Optimum design using search agents

Tomoyuki Miyashita*, Hiroshi Yamakawa

*この研究の対応する著者

研究成果: Paper査読

1 被引用数 (Scopus)

抄録

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.

本文言語English
ページ19-26
ページ数8
出版ステータスPublished - 2001
イベント2001 ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference - Pittsburgh, PA, United States
継続期間: 2001 9月 92001 9月 12

Conference

Conference2001 ASME Design Engineering Technical Conference and Computers and Information in Engineering Conference
国/地域United States
CityPittsburgh, PA
Period01/9/901/9/12

ASJC Scopus subject areas

  • モデリングとシミュレーション
  • 機械工学
  • コンピュータ サイエンスの応用
  • コンピュータ グラフィックスおよびコンピュータ支援設計

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