論文

査読有り
2016年

Novel Single-objective Optimization Problem and Firefly Algorithm-based Optimization Method

2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC)
  • Ryuta Oosumi
  • ,
  • Kenichi Tamura
  • ,
  • Keiichiro Yasuda

開始ページ
1011
終了ページ
1015
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
IEEE

This paper proposes a new formulation for single-objective optimization problems and a Firefly Algorithm (FA)-based optimization method for problem formulation. The formulated problem requires a set of solutions with approximately the same evaluation values and appropriate differences in relation to decision variables. In addition, the FA-based optimization method was developed based on an analysis of the FA search mechanism. Finally, the performance of the developed method is verified.

Web of Science ® 被引用回数 : 6

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:000402634700158&DestApp=WOS_CPL

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