Multiobjective optimization using adaptive range genetic algorithms with data envelopment analysis

Masao Arakawa, Hirotaka Nakayama, Ichiro Hagiwara, Hiroshi Yamakawa

    研究成果: Conference contribution

    24 被引用数 (Scopus)

    抄録

    The present paper describe an implementation of the adaptive range genetic algorithms (ARange GAs) in multi-objective optimization by using the data envelopment analysis (DEA). ARange GAs is a new genetic search algorithms which adapt the searching range according to the optimization situation and make it possible to obtain highly accurate results effectively. DEA is to measure the efficiency of decision making units, and it is used mainly in the field of economy. When we combine both methods, we can obtain a great number of Pareto solutions, that might give an important aspect of the design, within a single GAs process effectively. The purpose of this study is to verify the characteristics and effectiveness of the proposed method through demonstrative examples.

    本文言語English
    ホスト出版物のタイトル7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization
    出版社American Institute of Aeronautics and Astronautics Inc, AIAA
    ページ2074-2082
    ページ数9
    出版ステータスPublished - 1998
    イベント7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, 1998 - St. Louis, United States
    継続期間: 1998 9 21998 9 4

    Other

    Other7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, 1998
    国/地域United States
    CitySt. Louis
    Period98/9/298/9/4

    ASJC Scopus subject areas

    • 航空宇宙工学
    • 機械工学

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