Multimodal function optimization based on the survival of the fitness kind of the evolution strategy.

Junghoon Lee; Sangha Song; Yongju Yang; Hun Shim; Hyunsook Lee; Kyoungjoung Lee; Youngro Yoon

Multimodal function optimization based on the survival of the fitness kind of the evolution strategy.

Junghoon Lee^*, Sangha Song, Yongju Yang, Hun Shim, Hyunsook Lee, Kyoungjoung Lee, Youngro Yoon

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

Abstract

In this paper, a new algorithm for the multimodal function optimization is proposed, base on the concept of the survival of the fitness rule of evolution. The proposed algorithm has common criteria not to be invaded by each other. Thus, there is only one survivor in a partial solution space in which one optimal point locates. To verify the proposed algorithm, three multimodal functions--Alex function 5, six-hump camel back function, and Rastrigin's function--are tested.

Original language	English
Pages (from-to)	3164-3167
Number of pages	4
Journal	Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference
Publication status	Published - 2007

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Signal Processing
Biomedical Engineering
Health Informatics

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Multimodal function optimization based on the survival of the fitness kind of the evolution strategy. / Lee, Junghoon; Song, Sangha; Yang, Yongju et al.

In: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference, 2007, p. 3164-3167.

Research output: Contribution to journal › Article › peer-review

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AU - Lee, Kyoungjoung

AU - Yoon, Youngro

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Multimodal function optimization based on the survival of the fitness kind of the evolution strategy.

Abstract

ASJC Scopus subject areas

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