微粒群优化算法  

Particle Swarm Optimization Algorithm

作　　者：陈国初[1] 俞金寿[1] 

机构地区：[1]华东理工大学自动化研究所,上海200237

出　　处：《信息与控制》2005年第3期318-324,共7页Information and Control

基　　金：教育部博士点专项基金资助项目(20030251003)

摘　　要：介绍了微粒群优化(PSO)算法的原理、算法流程、算法参数及其对算法性能的影响.讨论了各种改进的PSO算法.分析了多相微粒群优化算法(MPPSO)的原理、算法方程、算法参数及其对算法性能的影响.最后归纳了PSO算法的应用概况,并就PSO算法进一步的研究工作进行了探讨和展望.This paper introduces and analyzes systematically t he principle, process and parameters of particle swarm optimization (PSO) algori thm, and their influence on optimization performance of PSO. Various improved pa rticle swarm optimization algorithms are discussed. The algorithm principle and algorithm parameters of multi-phase particle swarm optimization (MPPSO) algorit hm, and their influence on optimization performance of MPPSO are analyzed. At la st, applications of PSO algorithm are discussed, and further research issues and some suggestions are given.

关 键 词：进化计算 微粒群优化算法 多相微粒群优化算法 优化 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]