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《Journal of Chongqing Institute of Technology》 2005-08
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On the Optimization of Particle Swarm with Mutation Operator

LIU Chun-an,Chen Yi-hu(Department of Math., Baoji College of Arts and Science, Baoji 721007,China)  
This paper presents a new mutation operator particle swarm optimization (MOPSO).By adding the mutation operator to the algorithm in the later phase of convergence, this algorithm improves the ability of particle swarm optimization (PSO) algorithm to break away from the local optimum solutions effectively, makes the PSO algorithm not only escape from the possibility of getting into local minimum's basin of attraction at the later phase, but also maintain the advantages of fast searching speed in the early convergence phase.
【Fund】: 国家自然科学基金项目资助(60374063);; 宝鸡文理学院院级科研计划项目(JK2439);; 宝鸡文理学院中青年科研计划项目(QK2407).
【CateGory Index】: TP18
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4 WANG Qiu-shi,QI Han-bing,WANG Mei-wei(College of Civil and Architecture Engineering,Northeast Petroleum University,Daqing 163318,China);Layout Optimization of the Star Oilfield Water Injection Network[J];Energy Conservation Technology;2013-04
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