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

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    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.

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    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition
    • Signal Processing
    • Biomedical Engineering
    • Health Informatics

    Cite this

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    title = "Multimodal function optimization based on the survival of the fitness kind of the evolution strategy.",
    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.",
    author = "Junghoon Lee and Sangha Song and Yongju Yang and Hun Shim and Hyunsook Lee and Kyoungjoung Lee and Youngro Yoon",
    year = "2007",
    language = "English",
    pages = "3164--3167",
    journal = "Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference",
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    publisher = "Institute of Electrical and Electronics Engineers Inc.",

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    AU - Song, Sangha

    AU - Yang, Yongju

    AU - Shim, Hun

    AU - Lee, Hyunsook

    AU - Lee, Kyoungjoung

    AU - Yoon, Youngro

    PY - 2007

    Y1 - 2007

    N2 - 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.

    AB - 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.

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    JF - Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference

    SN - 1557-170X

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