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Cluster-Degree Analysis and Velocity Compensation Strategy of PSO

  • Quansheng Dou
  • Zhijun Yu
  • Zhongzhi Shi
  • Erkeng Yu
  • Yongzhi Zheng
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5370)

Abstract

The particle’s trajectory in particle swarm was fully analyzed in this paper, the theorem about necessary condition of convergence property of PSO was proposed by solve difference equation. Based on this theorem, discussed the influence of random parameters on particle’s trajectory, the concept of cluster-degree was put forward and distribute status of particle with different cluster-degree was studied. The reasonable parameters setting range based on cluster-degree was proposed, at the same time, velocity compensation of particle’s velocity was proposed in order to improving performance of PSO. So this paper is helpful for the choosing and adjustment of PSO parameters in practical application.

Keywords

particle swarm optimization convergence property cluster-degree 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Quansheng Dou
    • 1
    • 2
    • 3
  • Zhijun Yu
    • 4
  • Zhongzhi Shi
    • 1
  • Erkeng Yu
    • 3
  • Yongzhi Zheng
    • 3
  1. 1.School of Computer Science and TechnologyShandong Institute of Business and TechnologyYantaiChina
  2. 2.Key Laboratory of Intelligent Information Processing, Institute of Computing TechnologyChinese Academy of SciencesBeijingChina
  3. 3.Yantai Dongfang Electronics Information Industry Group Co, LtdYantaiChina
  4. 4.School of NursingBinzhou Medical UniversityYantaiChina

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