含边界变异的粒子群算法

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Journal of Wuhan University of Technology ›› 2005, Vol. 27 ›› Issue (9) : 101-103.
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Abstract

A PSO with Bounded Mutation OperatorFU Guo-jiang~(1,2),WANG Shao-mei~2,LIU Shu-yan~3,LI Ning~1(1.School of Computer Science and Technology,Wuhan University of Technology,Wuhan 430070,China;2.School of Logistics Engineering,Wuhan University of Technology,Wuhan 430063,China;3.School of Management,Wuhan University of Technology,Wuhan 430063,China)A new particle swarm optimization (PSO), PSO with bounded mutation operator, was developed. In contrast to the original PSO, in this algorithm, PSO with bounded mutation operator would make the particles redistributed equably close to boundary when place of particle exceeds feasible region during iteration. The particles would be redistributed equably in whole feasible region when speed of particle exceeds feasible region. PSO with bounded mutation operator could achieve faster speed of optimization and better precision of optimization, which was proved by the theory and experimental methods.PSO; bounded mutation; optimization

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