纺织高校基础科学学报2011，Vol.24Issue(3)：428-431,4.
一种改进的粒子群算法
An improved particle swarm optimization algorithm
摘要
Abstract
To overcome the particle swarm optimization algorithm to the local optima, an improved new algorithm is proposed by introducing the swarm behavior and disturbances. To show the optimization performances of the new algorithm,several benchmark functions are tested. The experimental results show that the new algorithm not only effectively solves the premature convergence problem,but also significantly speeds up the convergence.关键词
聚群/粒子群算法/扰动/惯性权重Key words
swarm behavior/ particle swarm optimization algorithm/ disturbances/ inertia weight分类
信息技术与安全科学引用本文复制引用
闫元元,高兴宝..一种改进的粒子群算法[J].纺织高校基础科学学报,2011,24(3):428-431,4.基金项目
国家自然科学基金资助项目(60671063 （）
10902062) （）
