kaufmann.

  1859. Ricardo Szmit and Amnon Barak. Evolution Strategies for a Parallel Multi-Objective Genetic Algorithm. In Darrell Whitley, David Goldberg, Erick Cantú-Paz, Lee Spector, Ian Parmee, and Hans-Georg Beyer, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2000), pages 227-234, San Francisco, California, 2000. Morgan Kaufmann.

    1860. T

  1860. Kanta Tachibana and Takeshi Furuhashi. A Structure Identification Method of Submodels for Hierarchical Fuzzy Modelling Using the Multiple Objective Genetic Algorithm, International Journal of Intelligent Systems, Vol. 17, No. 5, pp. 495--513, May 2002 .

  1861. T. Tagami and T. Kawabe. Genetic Algorithms using Pareto Partitioning Method for Multiobjective Optimization Problems. Transactions of The Institute of Systems, Control and Information Engineers, 11(11):600-607, 1998. (In Japanese).

  1862. T. Tagami and T. Kawabe. Genetic Algorithm with a Pareto Partitioning Method for Multi-objective Flowshop Scheduling. In Proceedings of the 1998 International Symposium of Nonlinear Theory and its Applications (NOLTA'98), pages 1069-1072, Crans-Montana, 1998.

  1863. T. Tagami and T. Kawabe. Genetic Algorithm based on a Pareto Neighborhood Search for Multiobjective Optimization. In Proceedings of the 1999 International Symposium of Nonlinear Theory and its Applications (NOLTA'99), pages 331-334, Hawaii, 1999.

  1864. Kiyoharu Tagawa, Noboru Wakabayashi, Kenji Kanesige and Hiromasa Haneda. A New Genetic Algorithm based on Anti-Darwinism for Multi-Objective Part-Tool Grouping Problem, Proceedings of the 2000 IEEE International Symposium on Industrial Electronics (ISIE'2000), Vol. 2, pp. 782--787, IEEE, 2000.

  1865. Kiyoharu Tagawa, Noboru Wakabayashi, Hiromasa Haneda and Katsumi Inoue. An Imanishism-Based Genetic Algorithm for Sampling Various Pareto-Optimal Solutions: An Application to the Multiobjective Resource Division Problem, Electrical Engineering in Japan, Vol. 139, No. 2, pp. 23--35, April 2002 .

  1866. Tai Kang, G.Y. Cui, and Tapabrata Ray. Design Synthesis of Path Generating Compliant Mechanisms by Evolutionary Optimization of Topology and Shape. In ASME DETC 2000 Design Automation Conference, Baltimore, Maryland, 2000

  1867. Y. Takada, M. Yamamura, and S. Kobayashi. An Approach to Portfolio Selection Problems Using Multi-Objective Genetic Algorithms. In Proceedings of the 23rd Symposium on Intelligent Systems, pages 103-108, 1996.

  1868. S. Takahashi, S. Obayashi, and K. Nakahashi. Transonic Shock-Free Wing Design with Multiobjective Genetic Algorithms. In Proceedings of the International Conference on Fluid Engineering, volume 1, pages 425-429, Tokyo, Japan, July 1997.

  1869. S. Takahashi, S. Obayashi, and K. Nakahashi. Inverse Optimization of Transonic Wing Shape for Mid-Size Regional Aircraft, AIAA Paper 98-0601, January 1998.

  1870. Ricardo H.C. Takahashi, Reinaldo M. Palhares, Daniel A. Cutra and Leila P.S. Gonçalves. Synthesis and characterization of Pareto-optimal solutions for the mixed $H_2/H_\infty$ control problem, in Proceedings of the 40th IEEE International Conference on Decision and Control, Vol. 4, IEEE, pp. 3997--4002, 2001.

  1871. R.H.C. Takahashi, R.M. Palhares, D.A. Dutra and L.P.S. Goncalves. Estimation of Pareto sets in the mixed H-2/H-infinity control problem, International Journal of Systems Science, pp. 55--67, Vol. 35, No. 1, January 2004 .

  1872. El-Ghazali Talbi, Malek Rahoual, Mohamed Hakim Mabed, and Clarisse Dhaenens. A Hybrid Evolutionary Approach for Multicriteria Optimization Problems: Application to the Flow Shop. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 416-428. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 .

  1873. Hisashi Tamaki, M. Mori, M. Araki, Y. Mishima, and H. Ogai. Multi-Criteria Optimization by Genetic Algorithms : A Case of Scheduling in Hot Rolling Process. In Proceedings of the 3rd Conference of the Association of Asian-Pacific Operational Research Societies within IFORS (APORS'94), pages 374-381. World Scientific, 1995.

  1874. Hisashi Tamaki, M. Mori, and M. Araki. Generation of a Set of Pareto-Optimal Solutions by Genetic Algorithms. Transactions of the Society of Instrument and Control Engineers, 31(8):1185-1192, 1995.

  1875. Hisashi Tamaki, Hajime Kita, and Shigenobu Kobayashi. Multi-Objective Optimization by Genetic Algorithms : A Review, In Toshio Fukuda and Takeshi Furuhashi, editors, Proceedings of the 1996 International Conference on Evolutionary Computation (ICEC'96), pages 517-522, Nagoya, Japan, 1996. IEEE.

  1876. Hisashi Tamaki, T. Mukai, K. Kawakami, and M. Araki. Genetic Algorithm Approach to Multi-Objective Scheduling Problems with Regular and Non-Regular Objective Functions. In Toshio Fukuda and Takeshi Furuhashi, editors, Proceedings of the International Conferences on Advances in Production Management Systems (APMS'96), pages 553-556, 1996.

  1877. Hisashi Tamaki and Etsuo Nishino. A Genetic Algorithm Approach to Multi-Objective Scheduling Problems with Regular and Non-Regular Objective Functions. In Proceedings of the 8th IFAC/IFORS/IMACS/IFIP Symposium on Large Scale Systems : Theory and Applications (LSS'98), pages 289-294, 1998.

  1878. Hisashi Tamaki, Etsuo Nishino, and Shigeo Abe. A Genetic Algorithm Approach to Multi-Objective Scheduling Problems with Earliness and Tardiness Penalties, In 1999 Congress on Evolutionary Computation, pages 46-52, Washington, D.C., July 1999. IEEE Service Center.

  1879. Hiroyuki Tamura, Tomohiro Shibata, Shinji Tomiyama and Itsuo Hatono. A Meta-Heuristic Satisfacing Tradeoff Method for Solving Multiobjective Combinatorial Optimization Problems--With Application to Flowshop Scheduling--, in 1999 IEEE International Conference on Systems, Man, and Cybernetics, Vol. 3, pp. 539--544, IEEE, 1999.

  1880. Kay Chen Tan and Yun Li. Multi-objective genetic algorithm based time and frequency domain design unification of linear control systems. In IFAC International Symposium on Artificial Intelligence and Real-Time Control, pages 61-66, Kuala Lumpa, Malaysia, September 1997.

  1881. K. C. Tan, T. H. Lee, and E. F. Khor. Evolutionary Algorithms with Goal and Priority Information for Multi-Objective Optimization. In 1999 Congress on Evolutionary Computation, pages 106-113, Washington, D.C., July 1999. IEEE Service Center.

  1882. K. C. Tan, T. H. Lee, and E. F. Khor. Control system design automation with robust tracking thumbprint performance using a multi-objective evolutionary algorithm, In IEEE Int. Conf. Control Appl. and Sys. Design, pages 498-503, Hawaii, 1999.

  1883. K. C. Tan, T. H. Lee, D. Khoo, and E. F. Khor. MOEA Toolbox for Computer-Aided Multi-Objective Optimization. In 2000 Congress on Evolutionary Computation, volume 1, pages 38-45, Piscataway, New Jersey, July 2000. IEEE Service Center.

  1884. K. C. Tan, T. H. Lee, E. F. Khor, and R. Sathikannan. Incremented multi-objective evolutionary design automation of robust tracking thumbprint performances in QFT. In Proceedings of the International Conference on Evolutionary Computation for Computer, Communication, Control and Power, pages 137-142, Chennai, India, 2000.

  1885. K. C. Tan, T. H. Lee, E. F. Khor, and K. Ou. Control system design unification and automation using an incremented multi-objective evolutionary algorithm. In Proceedings of the 19th IASTED International Conference on Modeling, Identification and Control, Innsbruck, Austria, 2000.

  1886. K.C. Tan, T.H. Lee and E.F. Khor. Automatic Design of Multivariable QFT Control System via Evolutionary Computation, in Stefano Cagnoni et al. (eds.), Proceedings of Real World Applications of Evolutionary Computing. EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoRob, and EvoFlight, pp. 178--194, Springer. Lecture Notes in Computer Science Vol. 1803, Edinburgh, Scotland, April 2000.

  1887. K.C. Tan, T.H. Lee, and E.F. Khor. Incrementing Multi-Objective Evolutionary Algorithms: Performance Studies and Comparisons. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 111-125. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 .

  1888. K.C. Tan, T.H. Lee, and E.F. Khor. Evolutionary Algorithms for Multi-Objective Optimiztion: Performance Assessments and Comparisons, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 2, IEEE Service Center, Piscataway, New Jersey, pp. 979--986, May 2001 .

  1889. K.C. Tan, E.F. Khor, C.M. Heng and T.H. Lee.Exploratory Multi-Objective Evolutionary Algorithm: Performance Study and Comparisons, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 647--654, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

  1890. K.C. Tan, T.H. Lee, and E.F. Khor, Evolutionary Algorithms with Dynamic Population Size and Local Exploration for Multiobjective Optimization, IEEE Transactions on Evolutionary Computation, Vol. 5, No. 6, pp. 565--588, December 2001 .

  1891. K.C. Tan, Tong H. Lee, D. Khoo, and E.F. Khor, A Multiobjective Evolutionary Algorithm Toolbox for Computer-Aided Multiobjective Optimization, IEEE Transactions on Systems, Man, and Cybernetics---Part B: Cybernetics, Vol. 31, No. 4, pp. 537--556, August 2001 .

  1892. K.C. Tan, T.H. Lee and E.F. Khor. Automatic design of multi-variable quantitative feedback theory control systems via evolutionary computation,Proceedings of the Institution of Mechanical Engineers Part I---Journal of Systems and Control Engineering, Vol. 215, No. I3, pp. 245--259, 2001.

  1893. K.C. Tan, K. Sengupta, T.H. Lee and R. Sathikannan. Autonomous Registration of Disparate Spatial Data via an Evolutionary Algorithm Toolbox, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 31--36, IEEE Service Center, Piscataway, New Jersey, May 2002.

  1894. K.C. Tan, T.H. Lee and E.F. Khor. Evolutionary Algorithms for Multi-Objective Optimization: Performance Assessments and Comparisons, Artificial Intelligence Review, Vol. 17, No. 4, pp. 253--290, June 2002.

  1895. K.C. Tan, E.F. Khor, T.H. Lee and Y.J. Yang. A tabu-based exploratory evolutionary algorithm for multiobjective optimization, Artificial Intelligence Review, Vol. 19, No. 3, pp. 231--260, May 2003 .

  1896. K.C. Tan, E.F. Khor, T.H. Lee and R. Sathikannan. An evolutionary algorithm with advanced goal and priority specification for multi-objective optimization, Journal of Artificial Intelligence Research, Vol. 18, pp. 183--215, 2003 .

  1897. K.C. Tan, T.H. Lee, Y.H. Chew and L.H. Lee. A Hybrid Multiobjective Evolutionary Algorithm For Solving Truck and Trailer Vehicle Routing Problems, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 3, pp. 2134--2141, IEEE Press, Canberra, Australia, December 2003 .

  1898. K.C. Tan, Y.J. Yang and T.H. Lee. A Distributed Cooperative Coevolutionary Algorithm for Multiobjective Optimization, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2513--2520, IEEE Press, Canberra, Australia, December 2003 .

  1899. K.C. Tan, Y.J. Yang, C.K. Goh and T.H. Lee. Enhanced Distribution and Exploration for Multiobjective Evolutionary Algorithms, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2521--2528, IEEE Press, Canberra, Australia, December 2003 .

  1900. K.C. Tan, Y.H. Chew, T.H. Lee and Y.J. Yang. A Cooperative Coevolutionary Algorithm for Multiobjective Optimization, in Proceedings of the 2003 IEEE International Conference on Systems, Man and Cybernetics, Vol. 1, pp. 390--395, IEEE Press, 2003.

  1901. K.C. Tan and Y. Li. Automating Control System Design via a Multiobjective Evolutionary Algorithm, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 155--175, World Scientific, Singapore, 2004.

  1902. K.C. Tan, E.F. Khor and T.H. Lee. Multiobjective Evolutionary Algorithms and Applications, Springer-Verlag, London, 2005, ISBN 1-85233-836-9 .

  1903. Masahiro Tanaka and Tetsuzo Tanino. Global optimization by the genetic algorithm in a multiobjective decision support system. In Proceedings of the 10th International Conference on Multiple Criteria Decision Making, volume 2, pages 261-270, 1992.

  1904. Masahiro Tanaka, Hikaru Watanabe, Yasuyuki Furukawa, and Tetsuzo Tanino. GA-Based Decision Support System for Multicriteria Optimization, In Proceedings of the International Conference on Systems, Man, and Cybernetics, volume 2, pages 1556-1561, Piscataway, NJ, 1995. IEEE.

  1905. K. S. Tang, K. F. Man, and D. W. Gu. Structured Genetic Algorithm for Robust $h^infty$ Control Systems Design. IEEE Transactions on Industrial Electronics, 43(5):575-582, October 1996.

  1906. K. S. Tang, K. F. Man, and K. T. Ko. Wireless LAN Design using Hierarchical Genetic Algorithm. In Thomas Bäck, editor, Proceedings of the Seventh International Conference on Genetic Algorithms, pages 629-635, San Mateo, California, July 1997. Michigan State University, Morgan Kaufmann Publishers.

  1907. K.S. Tang, K.F. Man and G. Chen. Solar Plant Control using Genetic Fuzzy PID Controller, in 26th Annual Conference of the IEEE Indutrial Electronics Society, Vol. 3, pp. 1686--1691, IEEE, 2000.

  1908. Kit-Sang Tang, Kim-Fung Man and S. Kwong. Wireless Communication Network Design in IC Factory, IEEE Transactions on Industrial Electronics, Vol. 48, No. 2, pp. 452--459, April 2001.

  1909. K.S. Tang, Kim-Fung Man, Guanrong Chen, and Sam Kwong. An Optimal Fuzzy PID Controller, IEEE Transactions on Industrial Electronics, Vol. 48, No. 4, pp. 757--765, August 2001.

  1910. Kit-Sang Tang, King-Tim Ko and Erick W.M. Wong. Optimal File Placement in VOD System Using Genetic Algorithm, IEEE Transactions on Industrial Electronics, Vol. 48, No. 5, pp. 891--897, October 2001.

  1911. Tetsuzo Tanino, Masahiro Tanaka, and Chihirp Hojo. An interactive multicriteria decision making method by using a genetic algorithm. In Proceedings of 2nd International Conference on Systems Science and Systens Engineering, pages 381-386, 1993.

  1912. M. Tava and S. Suzuki. Optimal re-entry trajectory design by interactive multiobjective optimization with parallel programming, in L.A. D'Amario, L.L. Sackett, D.J. Scheeres and B.G. Williams (editors), Proceedings of the the AAS/AIAA 11th Spaceflight Mechanics Meeting, Vol. 108, Parts 1 and 2, pp. 1963--1975, 2001.

  1913. Manoj Tayal. Particle Swarm Optimization for Mechanical Design, Masters thesis, The University of Texas at Arlington, Arlington, Texas, USA, December 2003 (abstract) .

  1914. J. Teghem. Multiobjective Combinatorial Optimization, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.

  1915. Jürgen Teich. Pareto-Front Exploration with Uncertain Objectives. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 314-328. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 .

  1916. J. Teo and H.A. Abbass. Multi-objectivity for brain-behavior evolution of a physically-embodied organism, in R. Standish, M. Bedau and H.A. Abbass, editors, Artificial Life VIII: The 8th International Conference on Artificial Life, pp. 312--318, Cambridge, MA, MIT Press, 2002.

  1917. J. Teo and H.A. Abbass. Trading-off mind complexity and locomotion in a physically simulated quadruped, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 776--780, Vol. 2, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  1918. J. Teo and H.A. Abbass. Coordination and synchronization of locomotion in a virtual robot, in L. Wang, J. Rajapakse, K. Fukushima, S. Lee and X. Yao, editors, Proceedings of the 9th International Conference on Neural Information Processing (ICONIP'02), Volume 4, pp. 1931--1935, 2002.

  1919. Jason Teo, Minh Ha Nguyen and Hussein A. Abbass. Multi-objectivity as a Tool for Constructing Hierarchical Complexity, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part I, pp. 483--494, Springer. Lecture Notes in Computer Science Vol. 2723, July 2003 .

  1920. Jason Teo and Hussein A. Abbass. Is a Self-Adaptive Pareto Approach Beneficial for Controlling Embodied Virtual Robots, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 1612--1613, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003 .

  1921. Jason Teo and Hussein A. Abbass. Elucidating the Benefits of A Self-Adaptive Pareto EMO Approach for Evolving Legged Locomotion in Artificial Creatures, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 755--762, IEEE Press, Canberra, Australia, December 2003 .

  1922. Jason T.W. Teo. Pareto Multi-Objective Evolution of Legged Embodied Organisms, PhD thesis, School of Computer Science, University of New South Wales, Australia, 2003 (abstract) .

  1923. Jason Teo and Hussein A. Abbass. Automatic Generation of Controllers for Embodied Legged Organisms: A Pareto Evolutionary Multi-Objective Approach, Evolutionary Computation, Vol. 12, No. 3, pp. 355--394, Fall 2004 .

  1924. Jason Teo and Hussein A. Abbass. Multiobjectivity and Complexity in Embodied Cognition, IEEE Transactions on Evolutionary Computation, Vol. 9, No. 4, pp. 337--360, August 2005 .

  1925. Dirk Thierens and Peter A.N. Bosman. Multi-Objective Optimization with Iterated Density Estimation Evolutionary Algorithms using Mixture Models. In Proceedings of the Third International Symposium on Adaptive Systems--Evolutionary Computation and Probabilistic Graphical Models, Institute of Cybernetics, Mathematics and Physics, pages 129-136, Havana, Cuba, March 19-23 2001.

  1926. Dirk Thierens and Peter A.N. Bosman.Multi-Objective Mixture-based Iterated Density Estimation Evolutionary Algorithms, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 663--670, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

  1927. Dirk Thierens. Convergence Time Analysis for the Multi-objective Counting Ones Problem, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 355--364, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1928. Mark W. Thomas. A Pareto Frontier for Full Stern Submarines via Genetic Algorithm, (Available online), abstract, PhD thesis, Ocean Engineering Department, Massachusetts Institute of Technology, Cambridge, MA, june 1998.

  1929. H. A. Thompson, P. J. Fleming, and A. J. Chipperfield. Multi-Objective Optimisation of Systems Architectures for Distributed Aero-Engine Control Systems. In The 43rd ASME Gas Turbine and Aeroengine Technical Congress, volume 98-GT-045, Stockolm, Sweden, June 1998. ASME Press.

  1930. H.A. Thompson, A.J. Chipperfield, P.J. Fleming and C. Legge. Distributed aero-engine control systems architecture selection using multi-objective optimisation, Control Engineering Practice, Vol. 7, No. 5, pp. 655--664, 1999.

  1931. Robert Thomson and Tughrul Arslan. An Evolutionary Algorithm for the Multi-Objective Optimisation of VLSI Primitive Operator Filters, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 37--42, IEEE Service Center, Piscataway, New Jersey, May 2002

  1932. Robert Thomson and Tughrul Arslan. The Evolutionary Design and Synthesis of Non-Linear Digital VLSI Systems, in Jason Lohn, Ricardo Zebulum, James Steincamp, Didier Keymeulen, Adrian Stoica and Michael I. Ferguson (editors), Proceedings of the 2003 NASA/DoD Conference on Evolvable Hardware, pp. 125--134, IEEE Computer Society Press, Los Alamitos, California, July 2003 .

  1933. Robert Thomson and Tughrul Arslan. On the Impact of Modelling, Robustness, and Diversity to the Performance of a Multi-Objective Evolutionary Algorithm for Digital VLSI System Design, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 1, pp. 382--389, IEEE Press, Canberra, Australia, December 2003 .

  1934. F. L. Tito, G. N. Taranto, and D. M. Falcão. Integrated Tuning of Generator Excitation Systems by a Multiobjective Genetic Algorithm. In Proceedings of the International Conference on Intelligent System Application to Power Systems (ISAP), Rio de Janeiro, Brazil, April 1999.

  1935. M.K. Tiwari, S.K. Tiwari, D. Roy, N.K. Vidyarthi and S. Kamushwaran. A Genetic Algorithm Based Approach to Solve Process Plan Selection Problems, in Proceedings of the Second International Conference on Intelligent Processing and Manufacturing of Materials, Vol. 1, pp. 281--284, 1999.

  1936. Ahsutosh Tiwari, Rajkumar Roy, Graham Jared and Olivier Munaux. Challenges in Real-Life Engineering Design Optimization: An Analysis, 2001 Genetic and Evolutionary Computation Conference. Workshop Program, San Francisco, California, pp. 289--294, July 2001 .

  1937. Ahsutosh Tiwari, Rajkumar Roy, Graham Jared and Olivier Munaux. Interaction and Multi-objective Optimisation, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 671--678, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

  1938. Ahsutosh Tiwari and Rajkumar Roy. Variable Response Interaction and Multi-objective Optimisation, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 602--609, Morgan Kaufmann Publishers, San Francisco, California, July 2002.

  1939. Ahsutosh Tiwari and Rajkumar Roy. Application of Generalised Regression GA for Designing a Turbine Blade Cooling System, in Alwyn Barry (editor), 2002 Genetic and Evolutionary Computation Conference. Workshop Program, pp. 108--113, New York, July 2002.

  1940. Vincent T'kindt, Nicolas Monmarché, Fabrice Tercinet and Daniel Laügt. An Ant Colony Optimization algorithm to solve a 2-machine bicriteria flowshop scheduling problem, European Journal of Operational Research, Vol. 142, No. 2, pp. 250--257, October 2002.

  1941. Vincent T'kindt and Jean-Charles Billaut. Multicriteria Scheduling. Theory, Models and Algorithms, Springer, Berlin, ISBN 3-540-43617-0, 2002.

  1942. David S. Todd and Pratyush Sen. A Multiple Criteria Genetic Algorithm for Containership Loading, In Thomas Bäck, editor, Proceedings of the Seventh International Conference on Genetic Algorithms, pages 674-681, San Mateo, California, July 1997. Michigan State University, Morgan Kaufmann Publishers.

  1943. David S. Todd and Pratyush Sen. Multiple Criteria Scheduling using Genetic Algorithms in a Shipyard Environment, In Proceedings of the 9th International Conference on Computer Applications in Shipbuilding, Yokohama, Japan, October 1997.

  1944. David S. Todd. Multiple Criteria Genetic Algorithms in Engineering Design and Operation. PhD thesis, University of Newcastle, Newcastle-upon-Tyne, UK, October 1997 (abstract).

  1945. David S. Todd and Pratyush Sen. Tackling Complex Job Shop Problems Using Operation Based Scheduling, In Ian Parmee, editor, The Integration of Evolutionary and Adaptive Computing Technologies with Product/System Design and Realisation, pages 45-58, Plymouth, United Kingdom, April 1998. Plymouth Engineering Design Centre, Springer-Verlag.

  1946. David S. Todd and Pratyush Sen. Distributed Task Scheduling and Allocation Using Genetic Algorithms, In 24th International Conference on Computers and Industrial Engineering, Brunel University, UK, September 1998.

  1947. David S. Todd, J. Scott, and Pratyush Sen. A Genetic Algorithm Based Approach to Systems Scheduling, In IFAC Symposium on Large Scale Systems, Patras, Greece, July 1998.

  1948. David S. Todd, J. Scott, and Pratyush Sen. Genetic Algorithms Applied to Ship Design and Manufacturing Processes. In PRADS 98, The Hague, September 1998.

  1949. David S. Todd and Pratyush Sen. Directed Multiple Objective Search of Design Spaces Using Genetic Algorithms and Neural Networks, In W. Banzhaf, J. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela, and R. E. Smith, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'99), volume 2, pages 1738-1743, San Francisco, California, July 1999. Morgan Kaufmann.

  1950. Andrea Toffolo and Ernesto Benini. A New Pareto-like Evaluation Method for Finding Multiple Global Optima in Evolutionary Algorithms. In Late Breaking Papers at the 2000 Genetic and Evolutionary Computation Conference, pages 405-410, Las Vegas, Nevada, July 2000.

  1951. A. Toffolo and A. Lazzaretto. Evolutionary algorithms for multi-objective energetic and economic optimization in thermal system design, Energy, Vol. 27, No. 6, pp. 549--567, June 2002.

  1952. Andrea Toffolo and Ernesto Benini. Genetic Diversity as an Objective in Multi-Objective Evolutionary Algorithms, Evolutionary Computation, Vol. 11, No. 2, pp. 151--167, Summer 2003 .

  1953. Jari Toivanen, Jari P. Hämäläinen, Kaisa Miettinen and Pasi Tarvainen. Designing Paper Machine Headbox using GA, Materials and Manufacturing Processes, Vol. 18, No. 3, pp. 533--541, 2003.

  1954. Siu Tong and David J. Powell. Genetic Algorithms: A Fundamental Component of an Optimization Toolkit for Improved Engineering Designs, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 2347--2359, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003 .

  1955. Francisco de Toro, Julio Ortega, Javier Fernández and A. Díaz. PSFGA: A Parallel Genetic Algorithm for Multiobjective Optimization, in F. Vajda and N. Podhorszki (Editors), 10th Euromicro Workshop on Parallel, Distributed and Network-Based Processing, pp. 384--391, IEEE, 2002 .

  1956. Francisco de Toro, Eduardo Ros, Sonia Mota and Julio Ortega. Multi-Objective Optimization Evolutionary Algorithms Applied to Paroxysmal Atrial Fibrillation Diagnosis Based on the k-Nearest Neighbours Classifier, in F.J. Garijo, J.C.R. Santos and M. Toro (eds.), Advances in Artificial Intelligence--IBERAMIA 2002 Proceedings, pp. 313--318, Springer. Lecture Notes in Artificial Intelligence Vol. 2527, 2002.

  1957. Francisco de Toro, Eduardo Ros, Sonia Mota and Julio Ortega. Non-invasive Atrial Disease Diagnosis Using Decision Rules: A Multi-objective Optimization Approach, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 638--647, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1958. F. de Toro, J. Ortega and B. Paechter. Parallel Single Front Genetic Algorithm: Performance Analysis in a cluster system, in Proceedings of the International Parallel and Distributed Processing Symposium (IPDPS'03), IEEE Computer Society, April 2003.

  1959. Gregorio Toscano Pulido. Optimización Multiobjetivo Usando un Micro Algoritmo Genético, Master's Thesis, Maestría en Inteligencia Artificial, Universidad Veracruzana, Xalapa, Veracruz, México, September 2001 (In Spanish).

  1960. Gregorio Toscano Pulido and Carlos A. Coello Coello. The Micro Genetic Algorithm 2: Towards Online Adaptation in Evolutionary Multiobjective Optimization, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 252--266, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  1961. Gregorio Toscano-Pulido and Carlos A. Coello Coello. Using Clustering Techniques to Improve the Performance of a Multi-Objective Particle Swarm Optimizer, in Kalyanmoy Deb et al. (editors), Genetic and Evolutionary Computation--GECCO 2004. Proceedings of the Genetic and Evolutionary Computation Conference. Part I, Springer-Verlag, Lecture Notes in Computer Science Vol. 3102, pp. 225--237, Seattle, Washington, USA, June 2004 .

  1962. Gregorio Toscano Pulido. On the Use of Self-Adaptation and Elitism for Multiobjective Particle Swarm Optimization, PhD thesis, Computer Science Section, Department of Electrical Engineering, CINVESTAV-IPN, September 2005 (abstract) .

  1963. V. G. Toshinsky, H. Sekimoto, and G. I. Toshinsky. A method to improve multiobjective genetic algorithm optimization of a self-fuel-providing LMFBR by niche induction among nondominated solutions. Annals of Nuclear Energy, 27(5):397-410, March 2000 .

  1964. A. Trebi-Ollennu and B. A. White. Multiobjective Fuzzy Genetic Algorithm Optimisation Approach to Nonlinear Control System Design, In UKACC International Conference on Control, pages 460--466, Vol. 1, September 1996.

  1965. A. Trebi-Ollennu and B. A. White. Multiobjective Fuzzy Genetic Algorithm Optimization Approach to Nonlinear Control System Design, IEE Proceedings on Control Theory and Applications, 144(2):137-142, March 1997.

  1966. M. Trefter, J. Langeheine, K. Meier and J. Schemmel. Operational amplifiers: An example for multi-objective optimization on an analog evolvable hardware platform, in Evolvable Systems: From Biology to Hardware, Springer, pp. 86--97, Lecture Notes in Computer Science Vol. 3637, 2005 .

  1967. Effie Tsoi, Kit Po Wong, and Chun Che Fung. Hybrid GA/SA Algorithms for Evaluating Trade-off Between Economic Cost and Environmental Impact in Generation Dispatch. In David B. Fogel, editor, Proceedings of teh Second IEEE Conference on Evolutionary Computation (ICEC'95), pages 132-137, Piscataway, New Jersey, 1995. IEEE Press.

  1968. Bekir S. Türkmen and Osman Turan. An Application Study of Multi-Agent Systems in Multi-Criteria Ship Design Optimisation, in Proceedings of the Third International EuroConference on Computer and IT Applications in the Maritime Industries (COMPIT'04), pp. 340--354, Siguenza, Madrid, 2004 .

  1969. D. Tuyttens, J. Teghem, Ph. Fortemps, and K. Van Nieuwenhuyze. Performance of the MOSA Method for the Bicriteria Assignment Problem. Journal of Heuristics, 6(3):295-310, August 2000.

  1970. Daniel Tuyttens, Jacques Teghem and Nasser El-Sherbeny. A Particular Multiobjective Vehicle Routing Problem Solved by Simulated Annealing, in Xavier Gandibleux, Marc Sevaux, Kenneth Sörensen and Vincent T'kindt (editors), Metaheuristics for Multiobjective Optimisation, pp. 133--152, Springer. Lecture Notes in Economics and Mathematical Systems Vol. 535, Berlin, 2004 .

  1971. Tapio Tyni and Jari Ylinen. Evolutionary Bi-objective Controlled Elevator Group Regulates Passenger Service Level and Minimises Energy Consumption, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 822--831, Birmingham, UK, September 2004 .

  1972. Tapio Tyni and Jari Ylinen. Evolutionary bi-objective optimisation in the elevator car routing problem, European Journal of Operational Research, Vol. 169, No. 3, pp. 960--977, March 16, 2006 .

  1973. Gwo.Hshiung Tzeng and Jen-Swei Kuo. Fuzzy Multiobjective Double Samplig Plans with Genetic Algorithms Based on Bayesian Model. In Weiling Chiang and Jonathan Lee, editors, Proceedings of the International Joint Conference of CFSA/IFIS/SOFT95 on Fuzzy Theory and Applications, pages 59-64, Singapore, 1995. World Scientific.

    1974. U

  1974. Steve Uhlig. Implications of Traffic Characteristics on Interdomain Traffic Engineering, PhD thesis, Département d'Ingénierie Informatique de l'Université Catholique de Louvain, Belgium, March 2004 .

  1975. Steve Uhlig and Olivier Bonaventure. Designing BGP-based outbound traffic engineering techniques for stub ASes, Computer Communications Review, Vol. 34, No. 5, pp. 89--106, October 2004.

  1976. E.L. Ulungu. Optimisation Combinatoire multicritère: Détermination de l'ensemble des solutions efficaces et méthodes interactives, PhD Thesis, Université de Mons-Hainaut, Faculté des Sciences, Mons, Belgique, 1993.

  1977. E.L. Ulungu, J. Teghem, and Ph. Fortemps. Heuristics for multi-objective combinatorial optimization by simulated annealing. In J. Gu, G. Chen, Q. Wei, and S. Wang, editors, Multiple Criteria Decision Making: Theory and Applications. Proceedings of the 6th National Conference on Multiple Criteria Decision Making, pages 228-238, Windsor, UK, 1995. Sci-Tech.

  1978. E.L. Ulungu, J. Teghem, and Ch. Ost. Efficiency of interactive multi-objective simulated annealing through a case study. Journal of the Operational Research Society, 49:1044-1050, 1998.

  1979. E.L. Ulungu, J. Teghem, Ph. Fortemps, and D. Tuyttens. MOSA Method: A Tool for Solving Multiobjective Combinatorial Optimization Problems. Journal of Multi-Criteria Decision Analysis, 8(4):221-236, 1999.

  1980. Rasmus K. Ursem. Models for Evolutionary Algorithms and Their Applications in System Identification and Control Optimization, PhD thesis, Department of Computer Science, University of Aarhus, Denmark, April 2003 (abstract) .

    1981. V

  1981. James Vaccaro and Clark Guest. Evolutionary Bayesian Network Dynamic Planner for Game RISK, in Günther R. Raidl et al. (editors), Applications of Evolutionary Computing. Proceedings of Evoworkshops 2004: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC, Springer. Lecture Notes in Computer Science, Volume 3005, pp. 549--560, Coimbra, Portugal, April 2004 .

  1982. Jean-Philippe Vacher, Thierry Galinho, and Zoubir Mammeri. Une application des algorithmes génétiques à l'ordonnancement d'atelier. In Ed. Hermes, editor, Proceeding de la conférence MOSIM'97, pages 43-50, Mont-Saint-Aignan, Juin 1997. (in French).

  1983. Jean-Philippe Vacher, Alain Cardon, and Thierry Galinho. Genetic Algorithms on Multi-Agents Systems. In Proceedings of EUROGEN'97, Trieste, Italie, December 1997.

  1984. Jean-Philippe Vacher and Thierry Galinho. A Multi-Agent System Using Multi-Objective Genetic Algorithm: A Solution with Macrophagic Agents. In Proceedings of the International Conference on Information Systems, Analysis and Synthesis, ISAS'98, World Multiconference on Systems, Cybernetics and Informatics (SCI'98), pages 326-332, Orlando, Florida, July 1998.

  1985. Jean-Philippe Vacher, Alain Cardon, and Thierry Galinho. Heuristics Granularity in a Multi-Agents Systems (MAS): Application to the Production Management. In Proceedings of ????, page 8, Guildford, UK, March 1998.

  1986. Jean-Philippe Vacher, Alain Cardon, Franck Lesage, and Thierry Galinho. Genetic Algorithms in a Multi-Agent System, In Proceedings IEEE International Joint Symposia on Intelligence and Systems, pages 17-26, Rockville, MD, USA, May 1998.

  1987. Jean-Philippe Vacher, Alain Cardon, and Thierry Galinho. Information System for Management : Random generators for Job-Shop Scheduling Problems. In The Seventh International Conference Information Systems Development ISD'98, Bled, Slovenia, September 1998.

  1988. Jean-Philippe Vacher, Alain Cardon, and Thierry Galinho. Algorithmes Génétiques Multi-Objectif en Ordonnancement de Production de type Job-Shop. In FRANCORO II, page 58, Sousse, Tunisie, Avril 1998. (In French).

  1989. Jean-Philippe Vacher, Alain Cardon, and Thierry Galinho. Genetic Algorithm using Multi-Objective in a Multi-Agent System. In The Second International Symposium On Intelligent Manaufacturing Systems IMS'98, pages 273-282, Sakarya, Turquie, August 1998.

  1990. Jean-Philippe Vacher, Alain Cardon, and Thierry Galinho. Macrophagic Agents in Multi-agent Systems to Resolve Job-Shop Scheduling Problem. In The Hawaii International Conference on System Sciences HICSS-32, Maui, Hawaii, January 1999.

  1991. Jean-Philippe Vacher, Alain Cardon, and Thierry Galinho. Information Systems for Management in Job-Shop Scheduling Problems using a Multi-Objective Genetic Algorithm. In NIMES'98, Complex Systems, Intelligent Systems & Interfaces, pages 97-100, May 1998.

  1992. Prahlad Vadakkepat, Kay Chen Tan and Wang Ming-Liang. Evolutionary Artificial Potential Fields and Their Application in Real-Time Robot Path Planning, in Proceedings of the 2000 Congress on Evolutionary Computation, Vol. 1, pp. 256--263, IEEE, 2000.

  1993. Sergio Ivvan Valdez Peña, Salvador Botello Rionda and Arturo Hernández Aguirre. Multiobjective Shape Optimization Using Estimation Distribution Algorithms and Correlated Information, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 664--676, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  1994. Manuel Valenzuela-Rendón and Eduardo Uresti-Charre. A Non-Generational Genetic Algorithm for Multiobjective Optimization, In Thomas Bäck, editor, Proceedings of the Seventh International Conference on Genetic Algorithms, pages 658-665, San Mateo, California, July 1997. Michigan State University, Morgan Kaufmann Publishers.

  1995. Christine L. Valenzuela. A Simple Evolutionary Algorithm for Multi-Objective Optimization (SEAMO), in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 717--722, IEEE Service Center, Piscataway, New Jersey, May 2002

  1996. J.A. Vasconcelos, R.L.S. Adriano, D.A.G. Vieira, G.F.D. Souza and H.S. Azevedo. NSGA with Elitism Applied to Solve Multiobjective Optimization Problems, Journal of Microwaves and Optoelectronics, Vol. 2, No. 6, pp. 59--69, December 2002.

  1997. Ganesh Vedarajan, Louis; Chi Chan, and David E. Goldberg. Investment Portfolio Optimization using Genetic Algorithms, in John R. Koza (editor) Late Breaking Papers at the Genetic Programming 1997 Conference, pages 255-263, Stanford University, California, July 1997. Stanford Bookstore.

  1998. Tamie Lynne Veith. Agricultural BMP placement for cost-effective pollution control at the watershed level, PhD Thesis, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, April 2002 (abstract) .

  1999. David A. Van Veldhuizen and Gary B. Lamont. Multiobjective Evolutionary Algorithm Research: A History and Analysis, Technical Report TR-98-03, Department of Electrical and Computer Engineering, Graduate School of Engineering, Air Force Institute of Technology, Wright-Patterson AFB, Ohio, 1998.

  2000. David A. Van Veldhuizen and Gary B. Lamont. Evolutionary Computation and Convergence to a Pareto Front, In John R. Koza, editor, Late Breaking Papers at the Genetic Programming 1998 Conference, pages 221-228, Stanford University, California, July 1998. Stanford University Bookstore.

  2001. David A. Van Veldhuizen, Brian S. Sandlin, , Robert M. Marmelstein, and Gary B. Lamont. Finding Improved Wire-Antenna Geometries with Genetic Algorithms, In David B. Fogel, editor, Proceedings of the 1998 International Conference on Evolutionary Computation, pages 102-107, Piscataway, New Jersey, 1998. IEEE.

  2002. David A. Van Veldhuizen and Gary B. Lamont. Multiobjective Evolutionary Algorithm Test Suites, In Janice Carroll, Hisham Haddad, Dave Oppenheim, Barrett Bryant, and Gary B. Lamont, editors, Proceedings of the 1999 ACM Symposium on Applied Computing, pages 351-357, San Antonio, Texas, 1999. ACM.

  2003. David A. Van Veldhuizen. Multiobjective Evolutionary Algorithms: Classifications, Analyses, and New Innovations. PhD thesis, Department of Electrical and Computer Engineering. Graduate School of Engineering. Air Force Institute of Technology, Wright-Patterson AFB, Ohio, May 1999.

  2004. David A. Van Veldhuizen and Gary B. Lamont. MOEA Test Suite Generation, Design & Use, In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pages 113-114, Orlando, Florida, July 1999.

  2005. David A. Van Veldhuizen and Gary B. Lamont. Genetic Algorithms, Building Blocks, and Multiobjective Optimization, In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pages 125-126, Orlando, Florida, July 1999.

  2006. David A. Van Veldhuizen and Gary B. Lamont. Multiobjective Optimization with Messy Genetic Algorithms. In Proceedings of the 2000 ACM Symposium on Applied Computing, pages 470-476, Villa Olmo, Como, Italy, 2000. ACM.

  2007. David A. Van Veldhuizen and Gary B. Lamont. Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art, Evolutionary Computation, 8(2):125-147, 2000.

  2008. David A. Van Veldhuizen and Gary B. Lamont. On Measuring Multiobjective Evolutionary Algorithm Performance, In 2000 Congress on Evolutionary Computation, volume 1, pages 204-211, Piscataway, New Jersey, July 2000. IEEE Service Center.

  2009. David A. Van Veldhuizen, Jesse B. Zydallis and Gary B. Lamont. Issues in Parallelizing Multiobjective Evolutionary Algorithms for Real World Applications, in Proceedings of the 17th ACM Symposium on Applied Computing, pp. 595--602, ACM Press, Madrid, Spain, 2002 .

  2010. David A. Van Veldhuizen, Jesse B. Zydallis and Gary B. Lamont. Considerations in Engineering Parallel Multiobjective Evolutionary Algorithms, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 2, pp. 144--173, April 2003 .

  2011. V. Rao Vemuri and Walter Cedeño. A New Genetic Algorithm for Multi Objective Optimization in Water Resource Management. In Proceedings of the Second IEEE International Conference on Evolutionary Computation, pages 495-500, Piscataway, New Jersey, 1995. IEEE Press.

  2012. V. Rao Vemuri and Walter Cedeño. A New Genetic Algorithm for Multi-Objective Optimization in Water Resource Management. In 1996 Knowledge-based Computer Systems, Bombay, India, December 1996. KBIS Proceedings.

  2013. Neelakantam V. Venkatarayalu and Tapabrata Ray. Single and Multi-objective design of Yagi-Uda Antennas using Computational Intelligence, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 1237--1242, IEEE Press, Canberra, Australia, December 2003 .

  2014. V. Venugopal and T. T. Narendran. A Genetic Algorithm Approach to the Machine-Component Grouping Problem with Multiple Objectives. Computers and Industrial Engineering, 22(4):469-480, 1992.

  2015. Rodrigo Verschae, Javier Ruiz del Solar, Mario Köppen and Raul Vicente Garcia. Improvement of a Face Detection System by Evolutionary Multi-Objective Optimization, in Nadia Nedjah, Luiza M. Mourelle, Marley M.B.R. Vellasco, Ajith Abraham and Mario Köppen (editors), Fifth International Conference on Hybrid Intelligent Systems (HIS'05), pp. 361--366, IEEE Computer Society, Los Alamitos, California, USA, November 2005 .

  2016. Alessandro Vicini and Domenico Quagliarella. Multipoint transonic airfoil design by means of a multiobjective genetic algorithm. In 35th AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, January 1997. American Institute of Aeronautics and Astronautics (AIAA). AIAA Paper 97-0082.

  2017. Alessandro Vicini and Domenico Quagliarella. Inverse and Direct Airfoil Design Using a Multiobjective Genetic Algorithm. AIAA Journal, 35(9):1499-1505, September 1997.

  2018. Alessandro Vicini and Domenico Quagliarella. Airfoil and Wing Design Through Hybrid Optimization Strategies, In 16th Applied Aerodynamics Conference, Albuquerque, New Mexico, June 1998. American Institute of Aeronautics and Astronautics (AIAA). AIAA Paper 98-2729.

  2019. Y. Vidyakiran, B. Mahanty and N. Chakraborti. A genetic-algorithms-based multiobjective approach for a three-dimensional guillotine cutting problem, Materials and Manufacturing Processes, Vol. 20, No. 4, pp. 697--715, 2005 .

  2020. Douglas A.G. Vieira, Ricardo L.S. Adriano, Laurent Krähenbül and João A. Vasconcelos. Handling Constraints as Objectives in a Multiobjective Genetic Based Algorithm, Journal of Microwaves and Optoelectronics, Vol. 2, No. 6, pp. 50--58, December 2002.

  2021. Rémy Viennet, Christian Fontiex, and Ivan Marc. New Multicriteria Optimization Method Based on the Use of a Diploid Genetic Algorithm: Example of an Industrial Problem. In J. M. Alliot, E. Lutton, E. Ronald, M. Schoenauer, and D. Snyers, editors, Proceedings of Artificial Evolution (European Conference, selected papers), pages 120-127, Brest, France, September 1995. Springer-Verlag.

  2022. Rémy Viennet, Christian Fontiex, and Ivan Marc. Multicriteria Optimization Using a Genetic Algorithm for Determining a Pareto Set. International Journal of Systems Science, 27(2):255-260, 1996.

  2023. Mario Villalobos-Arias, Carlos A. Coello Coello and Onésimo Hernández-Lerma. Convergence Analysis of a Multiobjective Artificial Immune System Algorithm, in Giuseppe Nicosia, Vincenzo Cutello, Peter J. Bentley and Jon Timmis (editors), Artificial Immune Systems. Proceedings of the Third International Conference (ICARIS'2004), pp. 226--235, Springer-Verlag, Lecture Notes in Computer Science Vol. 3239, Catania, Sicily, Italy, September 2004 .

  2024. Mario Villalobos-Arias, Carlos A. Coello Coello and Onésimo Hernández-Lerma. Asymptotic Convergence of some Metaheuristics used for Multiobjetive Optimization, in A.H. Wright et al. (editors), Foundations of Genetic Algorithms (FOGA 2005), pp. 95--111, Springer-Verlag, Lecture Notes in Computer Science Vol. 3469, Aizu, Japan, 2005 .

  2025. Mario Alberto Villalobos-Arias, Gregorio Toscano Pulido and Carlos A. Coello Coello. A Proposal to Use Stripes to Maintain Diversity in a Multi-Objective Particle Swarm Optimizer, in 2005 IEEE Swarm Intelligence Symposium (SIS'05), pp. 22--29, IEEE Press, Pasadena, California, June 2005 .

  2026. Mario Alberto Villalobos Arias. Analysis of Optimization Heuristics for Multiobjective Problems, PhD thesis, Department of Mathematics, CINVESTAV-IPN, Mexico, D.F, Mexico, August 2005 (abstract) .

  2027. B. Virginas, C. Voudouris, G. Owusu and G. Anim-Ansah. ARMS Collaborator - intelligent agents using markets to organise resourcing in modern enterprises, BT Technology Journal, Vol. 21, No. 4, pp. 59--64, October 2003 .

  2028. S. Voget. Multiobjective optimization with genetic algorithm and fuzzy control. In Proceedings of the Fourth European Conference on Intelligent Techniques and Soft Computing (EUFIT'96), pages 391-394, Aachen, Germany, 1996.

  2029. Stefan Voget and Michael Kolonko. Multidimensional Optimization with a Fuzzy Genetic Algorithm. Journal of Heuristics, 4(3):221-244, September 1998.

    2030. W

  2030. Benjamin W. Wah, Arthur Ieumwananonthachai, Lon-Chan Chu and Akiko N. Aizawa. Genetics-Based Learning of New Heuristics: Rational Scheduling of Experiments and Generalization, IEEE Transactions on Knowledge and Data Engineering, Vol. 7, No. 5, pp. 763--785, October 1995.

  2031. M. Walker and R.E. Smith, A technique for the multiobjective optimisation of laminated composite structures using genetic algorithms and finite element analysis, Composite Structures, Vol. 62, No. 1, pp. 123--128, October 2003 .

  2032. David R. Wallace, Mark J. Jakiela, and W.C. Flowers. Design Search Under Probabilistic Specifications Using Genetic Algorithms. Computer-Aided Design, 28(5):405-421, 1996.

  2033. Jiang Feng Wang and Jacques Periaux. Multi-Point Optimization using GAs and Nash/Stackelberg Games for High Lift Multi-airfoil Design in Aerodynamics, Proceedings of the Congress on Evolutionary Computation 2001 (CEC'2001), Vol. 1, IEEE Service Center, Piscataway, New Jersey, pp. 552--559, May 2001 .

  2034. Y.H. Wang, S.Y. Yang, G.Z. Ni, P.H. Ni and S.L. Ho. An emigration genetic algorithm for vector optimizations of electromagnetic devices, International Journal of Applied Electromagnetics and Mechanics, Vol. 19, Nos. 1--4, pp. 103--109, 2004 .

  2035. Yuhuai Wang, Shiyou Yang, Guangzheng Ni, S.L. Ho and Z.J. Liu. An Emigration Genetic Algorithm and Its application to Multiobjective Optimal Designs of Electromagnetic Devices, IEEE Transactions on Magnetics, Vol. 40, No. 2, pp. 1240--1243, March 2004 .

  2036. Jiachuan Wang and Janis P. Terpenny. Interactive Preference Incorporation in Evolutionary Engineering Design, in Yaochu Jin (editor), Knowledge Incorporation in Evolutionary Computation, Springer, pp. 525--543, Berlin Heidelberg, 2005, ISBN 3-540-22902-7 .

  2037. H.L. Wang, S. Kwong, Y.C. Jin, W. Wei and K.F. Man. Multi-objective hierarchical genetic algorithm for interpretable fuzzy rule-based knowledge extraction, Fuzzy Sets and Systems, Vol. 149, No. 1, pp. 149--186, January 1, 2005 .

  2038. W.M. Wang, H. Rivard and R. Zmeureanu. An object-oriented framework for simulation-based green building design optimization with genetic algorithms, Advanced Engineering Informatics, Vol. 19, No. 1, pp. 5--23, January 2005 .

  2039. Shinya Watanabe, Tomoyuki Hiroyasu and Mitsunori Miki.Parallel Evolutionary Multi-Criterion Optimization for Block Layout Problems, in 2000 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA'2000), pp. 667--673, 2000.

  2040. Shinya Watanabe, Tomoyuki Hiroyasu and Mitsunori Miki. Parallel Evolutionary Multi-Criterion Optimization for Mobile Telecommunication Networks Optimization, in K.C. Giannakoglou, D.T. Tsahalis, J. Periaux, K.D. Papailiou and T. Fogarty (eds), Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems. Proceedings of the EUROGEN'2001, pp. 167--172,International Center for Numerical Methods in Engineering(CIMNE), Barcelona, Spain, 2001

  2041. Shinya Watanabe, Tomoyuki Hiroyasu and Mitsunori Miki. LCGA: Local Cultivation Genetic Algorithm for Multi-Objective Optimization Problems, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 702, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  2042. Shinya Watanabe, Tomoyuki Hiroyasu and Mitsunori Miki. NCGA: Neighborhood Cultivation Genetic Algorithm for Multi-Objective Optimization Problems, in Erick Cantú-Paz (editor), 2002 Genetic and Evolutionary Computation Conference. Late-Breaking Papers, pp. 458--465, New York, July 2002 .

  2043. Shinya Watanabe, Tomoyuki Hiroyasu and Mitsunori Miki. Neighborhood Cultivation Genetic Algorithm for Multi-Objective Optimization Problems, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 198--202, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  2044. Shinya Watanabe, Tomoyuki Hiroyasu and Mitsunori Miki. Multi-objective Rectangular Packing Problem and Its Applications, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 565--577, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  2045. Shinya Watanabe and Tomoyuki Hiroyasu. Multi-Objective Rectangular Packing Problem, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 581--602, World Scientific, Singapore, 2004.

  2046. Richard A. Watson. Problem Decomposition and Multi-Objective Optimization, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.

  2047. Andrew Webb. Evolutionary Techniques Applied to Wide Area Network Planning. PhD thesis, School of Engineering, Circuits And Systems Research Group, University of Wales Cardiff, UK, July 2000.

  2048. Nicole Weicker, Gabor Szabo, Karsten Weicker and Peter Widmayer. Evolutionary Multiobjective Optimization for Base Station Transmitter Placement with Frequency Assignment, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 2, pp. 189--203, April 2003 .

  2049. D. S. Weile, E. Michielssen, and D. E. Goldberg. Multiobjective synthesis of electromagnetic devices using nondominated sorting genetic algorithms, In 1996 IEEE Antennas and Propagation Society International Symposium Digest, volume 1, pages 592-595, Baltimore, Maryland, July 1996.

  2050. D. S. Weile and E. Michielssen. Integer coded Pareto genetic algorithm design of constrained antenna arrays, Electronics Letters, 32(19):1744-1745, September 1996.

  2051. D. S. Weile, E. Michielssen, and D. E. Goldberg. Genetic algorithm design of Pareto optimal broadband microwave absorbers, IEEE Transactions on Electromagnetic Compatibility, 38(3):518-525, August 1996.

  2052. D. S. Weile and E. Michielssen. Multiobjective optimization of electromagnetic devices using Pareto genetic algorithms. In Proceedings of the 1996 Antenna Applications Symposium, pages 1-18, Amherst, Massachusetts, 1996.

  2053. D. S. Weile and E. Michielssen. Integer coded Pareto genetic algorithm design of constrained antenna arrays. Technical Report CCEM-13-96, Electrical and Computer Engineering Department, Center for Computational Electromagnetics, University of Illinois at Urbana-Champaign, November 1996.

  2054. D. S. Weile, E. Michielssen, and D. E. Goldberg. Genetic algorithm design of pareto optimal broad-band microwave absorbers. Technical Report CCEM-4-96, Electrical and Computer Engineering Department, Center for Computational Electromagnetics, University of Illinois at Urbana-Champaign, May 1996.

  2055. K. Weinert, J. Mehnen and M. Stautner. The Application of Multiobjective Evolutionary Algorithms to the Generation of Optimized Tool Paths for Multi-Axis Die and Mould Making, in R. Teti (editor), Intelligent Computation in Manufacturing Engineering, 4th CIRP International Seminar on Intelligent Computation in Manufacturing Engineering (CIRP ICME'04), pp. 405--412, Sorrento, Naples, Italy, June 30-July 2, 2004 .

  2056. L.A. Welser, R.C. Mancini, J.A. Koch, N. Izumi, H. Dalhed, H. Scott, T.W. Barbee, R.W. Lee, I.E. Golovkin, F. Marshall, J. Delettrez and L. Klein,Analysis of the spatial structure of inertial confinement fusion implosion cores at OMEGA,Journal of Quantitative Spectroscopy & Radiative Transfer, Vol. 81, Nos. 1--4, pp. 487--497, September-November 2003.

  2057. J. F. Whidborne, D.-W. Gu, and I. Postlethwaite. Algorithms for the Method of Inequalities -- A Comparative Study. In Procedings of the 1995 American Control Conference, pages 3393-3397, Seattle, Washington, 1995.

  2058. J.F. Whidborne. A Genetic Algorithm Approach to Designing Finite-Precision PID Controller Structures, in Proceedings of the 1999 American Control Conference, Vol. 6, pp. 4338--4342, IEEE, 1999.

  2059. J.F. Whidborne and R.S.H. Istepanian. Genetic algorithm approach to designing finite-precision controller structures, IEE Proceedings on Control Theory and Applications, Vol. 148, No. 5, pp. 377--382, September 2001.

  2060. Lyndon While. A New Analysis of the LebMeasure Algorithm for Calculating Hypervolume, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 326--340, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  2061. P. B. Wienke, C. Lucasius, and G. Kateman. Multicriteria target optimization of analytical procedures using a genetic algorithm. Analytica Chimica Acta, 265(2):211-225, 1992.

  2062. Andrew Wildman and Geoff Parks. A Comparative Study of Selective Breeding Strategies in a Multiobjective Genetic Algorithm, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 418--432, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  2063. Lars Willmes and Thomas Bäck. Multi-criteria Airfoil Design with Evolution Strategies, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 782--795, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  2064. Lars Willmes and Thomas Bäck. Evolution strategies for engineering design optimisation, in K.J. Bathe (editor), Computational Fluid and Solid Mechanics 2003. Proceedings of the Second MIT Conference on Computational Fluid and Solid Mechanics, Vol. 2, pp. 2394--2397, Elsevier, The Netherlands, June 2003 .

  2065. P. B. Wilson and M. D. Macleod. Low implementation cost IIR digital filter design using genetic algorithms. In IEE/IEEE Workshop on Natural Algorithms in Signal Processing, pages 4/1-4/8, Chelmsford, U.K., 1993.

  2066. L.A. Wilson and M.D. Moore. Cross-pollinating parallel genetic algorithms for multiobjective search and optimization, International Journal of Foundations of Computer Science, Vol. 16, No. 2, pp. 261--280, April 2005 .

  2067. Kok Sung Won and Tapabrata Ray. Performance of Kriging and Cokriging based Surrogate Models within the Unified Framework for Surrogate Assisted Optimization, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1577--1585, Portland, Oregon, USA, June 2004 .

  2068. Tony Wong, Pascal Côté and Robert Sabourin. A Hybrid MOEA for the Capacitated Exam Proximity Problem, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1495--1501, Portland, Oregon, USA, June 2004 .

  2069. Jonathan Wright and Heather Loosemore. An Infeasibility Objective for Use in Constrained Pareto 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 256-268. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 .

  2070. Jonathan Wright and Heather Loosemore. The Multi-Criterion Optimization of Building Thermal Design and Control, 7th IBPSA Conference: Building Simulation, Rio de Janeiro, Brazil, pp. 873--880, Vol. 2, ISBN 85-901939-3-4, 2001.

  2071. J. Wright, H.A. Loosemore and R. Farmani. Optimization of building thermal design and control by multi-criterion genetic algorithm, Energy and Buildings, Vol. 34, No. 9, pp. 959--972, October 2002 .

  2072. Jin Wu and Shapour Azarm. On a New Constraint Handling Technique for Multi-Objective Genetic Algorithms, in Lee Spector, Erik Goodman, Annie Wu, William B. Langdon, Hans-Michael Voigt, Mitsuo Gen, Sandip Sen, Marco Dorigo, Shahram Pezeshk, Max H. Garzon, and Edmund Burke, (editors), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001), pp. 741--748, Morgan Kaufmann Publishers, San Francisco, California, July 2001 .

  2073. Jin Wu and Shapour Azarm. Metrics for Quality Assessment of a Multiobjective Design Optimization Solution Set, Transactions of the ASME, Journal of Mechanical Design, Vol. 123, pp. 18--25, 2001 .

  2074. Jin Wu. Quality Assisted Multiobjective and Multidisciplinary Genetic Algorithms, PhD Thesis, Department of Mechanical Engineering, University of Maryland at College Park, Maryland, USA, 2001 (abstract) .

    2075. X

  2075. Ningchuan Xiao, David A. Bennet and Marc P. Armstrong. Using evolutionary algorithms to generate alternatives for multiobjective site-search problems, Environment and Planning A, Vol. 34, No. 4, pp. 639--656, April 2002.

  2076. Ningchuan Xiao and Marc P. Armstrong. A Specialized Island Model and Its Application in Multiobjective Optimization, in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 1530--1540, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003 .

  2077. Hai-Yun Helen Xing. Building Load Control and Optimization, PhD thesis, Department of Architecture, The Massachusetts Institute of Technology, Cambridge, Massachusetts, USA, February 2004 (abstract) .

  2078. Shengwu Xiong and Feng Li. Parallel Strength Pareto Multi-objective Evolutionary Algorithm for Optimization Problems, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2712--2718, IEEE Press, Canberra, Australia, December 2003 .

  2079. Shengwu Xiong and Feng Li. Parallel Strength Pareto Multi-objective Evolutionary Algorithm, in Proceedings of the Fourth International Conference on Applications and Technologies (PDCAT'2003), IEEE, pp. 681--683, August 2003.

  2080. J.X. Xu, C.S. Chang and X.W. Wang. Constrained multiobjective global optimisation of longitudinal interconnected power system by genetic algorithm, IEE Proceedings on Generation, Transmission and Distribution, Vol. 143, No. 5, pp. 435--446, September 1996.

  2081. Jian-Xin Xu, Sanjib Kumar Panda and Qing Zheng. Multiobjective Optimization of Current Waveforms for Switched Reluctance Motors by Genetic Algorithm, in Congress on Evolutionary Computation (CEC'2002), Vol. 2, pp. 1860--1865, IEEE Service Center, Piscataway, New Jersey, May 2002

  2082. Qinzhen Xu, Qiangfu Zhao, Wenjiang Pei, Luxi Yang and Zhenya He. Interpretable Neural Network Tree for Continuous-Feature Data Sets, Neural Information Processing, Vol. 3, No. 3, pp. 77--84, June 2004 .

  2083. Feng Xue, Arthur C. Sanderson and Robert J. Graves. Pareto-based Multi-Objective Differential Evolution, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 862--869, IEEE Press, Canberra, Australia, December 2003 .

  2084. Feng Xue, Arthur C. Sanderson and Robert J. Graves. Multi-Objective Differential Evolution and Its Application to Enterprise Planning, in Proceedings of the 2003 IEEE International Conference on Robotics and Automation (ICRA'03), Vol. 3, pp. 3535--3541, IEEE, Taipei, Taiwan, September 2003 .

    2085. Y

  2085. Kazuo Yamasaki. Dynamic Pareto Optimum GA against the changing environments, 2001 Genetic and Evolutionary Computation Conference. Workshop Program, San Francisco, California, pp. 47--50, July 2001 .

  2086. Zhenyu Yan, Linghai Zhang, Lishan Kang and Guangming Lin. A New MOEA for Multi-objective TSP and Its Convergence Property Analysis, in Carlos M. Fonseca, Peter J. Fleming, Eckart Zitzler, Kalyanmoy Deb and Lothar Thiele (editors), Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, pp. 342--354, Springer. Lecture Notes in Computer Science. Volume 2632, Faro, Portugal, April 2003 .

  2087. Xiaofeng Yang and Mitsuo Gen. Evolution program for bicriteria transportation problem. In M. Gen and T. Kobayashi, editors, Proceedings of the 16th International Conference on Computers and Industrial Engineering, pages 451-454, Ashikaga, Japan, 1994. Pergamon Press.

  2088. Yingxu Yang and S.A. Billings. Extracting Boolean Rules from CA Patterns, IEEE Transactions on Systems, Man, and Cybernetics---Part B: Cybernetics, Vol. 30, No. 4, pp. 573--580, August 2000.

  2089. Zichen Yang and Bo Meng. A Multi-objective Genetic Algorithms Method for Generating Pareto Solutions in Bilateral Negotiations, Proceedings of the 4th World Congress on Intelligent Control and Automation, Vol. 2, pp. 1985--1989, 2002 .

  2090. S.Y. Yang, J.R. Cardoso, S.L. Ho, P.H. Ni, J.M. Machado and E.W.C. Lo. An improved tabu-based vector optimal algorithm for design optimizations of electromagnetic devices, IEEE Transactions on Magnetics, Vol. 40, No. 2, pp. 1140--1143, Part 2, March 2004 .

  2091. Leehter Yao, William A. Sethares, and Daniel C. Kammer. Sensor Placement for On-Orbit Modal Identification via a Genetic Algorithm. AIAA Journal, 31(10):1922-1928, October 1993.

  2092. Haluk Yapicioglu, Gerry Dozier and Alice E. Smith. Bi-criteria Model for Locating a Semi-desirable Facility on a Plane Using Particle Swarm Optimization, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 2328--2334, Portland, Oregon, USA, June 2004 .

  2093. Patrice Ogou Yapo. A multiobjective global optimization algorithm with application to the calibration of hydrologic models. PhD thesis, Department of Systems and Industrial Engineering, The University of Arizona, Tucson, Arizona, 1996 (abstract).

  2094. P. O. Yapo, H. V. Gupta, and S. Sorooshian. Multi-Objective Global Optimization for Hydrologic Models. Journal of Hydrology, 204:83-97, 1998.

  2095. Keiichiro Yasuda, Osamu Yamazaki and Takao Watanabe. Proposal of a cannibalism bug-based search strategy using genetic algorithms (C-BUGS) and its application to multiobjective optimization problems, Electrical Engineering in Japan, Vol. 139, No. 1, pp. 51--64, April 2002 .

  2096. Chao-Hsien Yeh and John W. Labadie. Multiobjective Watershed-Level Planning of Storm-Water Detention Systems. Journal of Water Resources Planning and Management, 123(6):336-343, November/December 1997.

  2097. Kai Yen and Lajos Hanzo. Genetic Algorithm Based Antenna Diversity Assisted Multiuser Detection for Synchronous CDMA Systems, in IEEE Vehicular Technology Conference, Spring, IEEE, Vol. 3, pp. 1794--1798, 2001.

  2098. Gary G. Yen and Haiming Lu. Hierarchical Rank Density Genetic Algorithm for Radial-Basis Function Neural Network Design, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 25--30, IEEE Service Center, Piscataway, New Jersey, May 2002.

  2099. Gary G. Yen and Haiming Lu. Dynamic Multiobjective Evolutionary Algorithm: Adaptive Cell-Based Rank and Density Estimation, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 3, pp. 253--274, June 2003 .

  2100. L. Yinzhen, K. Ida, and M. Gen. Improved Genetic Algorithm for Solving Multiobjective Solid Transportation Problem with Fuzzy Numbers. Computers and Industrial Engineering, 33(3):589-592, December 1997.

  2101. Seung-Ryul Yoo. Determination of Operational Frequencies on Express Bus Service using Dynamic Niche Sharing Pareto GA. PhD thesis, Graduate School of Korea University, Department of Industrial Engineering, Korea, 1997. (in Korean).

  2102. J. Yoo and P. Hajela. Immune network simulations in multicriterion design. Structural Optimization, Vol. 18, pp. 85--94, 1999

  2103. K. Yoshida, M. Yamamura, and S. Kobayashi. Generating Pareto Optimal Decision Trees by GAs. In Proceedings of the 4th International Conference on Soft Computing, pages 854-859, 1996.

  2104. Kazuyuki Yoshimura and Ryohei Nakano. Genetic Algorithms for Information Operator Scheduling. In David B. Fogel, editor, Proceedings of the 1998 International Conference on Evolutionary Computation, pages 277-282, Piscataway, New Jersey, 1998. IEEE.

  2105. Susumu Yoshizawa, Tohru Kawabe and Sadaaki Miyamoto. Robust Control Design Method for Systems with Multi-objective Specifications, in Joint 9th IFSA World Congress and 20th NAFIPS International Conference, IEEE, Vol. 3, pp. 1746--1751, 2001.

  2106. Abdulnasser Younes, Hamada Ghenniwa and Shawki Areibi. An Adaptive Genetic Algorithm for Multi Objective Flexible Manufacturing Systems, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 1241--1248, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  2107. Habib Youssef, Sadiq M. Sait, and Salman A. Khan. Fuzzy Simulated Evolution Algorithm for Topology Design on Campus Networks, In 2000 Congress on Evolutionary Computation, volume 1, pages 180-187, Piscataway, New Jersey, July 2000. IEEE Service Center.

  2108. Habib Youssef, Sadiq M. Sait, and Salman A. Khan. Fuzzy Evolutionary Hybrid Metaheuristic for Network Topology 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 400-415. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 .

  2109. Yan Yu. Multi-objective decision theory for computational optimization in radiation therapy. Medical Physics, 24:1445-1454, 1997.

  2110. Y. Yu, JB. Y. Zhang, and M. C. Schell. Multi-objective Stochastic Reasoning and Genetic Algorithm Optimization: Applications in Radiotherapy Treatment Planning. In D. W. Pearson, editor, Proceedings of the Second International ICSC Symposium on Soft Computing, pages 231-237, Nımes, France, September 1997. ICSC Academic Press.

  2111. W.F. Yu, K. Hidajat and A.K. Ray, Application of multiobjective optimization in the design and operation of reactive SMB and its experimental verification, Industrial & Engineering Chemistry Research, Vol. 42, No. 26, pp. 6823--6831, December 24, 2003.

  2112. Michael A. Yukish. Algorithms to Identify Pareto Points in Multi-Dimensional Data Sets, PhD thesis, College of Engineering, Pennsylvania State University, USA, August 2004 (abstract) .

  2113. Y.B. Yun, H. Nakayama, T. Tanino and M. Arakawa. A Multi-Objective Optimization Method Combining Generalized Data Envelopment Analysis and Genetic Algorithms, in 1999 IEEE International Conference on Systems, Man, and Cybernetics, Vol. 1, pp. 671--676, IEEE, 1999.

  2114. Y.B. Yun, H. Nakayama and M. Arakawa. Multiple criteria decision making with generalized DEA and an aspiration level method, European Journal of Operational Research, Vol. 158, No. 3, pp. 697--706, November 1, 2004 .

  2115. Yeboon Yun, Hirotaka Nakayama and Masao Arakawa. Fitness Evaluation using Generalized Data Envelopment in MOGA, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 464--471, Portland, Oregon, USA, June 2004 .

  2116. Y. Yun, M. Yoon and H. Nakayama. Genetic algorithm for multi-objective optimization using GDEA, in Advances in Natural Computation, Pt 3 Proceedings, Springer, pp. 409--416, Lecture Notes in Computer Science Vol. 3612, 2005.

    2117. Z

  2117. R. Romero Zaliz, I. Zwir and E. Ruspini. Generalized Analysis of Promoters: A Method for DNA Sequence Description, in Carlos A. Coello Coello and Gary B. Lamont (editors), Applications of Multi-Objective Evolutionary Algorithms, pp. 427--449, World Scientific, Singapore, 2004.

  2118. A.M.S. Zalzala, M.C. Ang, M. Chen, A.S. Rana and Q. Wang. Evolutionary algorithms for robotic systems: principles and implementations, in A.M.S. Zalzala and P.J. Fleming (editors), Genetic Algorithms in Engineering Systems, Chapter 8, pp. 161--202, The Institution of Electrical Engineers. Control Engineering Series 55, Bath, UK, 1997.

  2119. Angel E. Muñoz Zavala, Enrique R. Villa Diharce and Arturo Hernández Aguirre. Particle Evolutionary Swarm for Design Reliability Optimization, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 856--869, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  2120. R. S. Zebulum, M. A. Pacheco, and M. Vellasco. A multi-objective optimisation methodology applied to the synthesis of low-power operational amplifiers, In Ivan Jorge Cheuri and Carlos Alberto dos Reis Filho, editors, Proceedings of the XIII International Conference in Microelectronics and Packaging, volume 1, pages 264-271, Curitiba, Brazil, August 1998.

  2121. R. S. Zebulum, M. A. Pacheco, and M. Vellasco. Synthesis of CMOS operational amplifiers through Genetic Algorithms, In Proceedings of the Brazilian Symposium on Integrated Circuits, SBCCI'98, pages 125-128, Rio de Janeiro, Brazil, September 1998. IEEE.

  2122. Ricardo Salem Zebulum, Marco Aurélio Pacheco, and Marley Vellasco. Artificial Evolution of Active Filters: A Case Study, In Proceedings of the First NASA/DoD Workshop on Evolvable Hardware, pages 66-75, Los Alamitos, California, July 1999. IEEE Computer Society.

  2123. Emily M. Zechman and S. Ranji Ranjithan. Are the "Best" Solutions to a Real Optimization Problem Always Found in the Noninferior Set? Evolutionary Algorithm for Generating Alternatives (EAGA), in Erick Cantú-Paz et al. (editors), Genetic and Evolutionary Computation---GECCO 2003. Proceedings, Part II, pp. 1622--1623, Springer. Lecture Notes in Computer Science Vol. 2724, July 2003 .

  2124. Milan Zeleny. The Evolution of Optimality: De Novo Programming, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 1--13, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  2125. SanYou Zeng, LiXin Ding, Yuping Chen and LiShan Kang. A New Multiobjective Evolutionary Algorithm: OMOEA, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 2, pp. 898--905, IEEE Press, Canberra, Australia, December 2003 .

  2126. Sanyou Y. Zeng, Lishan S. Kang and Lixin X. Ding. An Orthogonal Multi-objective Evolutionary Algorithm for Multi-objective Optimization Problems with Constraints, Evolutionary Computation, Vol. 12, No. 1, pp. 77--98, Spring 2004 .

  2127. Sanyou Zeng, Shuzhen Yao, Lishan Kang and Yong Liu. An Efficient Multi-objective Evolutionary Algorithm: OMOEA-II, in Carlos A. Coello Coello and Arturo Hernández Aguirre and Eckart Zitzler (editors), Evolutionary Multi-Criterion Optimization. Third International Conference, EMO 2005, pp. 108--119, Springer. Lecture Notes in Computer Science Vol. 3410, Guanajuato, México, March 2005 .

  2128. Byoung-Tak Zhang and Heinz Mühlenbein. Adaptive Fitness Functions for Dynamic Growing/Pruning of Program Trees. In Peter J. Angeline and Jr. Kenneth E. Kinnear, editors, Advances in Genetic Programming 2, pages 241-256. MIT Press, 1996.

  2129. P. Zhang and A.H. Coonick. Coordinated Synthesis of PSS Parameters in Multi-Machine Power Systems Using the Method of Inequalities Applied to Genetic Algorithms, IEEE Transactions on Power Systems, Vol. 15, No. 2, pp. 811--816, May 2000.

  2130. Z. Zhang, M. Mazzotti and M. Morbidelli. Multiobjective optimization of simulated moving bed and Varicol processes using genetic algorithm, Journal of Chromatography A, Vol. 989, No. 1, pp. 95--108, March 7, 2003 .

  2131. L.B. Zhang, C.G. Zhou, X.H. Liu, Z.Q. Ma and Y.C. Liang. Solving Multi Objective Optimization Problems Using Particle Swarm Optimization. in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2400--2405, IEEE Press, Canberra, Australia, December 2003.

  2132. Jian Zhang, Xiaohui Yuan and Bill P. Buckles. Subspace FDC for Sharing Distance Estimation, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 2, pp. 1735--1742, Portland, Oregon, USA, June 2004 .

  2133. Yan Zhang, Kus Hidajat and Ajay K. Ray. Optimal design and operation of SMB bioreactor: production of high fructose syrup by isomerization of glucose, Biochemical Engineering Journal, Vol. 21, No. 2, pp. 111--121, October 2004 .

  2134. Yong Zhao, Carlos A. Brizuela and Nobuo Sannomiya. Application of the Partial Enumeration Selection Method in Genetic Algorithms to Solving a Multi-Objective Flowshop Problem, in 2001 IEEE International Conference on Systems, Man, and Cybernetics, Vol. 4, pp. 2365--2370, 2001.

  2135. Shuguang Zhao, Licheng Jiao, Jianxun Zhao and Yuping Wang. Evolutionary Design of Analog Circuits with a Uniform-Design Based Multi-Objective Adaptive Genetic Algorithm, in Jason Lohn, David Gwaltney, Gregory Hornby, Ricardo Zebulum, Didier Keymeulen and Adrian Stoica (editors), 2005 NASA/DoD Conference on Evolvable Hardware, pp. 26--29, IEEE Computer Society Press, Los Alamitos, California, July 2005 .

  2136. Shuguang Zhao, Jianxun Zhao and Licheng Jiao. Adaptive Genetic Algorithm Based Approach for Evolutionary Design and Multi-objective Optimization of Logic Circuits, in Jason Lohn, David Gwaltney, Gregory Hornby, Ricardo Zebulum, Didier Keymeulen and Adrian Stoica (editors), 2005 NASA/DoD Conference on Evolvable Hardware, pp. 67--72, IEEE Computer Society Press, Los Alamitos, California, July 2005 .

  2137. Bo Zhao and Yi-jia Cao. Multiple objective particle swarm optimization technique for economic load dispatch, Journal of Zhejiang University SCIENCE, Vol. 6A, No. 5, pp. 420--427, 2005 .

  2138. F.Q. Zhao, Q.Y. Zhang, D.M. Yu, X.H. Chen and Y.H. Yang. A hybrid algorithm based on PSO and simulated annealing and its applications for partner selection in virtual enterprise, in Advances in Intelligent Computing, Pt 1, Proceedings, Springer, pp. 380--389, Lecture Notes in Computer Science Vol. 3644, 2005.

  2139. D.X.M. Zheng, S.T. Ng and M.M. Kumaraswamy. Applying a genetic algorithm-based multiobjective approach for time-cost optimization, Journal of Construction Engineering and Management--ASCE, Vol. 130, No. 2, pp. 168--176, March-April 2004 .

  2140. Jinhua Zheng, Zhongzhi Shi, Charles X. Ling and Yong Xie. Some Discussions about MOGAs: Individual Relations, Non-dominated Set, and Application on Automatic Negotiation, in 2004 Congress on Evolutionary Computation (CEC'2004), IEEE Service Center, Vol. 1, pp. 706--712, Portland, Oregon, USA, June 2004 .

  2141. Yan Zenyhu, Kang Lishan, Bob McKay and Fu Penghui. SEEA For Multiobjective Optimization: Reinforcing Elitist MOEA Through Multi-Parent Crossover, Steady Elimination and Swarm Hill Climbing, in Lipo Wang, Kay Chen Tan, Takeshi Furuhashi, Jong-Hwan Kim and Xin Yao (editors), Proceedings of the 4th Asia-Pacific Conference on Simulated Evolution and Learning (SEAL'02), pp. 21--25, Vol. 1, Nanyang Technical University, Orchid Country Club, Singapore, November 2002.

  2142. Gengui Zhou and Mitsuo Gen. Evolutionary Computation on Multicriteria Production Process Planning Problem, In Proceedings of the 1997 IEEE International Conference on Evolutionary Computation, pages 419-424, Piscataway, New Jersey, April 1997. IEEE Press.

  2143. Gengui Zhou and Mitsuo Gen. Genetic Algorithm Approach on Multi-Criteria Minimum Spanning Tree Problem, European Journal of Operational Research, 114(1), April 1999.

  2144. Fangbin Zhou, Santosh K. Gupta and Ajay K. Ray. Multiobjective Optimization of the Continouos Casting Process for Poly (methyl methacrylate) Using Adapted Genetic Algorith, Journal of Applied Polymer Science, Vol. 78, No. 7, pp. 1439--1458, November 2000.

  2145. Ningning Zhou. Simulation and Synthesis of MicroElectroMechanical Systems, PhD thesis, Department of Mechanical Engineering, The University of California at Berkeley, Berkeley, California, USA, Spring 2002 (abstract) .

  2146. Y.R. Zhou and J. He. The convergence of a multi-objective evolutionary algorithm based on grids, Advances in Natural Computation, Pt 2, Proceedings, Springer, pp. 1015--1024, Lecture Notes in Computer Science Vol. 3611, 2005 .

  2147. Bo Zhu, Ho Seong Lee, Lin Guo and Masayoshi Tomizuka. Robust Tuning of Fixed-Structure Controller for Disk Drives using Statistical Model and Multi-Objective Genetic Algorithms, in Proceedings of the 2001 American Control Conference, IEEE, Vol. 4, pp. 2773--2778, 2001 .

  2148. Zhong-Yao Zhu and Kwong-Sak Leung. An Enhanced Annealing Genetic Algorithm for Multi-Objective Optimization Problems, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 658--665, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  2149. Zhong-Yao Zhu and Kwong-Sak Leung. Asynchronous Self-Adjustable Island Genetic Algorithm for Multi-Objective Optimization Problems, in Congress on Evolutionary Computation (CEC'2002), Vol. 1, pp. 837--842, IEEE Service Center, Piscataway, New Jersey, May 2002

  2150. Zhong-Yao Zhu. An Evolutionary Approach to Multi-Objective Optimization Problems, PhD thesis, The Chinese University of Hong Kong, August, 2002 (abstract) .

  2151. Eckart Zitzler and Lothar Thiele. Multiobjective Optimization Using Evolutionary Algorithms--A Comparative Study, In A. E. Eiben, editor, Parallel Problem Solving from Nature V, pages 292-301, Amsterdam, September 1998. Springer-Verlag.

  2152. Eckart Zitzler and Lothar Thiele. An Evolutionary Algorithm for Multiobjective Optimization: The Strength Pareto Approach, Technical Report 43, Computer Engineering and Communication Networks Lab (TIK), Swiss Federal Institute of Technology (ETH), Zurich, Switzerland, May 1998.

  2153. Jürgen Teich, Eckart Zitzler, and Shuvra S. Bhattacharyya. 3D Exploration of Software schedules for DSP Algorithms, In 7th International Workshop on Hardware/Software Codesign (CODES'99), pp. 168--172, May 1999.

  2154. Eckart Zitzler, Jürgen Teich, and Shuvra S. Bhattacharyya. Evolutionary Algorithm Based Exploration of Software Schedules for Digital Signal Processors, In W. Banzhaf, J. Daida, A. E. Eiben, M. H. Garzon, V. Honavar, M. Jakiela, and R. E. Smith, editors, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'99), volume 2, pages 1762-1769, San Francisco, California, July 1999. Morgan Kaufmann.

  2155. Eckart Zitzler, Kalyanmoy Deb, and Lothar Thiele. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results, Technical Report 70, Computer Engineering and Networks Laboratory (TIK), Swiss Federal Institute of Technology (ETH) Zurich, Gloriastrasse 35, CH-8092 Zurich, Switzerland, December 1999.

  2156. Eckart Zitzler and Lothar Thiele. Multiobjective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach, IEEE Transactions on Evolutionary Computation, 3(4):257-271, November 1999.

  2157. Eckart Zitzler, Kalyanmoy Deb, and Lothar Thiele. Comparison of Multiobjective Evolutionary Algorithms on Test Functions of Different Difficulty, In Annie S. Wu, editor, Proceedings of the 1999 Genetic and Evolutionary Computation Conference. Workshop Program, pages 121-122, Orlando, Florida, July 1999.

  2158. Eckart Zitzler, Jürgen Teich, and Shuvra S. Bhattacharyya. Multidimensional Exploration of Software Implementations for DSP Algorithms Journal of VLSI Signal Processing, Vol. 24, No. 1, pp. 83--98, February 1999.

  2159. Eckart Zitzler. Evolutionary Algorithms for Multiobjective Optimization: Methods and Applications PhD thesis, Swiss Federal Institute of Technology (ETH), Zurich, Switzerland, November 1999.

  2160. Eckart Zitzler, Kalyanmoy Deb, and Lothar Thiele. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results. Evolutionary Computation, 8(2):173-195, Summer 2000.

  2161. Eckart Zitzler, Marco Laumanns and Lothar Thiele. SPEA2: Improving the Strength Pareto Evolutionary Algorithm, Technical Report 103, Computer Engineering and Networks Laboratory (TIK), Swiss Federal Institute of Technology (ETH) Zurich, Gloriastrasse 35, CH-8092 Zurich, Switzerland, May 2001.

  2162. Eckart Zitzler, Marco Laumanns and Lothar Thiele. SPEA2: Improving the Strength Pareto Evolutionary Algorithm, in K. Giannakoglou, D. Tsahalis, J. Periaux, P. Papailou and T. Fogarty (eds.) EUROGEN 2001, Evolutionary Methods for Design, Optimization and Control with Applications to Industrial Problems, pp. 95--100, Athens, Greece, 2002.

  2163. Eckart Zitzler, Marco Laumanns, Lothar Thiele, Carlos M. Fonseca and Viviane Grunert da Fonseca. Why Quality Assessment of Multiobjective Optimizers Is Difficult, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 666--673, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  2164. Eckart Zitzler, Lothar Thiele, Marco Laumanns, Carlos M. Fonseca and Viviane Grunert da Fonseca. Performance Assessment of Multiobjective Optimizers: An Analysis and Review, IEEE Transactions on Evolutionary Computation, Vol. 7, No. 2, pp. 117--132, April 2003 .

  2165. Eckart Zitzler, Marco Laumanns and Stefan Bleuler. A Tutorial on Evolutionary Multiobjective Optimization, in Xavier Gandibleux, Marc Sevaux, Kenneth Sörensen and Vincent T'kindt (editors), Metaheuristics for Multiobjective Optimisation, pp. 3--37, Springer. Lecture Notes in Economics and Mathematical Systems Vol. 535, Berlin, 2004 .

  2166. Eckart Zitzler and Simon Künzli. Indicator-based Selection in Multiobjective Search, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 832--842, Birmingham, UK, September 2004 .

  2167. N. Zong and X. Hong. Nonlinear channel equalizer design using directional evolutionary multi-objective optimization, International Journal of Systems Science, Vol. 36, No. 12, pp. 737--755, October 10, 2005 .

  2168. Xiufen Zou, Minzhong Liu, Lishan Kang and Jun He. A high performance multi-objective evolutionary algorithm based on the principles of thermodynamics, in Xin Yao et al. (editors), Parallel Problem Solving from Nature - PPSN VIII, Springer-Verlag, Lecture Notes in Computer Science, Vol. 3242, pp. 922--931, Birmingham, UK, September 2004 .

  2169. Igor S. Zwir and Enrique H. Ruspini. Qualitative Object Description: Initial Reports of the Exploration of the Frontier,In Procedings of the Joint EUROFUSE--SIC'99 International Conference, Budapest, Hungary, 1999.

  2170. I. Zwir, R. Romero Zaliz and E.H. Ruspini. Automated Biological Sequence Description by Genetic Multiobjective Generalized Clustering, Annals of the New York Academy of Sciences, Vol. 980, pp. 65--82, 2002.

  2171. Jesse B. Zydallis, Gary B. Lamont, and David A. Van Veldhuizen. Messy Genetic Algorithm Based Multi-Objective Optimization: A Comparative Statistical Analysis, In PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN), Paris, France, September 2000.

  2172. Jesse B. Zydallis, David A. Van Veldhuizen, and Gary B. Lamont. A Statistical Comparison of Multiobjective Evolutionary Algorithms Including the MOMGA-II. In Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele, Carlos A. Coello Coello, and David Corne, editors, First International Conference on Evolutionary Multi-Criterion Optimization, pages 226-240. Springer-Verlag. Lecture Notes in Computer Science No. 1993, 2001 .

  2173. Jesse B. Zydallis and Gary B. Lamont. Solving od discrete multiobjective problems using an evolutionary algorithm with a repair mechanism, Proceedings of the IEEE 2001 Midwest Symposium on Circuits and Systems, Vol. 1, pp. 470--473, IEEE, 2001.

  2174. Jesse B. Zydallis, Todd A. Sriver and Gary B. Lamont. Multiobjective Evolutionary Algorithm Approach for Solving Integer Based Optimization Problems, in E.Cantú-Paz, K. Mathias, R. Roy, D. Davis, R. Poli, K. Balakrishnan, V. Honavar, G. Rudolph, J. Wegener, L. Bull, M. A. Potter, A.C. Schultz, J. F. Miller, E. Burke, and N.Jonoska (editors)Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'2002), pp. 1276, Morgan Kaufmann Publishers, San Francisco, California, July 2002 .

  2175. Jesse B. Zydallis. Explicit Building-Block Multiobjective Genetic Algorithms: Theory, Analysis, and Development, PhD thesis, Air Force Institute of Technology, Department of the Air Force, Air University, Wright-Patterson, Airforce Base, Ohio, USA, March 2003 .

  2176. Jesse B. Zydallis and Gary B. Lamont. Explicit Building-Block Multiobjective Evolutionary Algorithms for NPC Problems, in Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), Volume 4, pp. 2685--2695, IEEE Press, Canberra, Australia, December 2003 .