Cluster-Structured Particle Swarm Optimization with Interaction and Adaptation

• Yazawa Kazuyuki

  Tokyo Metropolitan University

• Tamura Kenichi

  Tokyo Metropolitan University

• Yasuda Keiichiro

  Tokyo Metropolitan University

• Motoki Makoto

  Kanto Gakuin University

• Ishigame Atsushi

  Osaka Prefecture University

Bibliographic Information

Other Title

• 相互作用と適応化を考慮したクラスタ構造型Ｐａｒｔｉｃｌｅ　Ｓｗａｒｍ　Ｏｐｔｉｍｉｚａｔｉｏｎ
• ソウゴ サヨウ ト テキオウカ オ コウリョ シタ クラスタ コウゾウガタ Particle Swarm Optimization

Abstract

Particle Swarm Optimization (PSO) is one of the most powerful methods for solving unconstrained and constrained global optimization problems. While a cluster-structured PSO with interaction and adaptation is proposed in this paper, the cluster structure, interaction and adaptation of the proposed PSO are analyzed through some numerical simulations. The feasibility and the advantage of the proposed cluster-structured PSO are demonstrated through numerical simulations using some typical global optimization test problems.

Journal

• IEEJ Transactions on Electronics, Information and Systems

  IEEJ Transactions on Electronics, Information and Systems 131 (5), 943-950, 2011

  The Institute of Electrical Engineers of Japan

Keywords

• Meta-heuristics
• Particle Swarm Optimization
• Cluster-Structure
• Interaction
• Adaptive Algorithm

Details

• CRID: 1390001204606841344
• NII Article ID: 10030526066
• NII Book ID: AN10065950
• DOI: 10.1541/ieejeiss.131.943
• ISSN: 13488155
• ISSN: 03854221
• NDL BIB ID: 11101571
• Web Site: http://id.ndl.go.jp/bib/11101571
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I11101571
• Web Site: http://www.jstage.jst.go.jp/article/ieejeiss/131/5/131_5_943/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed