論文

査読有り
2012年

Statistical Analysis Based Adjustment Method for Convergence Rate of Spiral Optimization

SWARM, EVOLUTIONARY, AND MEMETIC COMPUTING, (SEMCCO 2012)
  • Kenichi Tamura
  • ,
  • Keiichiro Yasuda

7677
開始ページ
653
終了ページ
661
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)
出版者・発行元
SPRINGER-VERLAG BERLIN

Recently, the authors proposed a new metaheuristics method for continuous optimization problems based on analogy of spiral phenomena in nature which is called Spiral Optimization. The Spiral Optimization has two setting parameters: the convergence rate r and the rotation angle.. However, any adjustment methods or policies for them has not been studied so far. This paper especially focuses on the convergence rate r and develops its adjustment method through statistically analyzing its properties. The effectiveness is verified from simulation results under some conditions.

リンク情報
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000350033200076&DestApp=WOS_CPL
ID情報
  • ISSN : 0302-9743
  • Web of Science ID : WOS:000350033200076

エクスポート
BibTeX RIS