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

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Citations (Scopus)

    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 languageEnglish
    Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
    Pages3164-3167
    Number of pages4
    DOIs
    Publication statusPublished - 2007
    Event29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07 - Lyon
    Duration: 2007 Aug 232007 Aug 26

    Other

    Other29th Annual International Conference of IEEE-EMBS, Engineering in Medicine and Biology Society, EMBC'07
    CityLyon
    Period07/8/2307/8/26

    ASJC Scopus subject areas

    • Biomedical Engineering

    Cite this

    Lee, J., Song, S., Yang, Y., Shim, H., Lee, H., Lee, K., & Yoon, Y. (2007). Multimodal function optimization based on the survival of the fitness kind of the evolution strategy. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (pp. 3164-3167). [4353001] https://doi.org/10.1109/IEMBS.2007.4353001