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《Control and Decision》 2003-02
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Overview of particle swarm optimization

XIE Xiao-feng, ZHANG Wen-jun, YANG Zhi-lian(Institute of Microelectronics, Tsinghua University, Beijing 100084, China)  
The developments and applications related to particle swarm optimization (PSO) are discussed . Firstly, developments in the particle swarm optimization since 1995 are reviewed. Then parameter settings are analyzed systematically according to some existed testing results. Some improvement methods, such as cluster analysis, selection, neighborhood operator, no-hope/re-hope method, etc., are discussed. Some common test functions and the comparisons between PSO and others evolutionary algorithms are introduced. Finally, applications, both in the developed areas and the promising future application areas, are reviewed.
【CateGory Index】: TP301.6
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Chinese Journal Full-text Database 10 Hits
1 Wang Liang1,2,3,Hu Jingtao1(1.Key Laboratory of Industrial Informatics,Shenyang Institute of Automation,Chinese Academy of Sciences, Shenyang 110016,China;2.Graduate School of the Chinese Academy of Sciences,Beijing 100039,China; 3.Shenyang University of Chemical Technology,Shenyang 110142,China);Neural Network Based Intelligent R2R Predictive Control to CMP Process[J];Semiconductor Technology;2012-04
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6 Lu Sixin,Xiao Jianmei,Wang Xihuai Shanghai Maritime University,Shanghai 200135,P.R.China;Network Reconfiguration of Shipboard Power System Based on Improved Differential Evolution[A];[C];2010
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