Self adaptive island GA

2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings

Volumn 2, Issue , 2003, Pages 1072-1079

  Takashima, Eiichi ^a   Murata, Yoshihiro ^a   Shibata, Naoki ^a   Ito, Minoru ^a  

^a NARA INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS;

COMPUTATION COSTS; EVALUATION EXPERIMENTS; MULTIPLE PARAMETERS; SIMPLE GA;

PARAMETER ESTIMATION;

EID: 40649101598     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2003.1299787     Document Type: Conference Paper

References (18)

1. Back, T. Self-adaptation in genetic algorithms. In F.J.Varela, P. B., editor, Proceedings of 1st European Conference on Artificial Life, pp. 263-271, (1992).
2. Espinoza, F., Minsker, B. S. and Goldberg, D. A Self- Adaptive Hybrid Genetic Algorithm. Proceedings of the Genetic and Evolutionary Computation Conference, San Francisco, Morgan Kaufmann Publishers, p. 759, (2001).
3. Krink, T. and Ursem, R K. Parameter Control Using the Agent Based Patchwork Model. Proceedings of the Congress on Evolutionary Computation, pp. 77-83. (2000).
4. Kee, E, Airey, S. and Cye, W. An Adaptive Genetic Algorithm. Proceedings of the Genetic and Evolutionary Computation Conference, pp. 391-397, (2001).
5. Murata, Y, Shibata, N., Yasumoto, K. and Ito, M. Agent Oriented Self Adaptive Genetic Algorithm. Communications and computer networks (CCN). November 4-6, 2002 Cambridge, USA, pp. 348-353, (2002).
6. Weinberg, R. Computer simulation of a living cell. Dissertations Abstracts International, 31(9), 5312B, (1970).
7. Miki, M., Hiroyasu, K., Kaneko, M. and Hatanaka, I. A Parallel Genetic Algorithm with Distributed Environment Scheme. IEEE Proceedings of Systems, Man and Cybernetics Conference SMC'99, pp. 695-700, (1999).
8. De Jong, K A. An analysis of the behavior ofa class of genetic adaptive systems. Ph. D. University of Michigan, Ann Arbor, (1975).
9. F. G. Lobo. The Parameter-Less Genetic Algorithm :Rational and Automated Parameter Selection for Simplified Genetic Algorithm Operation. PhD thesis, University of Lisbon, Portugal, (2000).
10. Hinterding, R, Michalewicz, Z. and T. C. Peachey, R. Hinterding, Z. Michalewicz, and T. C. Peachey. Self- adaptive genetic algorithm for numeric functions. Pro-ceedings of the 4th Conference on Parallel Problem Solving from Nature, pp. 420-429, (1996).
11. Glicman, M. R. and Sycara, K. Reasons for Premature Convergence of Self-Adapting Mutation Rates. Proceedings of the Congress on Evolutionary Computation, pp. 62-69, (2000).
12. Goldberg, D. Sizing populations for serial and parallel genetic algorithms, In J. Davis Schaffer, editor, Proceedings of the Third International Conference on Genetic Algorithms, Morgan Kaufmann Publishers, pp. 70-79, (1989).
13. Goldberg, D, Deb, K. and Dirk, T. Toward a better understanding of mixing in genetic algorithms. Journal of the Society of Instrument and Control Engineers, 32(1 ):pp, 10-16, (1993).
14. Goldberg, D. and Deb, K. A comparative analysis of selection schemes used in genetic algorithms. In Gregory J.E. Rawlins, editor, Foundations of Genetic Algorithms, Morgan Kaufmann Publishers, pp. 69-93, (1991).
15. Tanese, R. Distributed Genetic Algorithms. In Pro-ceedings of the Third International Conference on Ge-netic Algorithms, pp. 434-439, (1989).
16. Tongchun, S. and Chongstitvatana, P. Parallel genetic algorithm with parameter adaptation, Information Processing Letters, Volume 82, Issue 1, pp. 47-54, (2002).
17. http://www.iwr.uni-heidelberg.de/groups/comopt/software/TSPLIB95/.
18. Maekawa, K., Mori, N., Tamaki, H., Kita, H. and Nishikawa, H. Genetic Solution for the Traveling Salesman Problem by Means of a Thermodynamical Selection Rule. Proceedings 1996 IEEE International Conference on Evolutionary Computation, pp.529-534, (1996).