Optimum design using search agents

Tomoyuki Miyashita, Hiroshi Yamakawa

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

    1 Citation (Scopus)

    Abstract

    Many optimization methods and practical softwares have been developing for many years and most of them are very effective, especially to solve practical problems. But, non-linearity of objective functions and constraint functions, which have frequently seen in practical problems, has caused a difficulty in optimization. This difficulty mainly lies in the existence of several local optimum solutions. In this study, we have proposed a new global optimization methodology that provides an information exchange mechanism in the nearest neighbor method. We have developed a simple software system, which treated each design point in optimization as an agent. Many agents can search the optima simultaneously exchanging the their information. We have defined two roles of the agents. Local search agents have roles on searching local optima by such an existing method as the steepest decent method and so on. Stochastic search agents investigate the design space by making use of the information from other agents. Through simple and several structural optimization problems, we have confirmed the advantages of the method.

    Original languageEnglish
    Title of host publicationProceedings of the ASME Design Engineering Technical Conference
    Pages19-26
    Number of pages8
    Volume2
    Publication statusPublished - 2001
    Event2001 ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference - Pittsburgh, PA
    Duration: 2001 Sep 92001 Sep 12

    Other

    Other2001 ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference
    CityPittsburgh, PA
    Period01/9/901/9/12

    Fingerprint

    Structural optimization
    Global optimization
    Optimum design

    Keywords

    • Artificial Intelligence
    • Computer Aided Design
    • Multi Agents System
    • Optimum Design
    • Structural Analysis

    ASJC Scopus subject areas

    • Engineering(all)

    Cite this

    Miyashita, T., & Yamakawa, H. (2001). Optimum design using search agents. In Proceedings of the ASME Design Engineering Technical Conference (Vol. 2, pp. 19-26)

    Optimum design using search agents. / Miyashita, Tomoyuki; Yamakawa, Hiroshi.

    Proceedings of the ASME Design Engineering Technical Conference. Vol. 2 2001. p. 19-26.

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

    Miyashita, T & Yamakawa, H 2001, Optimum design using search agents. in Proceedings of the ASME Design Engineering Technical Conference. vol. 2, pp. 19-26, 2001 ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference, Pittsburgh, PA, 01/9/9.
    Miyashita T, Yamakawa H. Optimum design using search agents. In Proceedings of the ASME Design Engineering Technical Conference. Vol. 2. 2001. p. 19-26
    Miyashita, Tomoyuki ; Yamakawa, Hiroshi. / Optimum design using search agents. Proceedings of the ASME Design Engineering Technical Conference. Vol. 2 2001. pp. 19-26
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