Improvement of particle swarm optimization: Proposal of R-best model and parameter adjustment with consideration to searching phase and state

Hanyong Choi, Shunichi Ohmori, Kazuho Yoshimoto

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

In this paper, the improvement of Particle Swam Optimization (PSO) is proposed. PSO is algorithm created by mimicking the food-seeking behavior of swarm of organisms, such as birds and fish. In recent years, PSO is drawing much attention as one of the evolutionary computation methods to obtain the approximate optimal solution for the continuous optimization problem with multi-peak objective function. But, one of the major weaknesses of PSO is trapped into local optima. To overcome this weakness, this paper proposes the new strategy of information sharing called Rbest model and the parameter adjustment with consideration to searching phase and state (Application of the mutation concept). Then, in the computational experiment, the benchmark problems are tested in order to validate the effectiveness of proposed method (2n-minima: 61% improvement from the original PSO, Rastrigin: 8% improvement from the AFPSO) [14] [15].

本文言語English
ホスト出版物のタイトル21st International Conference on Production Research
ホスト出版物のサブタイトルInnovation in Product and Production, ICPR 2011 - Conference Proceedings
編集者Tobias Krause, Dieter Spath, Rolf Ilg
出版社Fraunhofer-Verlag
ISBN(電子版)9783839602935
出版ステータスPublished - 2011 1月 1
イベント21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011 - Stuttgart, Germany
継続期間: 2011 7月 312011 8月 4

出版物シリーズ

名前21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011 - Conference Proceedings

Other

Other21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011
国/地域Germany
CityStuttgart
Period11/7/3111/8/4

ASJC Scopus subject areas

  • 制御およびシステム工学
  • コンピュータ サイエンスの応用
  • 産業および生産工学

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