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author:

Huisheng, Shen (Huisheng, Shen.) [1] | Yanmin, Zhao (Yanmin, Zhao.) [2] (Scholars:赵彦敏)

Indexed by:

EI Scopus

Abstract:

The original PSO algorithms are disturbed by the 'curse of dimensionality', which concludes that their performance deteriorates as the dimensionality of the search space increase. This paper shows a variation on the original PSO algorithm, called improved cooperative particle swarm algorithm, or COPSO, employing cooperative behavior to significantly improve the performance of the original algorithm, and then we add a constriction factor to the CPSO to form an improved CPSO algorithm (ICPSO). Finally, the paper do the experiments on three classic functions, the result of the ICPSO algorithm, relatives to the classic PSO algorithm and the COPSO algorithm, shows the better optimization performance. © 2011 IEEE.

Keyword:

Behavioral research Particle swarm optimization (PSO)

Community:

  • [ 1 ] [Huisheng, Shen]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China
  • [ 2 ] [Yanmin, Zhao]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China

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Year: 2011

Page: 1040-1042

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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