微型机与应用Issue(15)：72-75,4.
一种改进的多群协作粒子群优化算法
A modified multi-swarm cooperative particle swarm optimizer
摘要
Abstract
A modified multi-swarm cooperative particle swarm optimizer is proposed. The whole population is divided into a master swarm and several slave swarms. So as to avoid the repeated search multiple particle swarm phenomenon , this algorithm initializes particles of slave swarms uniformly. Meanwhile this algorithm adopts a perturbation strategy. Namely , just reset the particle′s velocity for escaping from local minimum, when the current global optimal solution remaines unchanged in the disturbance factor′s iterative cycle. This algorithm not only increases the diversity of population to expand the search scope , but also improves the defects of the whole population easily being fall into local minimum value. The experimental results indicate that IMCPSO has better superiority than MCPSO and PSO by testing 9 benchmark functions.关键词
多群协作/粒子群优化/函数优化Key words
multi-swarm cooperative/particle swarm optimization/function optimization分类
信息技术与安全科学引用本文复制引用
单攀攀,高晓智,孟献兵..一种改进的多群协作粒子群优化算法[J].微型机与应用,2014,(15):72-75,4.基金项目
芬兰科学院基金项目（135225）；上海海事大学研究生创新基金项目 （）
