設計情報に対する進化計算法の差異の影響

• 千葉 一永

  北海道工業大学大学院工学研究科

• 金崎 雅博

  首都大学東京大学院システムデザイン研究科

書誌事項

タイトル別名

• Influence of Difference among Evolutionary-Based Optimization Methods for Design Information

抄録

Design informatics, which is the efficient design methodology, has three points of view. The first is the efficient exploration in design space using evolutionary-based optimization methods. The second is the structurization and visualization of design space using data mining techniques. The third is the application to practical problems. In the present study, the influence of the difference among the seven pure and hybrid optimization methods for design information has been investigated in order to explain the selection manner of optimization methods for data mining. The practical problem of a single-stage hybrid rocket is picked up as the present design object. A functional analysis of variance and a self-organizing map are employed as data mining techniques in order to acquire the global design information in dasign space. As a result, mining result depends on not the number of generation (i.e. convergence) but the optimization methods (i.e. exploration space). Consequently, the optimization method with diversity performance is the beneficial selection in order to obtain the global design information in design space.

収録刊行物

• 進化計算学会論文誌

  進化計算学会論文誌 4 (1), 28-37, 2013

  進化計算学会

キーワード

• design informatics
• evolutionary-based optimization methods
• data mining
• large-scale practical problem

詳細情報

• CRID: 1390282680341570816
• NII論文ID: 130004566783
• DOI: 10.11394/tjpnsec.4.28
• ISSN: 21857385
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • CiNii Articles
  • KAKEN
• 抄録ライセンスフラグ: 使用不可