Cluster-Structured Adaptive Particle Swarm Optimization

• Yazawa Kazuyuki

  Tokyo Metropolitan University

• Motoki Makoto

  Kanto Gakuin University

• Ishigame Atsushi

  Osaka Prefecture University

• Yasuda Keiichiro

  Tokyo Metropolitan University

Bibliographic Information

Other Title

• 適応化を考慮したクラスタ構造型Ｐａｒｔｉｃｌｅ　Ｓｗａｒｍ　Ｏｐｔｉｍｉｚａｔｉｏｎ

Abstract

A new cluster-structured Particle Swarm Optimization (PSO) with interaction and diversity of parameters is proposed in this letter. After a swarm of PSO is divided into some sub-swarms (clusters), interactions between sub-swarms and diversity of PSO parameters are added so as to improve the search ability of PSO in the proposed cluster-structured PSO. The feasibility and the advantage of the proposed cluster-structured PSO are demonstrated through numerical simulations using two typical optimization test problems.

Journal

• IEEJ Transactions on Electronics, Information and Systems

  IEEJ Transactions on Electronics, Information and Systems 130 (4), 723-724, 2010

  The Institute of Electrical Engineers of Japan

Keywords

• Optimization
• Swarm Intelligence
• Particle Swarm Optimization
• Adaptive Algorithm
• Cluster-Structure

Details

• CRID: 1390001204609533824
• NII Article ID: 10026228862
• NII Book ID: AN10065950
• DOI: 10.1541/ieejeiss.130.723
• ISSN: 13488155
• ISSN: 03854221
• Web Site: http://www.jstage.jst.go.jp/article/ieejeiss/130/4/130_4_723/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed