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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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].

Original languageEnglish
Title of host publication21st International Conference on Production Research
Subtitle of host publicationInnovation in Product and Production, ICPR 2011 - Conference Proceedings
EditorsTobias Krause, Dieter Spath, Rolf Ilg
PublisherFraunhofer-Verlag
ISBN (Electronic)9783839602935
Publication statusPublished - 2011 Jan 1
Event21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011 - Stuttgart, Germany
Duration: 2011 Jul 312011 Aug 4

Publication series

Name21st 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
CountryGermany
CityStuttgart
Period11/7/3111/8/4

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Keywords

  • Improve PSO
  • Optimization
  • Particle Swam Optimization (PSO)
  • Rbest model

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Industrial and Manufacturing Engineering

Cite this

Choi, H., Ohmori, S., & Yoshimoto, K. (2011). Improvement of particle swarm optimization: Proposal of R-best model and parameter adjustment with consideration to searching phase and state. In T. Krause, D. Spath, & R. Ilg (Eds.), 21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011 - Conference Proceedings (21st International Conference on Production Research: Innovation in Product and Production, ICPR 2011 - Conference Proceedings). Fraunhofer-Verlag.