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《Journal of Gansu Lianhe University(Natural Science Edition)》 2008-01
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Particle Swarm Optimization Algorithm with Swarm Average Information and Keeping Activity Strategy

LI Hui-rong1,2,LI Ji-min1,GAO Yue-lin1(1.Research Institute of Information & System Science,North National University,Yinchuan 750021,China;2.Department of Mathematics,Shangluo College,Shangluo 726100,China)  
This paper tries to improve particle swarm optimization(PSO) performance that making use of the average information of swarm and keeping active strategy,then proposes a kind of particle swarm optimization algorithm with the average information of swarm and keeping active strategy(BPSO),BPSO is better in global searching and performance than PSO by real example simulation for classical optimization problems.
【Fund】: 国家民委科研项目基金资助(05XBE05);; 宁夏高等学校科研项目资助(2007)
【CateGory Index】: TP18
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