动态系统中粒子群优化算法综述  

The Summarization of Particle Swarm Optimization Algorithm in Dynamic System

作　　者：刘秀梅 

机构地区：[1]畅博电子(上海)有限公司,上海200093

出　　处：《软件导刊》2016年第10期43-46,共4页Software Guide

摘　　要：粒子群算法是一种群智能随机优化算法,通过粒子间的合作与竞争,寻找优化问题极值,目前被广泛应用于动态优化问题的求解中。对动态系统中粒子群优化算法进行研究,介绍了粒子群算法基本原理、动态系统分类,以及两种动态优化问题的具体表达形式,并阐述了粒子群算法在动态系统中的3种优化方法及其应用。Particle swarm optimization algorithm is a random population intelligent optimization algorithm, searching optimization problem extrema through cooperation and competition between particles,which has been widely used in dynamic optimization problem. Here mainly introduces the basic principle of particle swarm optimization algorithm, the classification of the dynamic system, two kinds of dynamic optimization problems＇ specific expression, three kinds of optimization methods and application in dynamic system.

关 键 词：动态系统 粒子群算法 动态优化问题 优化算法 

分 类 号：TP312[自动化与计算机技术—计算机软件与理论]