論文

査読有り
2005年6月

BMI optimization based on unimodal normal distribution crossover GA with relaxed LMI convex estimation

ACC: PROCEEDINGS OF THE 2005 AMERICAN CONTROL CONFERENCE, VOLS 1-7
  • M Kawanishi
  • ,
  • Y Ikuyama

2005
4
開始ページ
2299
終了ページ
2304
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/ACC.2005.1470312
出版者・発行元
IEEE

This paper deals with the global optimization of the BMIEP(Bilinear Matrix Inequalities Eigenvalue Problem) based on the UNDX(Unimodal Normal Distribution Crossover) GA. First, analyzing the structure of the BMIEP, the existence of the typical difficult structures is confirmed. Then, based on the results of the problem structures analysis and the consideration of the BMIEP characteristic properties, an efficient UNDX GA algorithm with LMI convex estimation is proposed. The effectiveness of the proposed algorithm is evaluated by several numerical examples.

Web of Science ® 被引用回数 : 1

リンク情報
DOI
https://doi.org/10.1109/ACC.2005.1470312
J-GLOBAL
https://jglobal.jst.go.jp/detail?JGLOBAL_ID=200902203933203123
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000231947703010&DestApp=WOS_CPL
URL
http://ieeexplore.ieee.org/document/1470312/

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