Adaptive Particle Swarm Optimization via Velocity Feedback

• Iwasaki Nobuhiro

  Tokyo Metropolitan University

• Yasuda Keiichiro

  Tokyo Metropolitan University

Abstract

This paper describes an adaptive strategy for tuning the parameters of the PSO method based on an analysis of the dynamics of PSO. This adaptive tuning strategy is based on the results of an analysis of the dynamics of average velocity of the particles with successful search processes. The feasibility and advantages of the proposed adaptive PSO method are demonstrated through numerical simulations using a typical global optimization test problem.

Journal

• IEEJ Transactions on Electronics, Information and Systems

  IEEJ Transactions on Electronics, Information and Systems 125 (6), 987-988, 2005

  The Institute of Electrical Engineers of Japan

Keywords

• Global Optimization
• Meta-heuristics
• Particle Swarm Optimization
• Adaptive Search

Details

• CRID: 1390001204606237056
• NII Article ID: 10015672308
• NII Book ID: AN10065950
• DOI: 10.1541/ieejeiss.125.987
• ISSN: 13488155
• ISSN: 03854221
• Web Site: http://www.jstage.jst.go.jp/article/ieejeiss/125/6/125_6_987/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed