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.
出处
《软件导刊》
2016年第10期43-46,共4页
Software Guide
关键词
动态系统
粒子群算法
动态优化问题
优化算法
Particle Swarm Optimization
Dynamic Optimization Problem
Dynamic System
Optimization Method
