Unified multidisciplinary optimum design method using genetic algorithms

Hiroshi Yamakawa*

*Corresponding author for this work

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

    2 Citations (Scopus)


    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
    Number of pages6
    Publication statusPublished - 1994
    EventProceedings of the 1994 ASME Design Technical Conferences. Part 1 (of 2) - Minneapolis, MN, USA
    Duration: 1994 Sept 111994 Sept 14


    OtherProceedings of the 1994 ASME Design Technical Conferences. Part 1 (of 2)
    CityMinneapolis, MN, USA

    ASJC Scopus subject areas

    • Engineering(all)


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