Fitness landscape approximation by adaptive support vector regression with opposition-based learning

研究成果: 著書/レポートタイプへの貢献会議での発言

7 引用 (Scopus)

抄録

We propose a method for approximating a fitness landscape using adaptive support vector regression (SVR) with opposition based learning (OBL) to enhance the evolutionary search. This method tries to resolve the complexity of the fitness landscape in the original search space by designing a suitable kernel function with an adaptive parameter tuned by OBL; This kernel projects the original search space into a higher dimensional search space with a different topological structure. The elite is obtained from the approximated fitness landscape, using the adaptive SVR to accelerate the evolutionary computation (EC) search, and the individual with the worst fitness is replaced. The merits of the proposed method are evaluated by comparing it with the fitness landscape approximated in the original, in a lower and in a higher dimensional search space.

元の言語英語
ホスト出版物のタイトルProceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
ページ1329-1334
ページ数6
DOI
出版物ステータス出版済み - 12 1 2013
イベント2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 - Manchester, 英国
継続期間: 10 13 201310 16 2013

その他

その他2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
英国
Manchester
期間10/13/1310/16/13

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Evolutionary algorithms

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction

これを引用

Pei, Y., & Takagi, H. (2013). Fitness landscape approximation by adaptive support vector regression with opposition-based learning. : Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 (pp. 1329-1334). [6721983] https://doi.org/10.1109/SMC.2013.230

Fitness landscape approximation by adaptive support vector regression with opposition-based learning. / Pei, Yan; Takagi, Hideyuki.

Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013. 2013. p. 1329-1334 6721983.

研究成果: 著書/レポートタイプへの貢献会議での発言

Pei, Y & Takagi, H 2013, Fitness landscape approximation by adaptive support vector regression with opposition-based learning. : Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013., 6721983, pp. 1329-1334, 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, Manchester, 英国, 10/13/13. https://doi.org/10.1109/SMC.2013.230
Pei Y, Takagi H. Fitness landscape approximation by adaptive support vector regression with opposition-based learning. : Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013. 2013. p. 1329-1334. 6721983 https://doi.org/10.1109/SMC.2013.230
Pei, Yan ; Takagi, Hideyuki. / Fitness landscape approximation by adaptive support vector regression with opposition-based learning. Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013. 2013. pp. 1329-1334
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