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《Computer Engineering and Applications》 2007-09
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Study on convergence analysis and parameter choice of Particle Swarm Optimization

LIU Xiao-feng,CHEN Tong School of Management,Tianjin University,Tianjin 300072,China  
Particle Swarm Optimization(PSO) is an optimization algorithm based on population invented by Eberhart and Kennedy.Up to this day,there are many articles regarding PSO.However,the systemic and profound research and analysis of convergence of the algorithm is rare,and there are only some limited researches focusing on the convergence of one-dimension-domain problem.Therefore this article aims at studying the convergence of the Particle Swarm Optimization in multiple-dimension-domain problem,looking forward to seeking better parameters to carry out the algorithm.
【Fund】: 国家自然科学基金(the National Natural Science Foundation of China under Grant No.70572043)。
【CateGory Index】: TP301.6
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