Unified multidisciplinary optimum design method using genetic algorithms

Hiroshi Yamakawa

    研究成果: Conference contribution

    2 被引用数 (Scopus)

    抄録

    Multidisciplinary optimum designs have been of strong interest lately in many fields. A unified multidisciplinary optimum design method by utilizing the genetic algorithms is presented in this study. The design process is modeled there by a distributed hierarchical system to simulate ordinary design processes. Each level is optimized by genetic algorithms somewhat independently but some information is transmitted to the upper or the lower level. Engineering analysis can also be involved in a certain level. The proposed method is then applied to simple examples of preliminary designs of cars and numerical results show the effectiveness of the method.

    本文言語English
    ホスト出版物のタイトルAmerican Society of Mechanical Engineers, Design Engineering Division (Publication) DE
    Place of PublicationNew York, NY, United States
    出版社ASME
    ページ329-334
    ページ数6
    69-2
    出版ステータスPublished - 1994
    イベントProceedings of the 1994 ASME Design Technical Conferences. Part 1 (of 2) - Minneapolis, MN, USA
    継続期間: 1994 9 111994 9 14

    Other

    OtherProceedings of the 1994 ASME Design Technical Conferences. Part 1 (of 2)
    CityMinneapolis, MN, USA
    Period94/9/1194/9/14

    ASJC Scopus subject areas

    • 工学(全般)

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