Coevolutionary multi-objective EAs: The next frontier?

2006 IEEE Congress on Evolutionary Computation, CEC 2006

Volumn , Issue , 2006, Pages 1726-1735

  Kleeman, Mark P ^a   Lamont, Gary B ^a  

^a IEEE

Author keywords

[No Author keywords available]

Indexed keywords

EVOLUTIONARY ALGORITHMS; INTEGRATION; PROBLEM SOLVING;

COEVOLUTION; COEVOLUTIONARY TECHNIQUES; INFANCY;

MULTIOBJECTIVE OPTIMIZATION;

EID: 34547256346     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (30)

1. P. J. Angeline and J. B. Pollack. Competitive environments evolve better solutions for complex tasks. In Proceedings of the 5th International Conference on Genetic Algorithms, pages 264-270, San Francisco, CA, USA, 1993. Morgan Kaufmann Publishers Inc.
2. H. J. C. Barbosa and A. M. S. Barreto. An interactive genetic algorithm with co-evolution of weights for multiobjective problems. In L. Spector, E. D. Goodman, A. Wu, W. Langdon, H.-M. Voigt, M. Gen, S. Sen, M. Dorigo, S. Pezeshk, M. H. Garzon, and E. Burke, editors, Proceedings of the Genetic ami Evolutionary Computation Conference (GECCO-2001), pages 203-210, San Francisco, California, USA, 7-11 July 2001. Morgan Kaufmann.
3. C. A. Coello Coello and M. Reyes Sierra. A Coevolutionary Multi-Objective Evolutionary Algorithm. In Proceedings of the 2003 Congress on Evolutionary Computation (CEC'2003), volume 1, pages 482-489, Canberra, Australia, December 2003. IEEE Press.
4. C. A. Coello Coello, D. A. Van Veldhuizen, and G. B. Lamont. Evolutionary Algorithms for Solving Multi-Objective Problems. Kluwer Academic Publishers, New York, May 2002. ISBN 0-3064-6762-3.
5. R. O. Day. Explicit Building Block Multiobjective Evolutionary Computation: Methods and Applications. PhD thesis, Air Force Institute of Technology, Wright Patterson AFB, OH, June 2005.
6. R. O. Day, J. B. Zydallis, G. B. Lamont, and R. Pachter. Solving the protein structure prediction problem through a multiobjective genetic algorithm. In Technical Proceedings of the Second International Conference on Computational Nanoscience and Nanotechnology, NanoTech 2002-ICCN 2002, pages 32- 5, Boston, 22-25 April 2002. Computational Publications.
7. K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan. A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6(2): 182-197, April 2002.
8. C. M. Fonseca and P. J. Fleming. Multiobjective optimization and multiple constraint handling with evolutionary algorithms, i. a unified formulation. IEEE Transactions on Systems, Man, and Cybernetic Part A, 28(1):26-37, 1998.
9. C. M. Fonseca and P. J. Fleming. Multiobjective optimization and multiple constraint handling with evolutionary algorithms, ii. application example. IEEE Transactions on Systems. Man, and Cybernetic Part A, 28(1):38-47, 1998.
10. D. E. Goldberg and L. Wang. Adaptive niching via coevolutionary sharing. In D. Quagliarella, J. Périaux, C. Poloni, and G. Winter, editors, Genetic Algorithms and Evolution Strategy in Engineering and Computer Science, pages 21-38. John Wiley and Sons, Chichester, 1998.
11. W. D. Hillis. Co-evolving parasites improve simulated evolution as an optimization procedure. In C. G. Langton, C. Taylor, J. D. Farmer, and S. Rasmussen, editors, Artificial Life II, volume X of Santa Fe Institute Studies in the Sciences of Complexity, pages 313-324. Addison-Wesley, Santa Fe Institute, New Mexico, USA, Feb. 1990 1992.
12. K. Hirasawa, Y. Ishikawa, J. Hu, J. Murata, and J. Mao. Genetic symbiosis algorithm. In Proc. of the 2000 Congress on Evolutionary Computation, pages 1377-1384, Piscataway, NJ, 2000. IEEE Service Center.
13. A. Iorio and X. Li. A cooperative coevolutionary multiobjective algorithm using non-dominated sorting. In K. Deb, R. Poli, W. Banzhaf, H.-G. Beyer, E. K. Burke, P. J. Darwen, D. Dasgupta, D. Floreano, J. A. Foster, M. Harman, O. Holland, P. L. Lanzi, L. Spector, A. Tettamanzi, D. Thierens, and A. M. Tyrrell, editors, GECCO (1), volume 3102 of Lecture Notes in Computer Science, pages 537-548. Springer, 2004.
14. N. Keerativuttitumrong, N. Chaiyaratana, and V. Varavithya. Multi-objective co-operative co-evolutionary genetic algorithm. In PPSN VII: Proceedings of the 7th International Conference on Parallel Problem Solving from Nature, pages 288-297, London, UK, 2002. Springer-Verlag.
15. T. A. Keller and G. B. Lamont. Optimization of a Quantum Cascade Laser Operating in the Terahertz Frequency Range Using a Multiobjective Evolutionary Algorithm. In 17th International Conference on Multiple Criteria Decision Making (MCDM 2004), volume 1, 6-11 December 2004.
16. M. P. Kleeman and G. B. Lamont. Solving the aircraft engine maintenance scheduling problem using a multi-objective evolutionary algorithm. In C. A. C. Coello, A. H. Aguirre, and E. Zitzler, editors, EMO, volume 3410 of Lecture Notes in Computer Science, pages 782-796. Springer, 2005.
17. J. D. Knowles and D. Corne. Properties of an adaptive archiving algorithm for staring nondominated vectors. IEEE Trans. Evolutionary Computation, 7(2): 100-116, 2003.
18. J. D. Knowles and D. W. Come. Approximating the Nondominated Front Using the Pareto Archived Evolution Strategy. Evolutionary Computation, 8(2): 149-172, 2000.
19. G. B. Lamont, S. M. Brown, and G. H. G. Jr. Evolutionary algorithms combined with deterministic search. In V. W. Porto, N. Saravanan, D. E. Waagen, and A. E. Eiben, editors, Evolutionary Programming, volume 1447 of Lecture Notes in Computer Science, pages 517-526. Springer, 1998.
20. J. Lohn, W. F. Kraus, and G. L. Haith. Comparing a coevolutionary genetic algorithm for multiobjective optimization. In D. B. Fogel, M. A. El-Sharkawi, X. Yao, G. Greenwood, H. Iba, P. Marrow, and M. Shackleton, editors, Proceedings of the 2002 Congress on Evolutionary Computation CEC2002, pages 1157-1162. IEEE Press, 2002.
21. J. Mao, K. Hirasawa, J. Hu, and J. 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), pages 137-142. IEEE, 2000.
22. M. Neef, D. Thierens, and H. Arciszewski. A case study of a multiobjective recombinative genetic algorithm with coevolutionary sharing. In P. J. Angelinie, Z. Michalewicz, M. Schoenauer, X. Yao, and A. Zalzala, editors, Proceedings of the Congress on Evolutionary Computation, volume 1, pages 796-804, Mayflower Hotel, Washington D.C., USA, 6-9 1999. IEEE Press.
23. J. Paredis. Coevolutionary algorithms. In T. Back, D. B. Fogel, and Z. Michalewicz, editors, Evolutionary Computation 2: Advanced Algorithms and Operators, pages 224-238. Institute of Physics Publishing, Bristol, UK, 2000.
24. I. C. Parmee and A. H. Watson. Preliminary airframe design using coevolutionary 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, volume 2, pages 1657-1665, Orlando, Florida, USA, 13-17 July 1999. Morgan Kaufmann.
25. M. A. Potter and. K. A. D. Jong. A cooperative coevolutionary approach to function optimization. In PPSN III: Proceedings of the International Conference on Evolutionary Computation, The Third Conference on Parallel Problem Solving from Nature, pages 249 257, London, UK, 1994. Springer-Verlag.
26. A. Rodriguez, T. Keller, G. Lamont, and T. Nelson. Using a multiobjective evolutionary algorithm, to develop a quantum cascade laser operating in the terahertz frequency range. In Proceedings of the 2005 Congress on Evolutionary Computation CEC2005, Edinburgh, Scotland, 2-5 September 2005. IEEE Press.
27. K. Tan, Y. Yang, and T. Lee. A Distributed Cooperative Coevolutionary Algorithm for Multiobjective Optimization. In Proceedings of the 2003 Congress on Evolutionary Computation (CEC2003), volume 4, pages 2513-2520, Canberra, Australia, December 2003. IEEE Press.
28. K. C. Tan, A. Tay, and J. Cai. Design, and implementation of a distributed evolutionary computing software. IEEE Transactions on Systems, Man, and Cybernetics, Part C, 33(3):325-338, 2003.
29. E. Zitzler, K. Deb, and L. Thiele. Comparison, of multiobjective evolutionary algorithms: Empirical results. Evolutionary Computation, 8(2): 173-195, 2000.
30. J. Zydallis. Explicit Building-Block Multiobjective Genetic Algorithms: Theory, Analysis, and Development. PhD thesis, Air Force Institute of Technology, Wright Patterson AFB, OH, March 2003.