Unified multidisciplinary optimum design method using genetic algorithms

Hiroshi Yamakawa

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

    Abstract

    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.

    Original languageEnglish
    Title of host publicationAmerican Society of Mechanical Engineers, Design Engineering Division (Publication) DE
    Place of PublicationNew York, NY, United States
    PublisherASME
    Pages329-334
    Number of pages6
    Volume69-2
    Publication statusPublished - 1994
    EventProceedings of the 1994 ASME Design Technical Conferences. Part 1 (of 2) - Minneapolis, MN, USA
    Duration: 1994 Sep 111994 Sep 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

    • Engineering(all)

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  • Cite this

    Yamakawa, H. (1994). Unified multidisciplinary optimum design method using genetic algorithms. In American Society of Mechanical Engineers, Design Engineering Division (Publication) DE (Vol. 69-2, pp. 329-334). ASME.