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    Abstract:

    This paper gives advice on population size selection from literatures and analyzes the relations between population size, dimension, precision and stability. It proposes a method of population size selection. Two benchmark functions are employed to perform function optimization with different dimensions: 20, 60, 100 and 200. For each dimension, population size is set to 20, 40, 60 and 80. This paper analyzes the results and proposes a general population size. Furthermore, an approach based on experiments is proposed for population size selection. With the approach, a relation graph of population size, time and precision can be used to determine the optimum population size.

    Reference
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    2 Shi Y, Eberhart RC. Empirical Study of Particle Swarm Optimization. 1999 Congress on Evolutionary Com- puting, 1999, Vol. III: 1945-1950.
    3 Carlisle A, Dozier G. An Off-The-Shelf PSO. Proc. of the Workshop on Particle Swarm Optimization. 2001. 1-6.
    4 王维博,林川,郑永康. 粒子群算法中参数的实验与 分析.西华大学学报, 2008,27(1):76-80.
    5 刘志煌,杨宜民. PSO的惯性权重与种群大小选择. 计算机与现代化, 2007,(6):1-3.
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    7 Birge B. Psot-a particle swarm optimization for use with matlab. In SIS’03,Proceedings of the 2003 IEEE, Swarm Intelligence Symposium, April 2003. 182-186.
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张雯雰,王刚,朱朝晖,肖娟.粒子群优化算法种群规模的选择.计算机系统应用,2010,19(5):125-128

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History
  • Received:September 28,2009
  • Revised:November 08,2009
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