• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 20 Issue 6
Dec.  2007
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Article Contents
LIN Chuan, FENG Quanyuan. Chaotic Particle Swarm Optimization Algorithm Based on the Essence of Particle Swarm[J]. Journal of Southwest Jiaotong University, 2007, 20(6): 665-669.
Citation: LIN Chuan, FENG Quanyuan. Chaotic Particle Swarm Optimization Algorithm Based on the Essence of Particle Swarm[J]. Journal of Southwest Jiaotong University, 2007, 20(6): 665-669.

Chaotic Particle Swarm Optimization Algorithm Based on the Essence of Particle Swarm

  • Received Date: 12 Jan 2007
  • Publish Date: 25 Dec 2007
  • A chaotic particle swarm optimization(CPSO) algorithm based on the essence of PSO was proposed,following an introduction to the studies on the essence of PSO algorithm.The new algorithm uses chaotic search rather than a random number generator to search a promising region.To increase the diversity,the globally best position in standard PSO algorithm is replaced by the center or weighted mean of the personal best positions of several particles in the same neighborhood.The radius of the chaotic searching region is then adaptively adjusted according to the distance between the personal best position of each particle and the center.Several benchmark functions were simulated with CPSO,and the results were compared with those obtained with some existing PSO algorithms.The comparison verifies the efficiency of CPSO.

     

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