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《Computer Engineering and Applications》 2007-10
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Particle swarm optimization using average information of swarm

SU Jin-rong1,LI Bing-yi2,WANG Xiao-kai1 1.School of Physical and Electronic Engineering,Shanxi University,Taiyuan 030006,China 2.Institute of Information and Communication Engineering,North University of China,Taiyuan 030051,China  
This paper introduces the average information of individuals' extreme value to the standard particle swarm optimization.This new method is tested with four functions and compared to another improved PSO.Experimental results indicate that the PSO put forward by this paper improves the search performance on precision,search speed and convergence rate.
【Fund】: 山西省软科学研究项目(No.051020-3)
【CateGory Index】: TP301.6
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