摘要
分析了粒子群算法的惯性部分、个体认知部分和群体认知部分的作用,对粒子群算法迭代方程的各部分进行变形,获得了三种新形式的粒子群算法。用算例说明所得到的三个新的粒子群算法具有较好的优化能力。
The functions of inertance part, individual perception part and population perception part about the particle swarm optimization algorithm are analysed. Every part of the iterative equations about the particle swarm optimization algorithm is transformed. Three new particle swarm optimization algorithms are obtained. The three new algorithms possess preferable optimization abilities which are illustrated by examples.
出处
《计算机工程与应用》
CSCD
北大核心
2015年第5期23-26,共4页
Computer Engineering and Applications
基金
中央高校基本科研业务费专项资金(No.2682013CX037)
关键词
粒子群优化算法
公式变形
最优化
particle swarm optimization algorithm
transformation formula
optimization
