A penalty approach to handle inequality constraints in particle swarm optimization

Kazuaki Masuda, Kenzo Kurihara, Eitaro Aiyoshi

研究成果: Conference contribution

19 被引用数 (Scopus)

抄録

This paper proposes a penalty method for solving nonlinear optimization problems with inequalities by the particle swarm optimization (PSO) algorithm. The proposed method is not only very simple but also useful. One should only search for the global solution of a series of unconstrained minimization problems simply by a standard PSO algorithm. It does not require to check the feasibility of search points during the search. Moreover, it is shown that the global best solution gets feasible as the penalty parameter is increased to a sufficiently but finitely large value. The proposed method is verified by numerical experiments to famous benchmark problems.

本文言語English
ホスト出版物のタイトル2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010
ページ2520-2525
ページ数6
DOI
出版ステータスPublished - 2010
イベント2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010 - Istanbul, Turkey
継続期間: 2010 10月 102010 10月 13

出版物シリーズ

名前Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN(印刷版)1062-922X

Other

Other2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010
国/地域Turkey
CityIstanbul
Period10/10/1010/10/13

ASJC Scopus subject areas

  • 電子工学および電気工学
  • 制御およびシステム工学
  • 人間とコンピュータの相互作用

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