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《Application Research of Computers》 2006-04
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A Multi Sub-population Particle Swarm Optimizer Based on Clustering

GAO Ying~(1,2),XIE Sheng-li~2,XU Ruo-ning~1,LI Zhao-hui~1 (1.Dept.of Computer Science & Technology,Guangzhou University,Guangzhou Guangdong 510405,China;2.College of Electronic & Information Engineering,South China University of Technology,Guangzhou Guangdong 510641,China)  
On the basis of the particle swarm optimizer,A cluster-based particle swarm optimizer is proposed.In the proposed algorithm,the current particles is first divided into multi sub-population by clustering.Then,the current particles is updated by the personal best particle and gobal best particles in the sub-populations.The proposed algorithm exchanged and uses more particles' information,thus improves convergence performance.The experiment results demonstrate that the proposed algorithm is superior to original particle swarm optimization algorithm.
【Fund】: 中国博士后科学基金资助项目(2003034062);; 广东省自然科学基金博士科研启动基金(04300015);; 广州市科技计划项目(2004J1-C0323);; 广州市属高校科技计划资助项目(2055)
【CateGory Index】: TP18
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3 WANG Jian-lin,XUE Yao-yu,YU Tao,MA Jiang-ning(College of Information Science and Technology,Beijing University of Chemical Technology,Beijing 100029,China. );Particle swarm optimization based on swarm energy conservation[J];Control and Decision;2010-02
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1 $YI Han-ping1, PU Chao2 (1. College of Automation, University of Electronic Science & Technology of China, Chengdu 610054, China; 2. College of Photoeletricity Technology, University of Electronic Science & Technology of China, Chengdu 610054, China);Multi-Population Parallel Genetic Algorithm for Parametric Optimization in No-Linear System[J];Ordnance Industry Automation;2005-04
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3 GAO Li-qun1,REN Ping2,LI Nan3(1.School of Information Science & Engineering,Northeastern University,Shenyang 110004,China;2.School of Information Technology & Management Engineering,Shenyang University,Shenyang 110044,China;3.Department of Science and Technology,Shenyang University,Shenyang 110044,China.);Optimal Scheduling Based on CPSO for High-Speed Passenger Trains[J];Journal of Northeastern University(Natural Science);2007-02
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1 LIN Quan1,ZHU Yuan-hai1,YE Ji-xiang2(1.School of Computer and Communication Engineering,Changsha University of Science & Technology,Changsha 410076,China;2.College of Information Science and Engineering,Central South University,Changsha 410083,China);Research on projection pursuit classification model based on particle swarm optimization algorithm[J];Journal of Changsha Communications University;2008-02
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