Computer Science ›› 2009, Vol. 36 ›› Issue (5): 220-222.

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QU Yan-wen ZHANG Er-hua YANG Jing-yu (School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing 210094,China)   

  • Online:2018-11-16 Published:2018-11-16

Abstract: Particle Swarm Optimization (PSO) uses a swarm of flying particles to search an optimal solution in the feasible region. PSO is easy to implement,and it appears high convergence speed in many applications. However,PSO has the problem of premature converge

Key words: Particle swarm optimization, Time varying coefficient, Social cognitive

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