Use of local ranking in cellular genetic algorithms with two neighborhood structures

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5361 LNAI, Issue , 2008, Pages 309-318

  Ishibuchi, Hisao ^a   Tsukamoto, Noritaka ^a   Nojima, Yusuke ^a  

^a Osaka Prefecture University   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

GENETIC ALGORITHMS; HEALTH; PRINTED CIRCUIT BOARDS;

CELLULAR GENETIC ALGORITHMS; COMPUTATIONAL EXPERIMENTS; FITNESS VALUES; NEIGHBORHOOD STRUCTURES; NEIGHBORING CELLS; PARENT SELECTIONS;

DIESEL ENGINES;

EID: 58349101392     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-89694-4_32     Document Type: Conference Paper

References (15)

1. Gorges-Schleuter, M.: ASPARAGOS: An Asynchronous Parallel Genetic Optimization Strategy. In: Proc. of 3rd International Conference on Genetic Algorithms, pp. 422-427 (1989)
2. Manderick, B., Spiessens, P.: Fine-Grained Parallel Genetic Algorithms. In: Proc. of 3rd International Conference on Genetic Algorithms, pp. 428-433 (1989)
3. Spiessens, P., Manderick, B.: A Massively Parallel Genetic Algorithm: Implementation and First Analysis. In: Proc. of 4th International Conference on Genetic Algorithms, pp. 279-286 (1991)
4. Whitley, D.: Cellular Genetic Algorithms. In: Proc. of 5th International Conference on Genetic Algorithms, p. 658 (1993)
5. Alba, E., Dorronsoro, B.: The Exploration/Exploitation Tradeoff in Dynamic Cellular Genetic Algorithms. IEEE Trans. on Evolutionary Computation 9, 126-142 (2005)
6. Alba, E., Tomassini, M.: Parallelism and Evolutionary Algorithms. IEEE Trans. on Evolutionary Computation 6, 443-462 (2002)
7. Cantu-Paz, E.: Efficient and Accurate Parallel Genetic Algorithms. Springer, Berlin (2000) 8. Giacobini, M., Tomassini, M., Tettamanzi, A.G.B., Alba, E.: Selection Intensity in Cellular Evolutionary Algorithms for Regular Lattices. IEEE Trans. on Evolutionary Computation 9, 489-505 (2005)
8. Slatkin, M., Wilson, D.S.: Coevolution in Structured Demes. Proc. of National Academy of Sciences 76, 2084-2087 (1979)
9. Wilson, D.S.: Structured Demes and the Evolution of Group-Advantageous Traits. The American Naturalist 111, 157-185 (1977)
10. Wilson, D.S.: Structured Demes and Trait-Group Variation. The American Naturalist 113, 606-610 (1979)
11. Ifti, M., Killingback, T., Doebelic, M.: Effects of Neighborhood Size and Connectivity on the Spatial Continuous Prisoner's Dilemma. Journal of Theoretical Biology 231, 97-106 (2004)
12. Ishibuchi, H., Namikawa, N.: Evolution of Iterated Prisoner's Dilemma Game Strategies in Structured Demes under Random Pairing in Game Playing. IEEE Trans. on Evolutionary Computation 9, 552-561 (2005)
13. Ishibuchi, H., Doi, T., Nojima, Y.: Effects of Using Two Neighborhood Structures in Cellular Genetic Algorithms for Function Optimization. In: Runarsson, T.P., Beyer, H.-G., Burke, E.K., Merelo-Guervós, JJ., Whitley, L.D., Yao, X. (eds.) PPSN 2006. LNCS, vol. 4193, pp. 949-958. Springer, Heidelberg (2006)
14. Ishibuchi, H., Tsukamoto, N., Nojima, Y.: Examining the Effect of Elitism in Cellular Genetic Algorithms using Two Neighborhood Structures. In: Rudolph, G., Jansen, T., Lucas, S., Poloni, C., Beume, N. (eds.) PPSN 2008. LNCS, vol. 5199. Springer, Heidelberg (2008)
15. Zitzler, E., Thiele, L.: Multiobjective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach. IEEE Trans. on Evolutionary Computation 3, 257-271 (1999)