Collections on Evolutionary Multiobjective Optimization

Maintained by

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

Last Update: July 21st, 2007

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

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

    A

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

  2. 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 .

  3. 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.

  4. 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.

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

  6. 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

  7. 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.

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

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

    10. B

  10. 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 .

  11. 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 .

  12. 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.

  13. 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.

  14. 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.

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

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

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

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

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

  20. 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

  21. 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 .

  22. 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

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

  24. 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 .

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

  26. 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

  27. 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.

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

  29. 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.

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

    31. C

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

  32. 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 .

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

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

  35. 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.

  36. 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 .

  37. 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.

  38. 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.

  39. 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

  40. 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.

  41. 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.

  42. 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.

  43. 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 .

  44. 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 .

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

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

  47. 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.

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

  49. 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 .

    50. D

  50. 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.

  51. 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.

  52. 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.

  53. 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

  54. 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

  55. 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

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

  57. 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 .

  58. 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 .

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

  60. 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.

  61. 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.

  62. 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.

  63. 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.

  64. 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 .

    65. E

  65. 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.

  66. 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.

  67. 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.

  68. 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.

  69. 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.

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

    71. F

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

  72. 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.

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

  74. 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.

  75. 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.

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

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

  78. 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.

  79. 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.

  80. 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.

  81. 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.

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

    83. G

  83. 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.

  84. 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.

  85. 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.

  86. 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.

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