摘要
粒子群优化算法(简称粒子群算法,PSO)是一种新兴的基于群体智能的启发式全局搜索算法,该算法概念简明、实现方便,收敛速度快、参数设置少,易编程,近年来受到学术界的广泛研究和应用。本文首先介绍PSO的基本原理和工作机制,然后着重就该算法研究的改进及应用进行阐述,最后对该算法的发展趋势进行展望。
Particle swarm optimization algorithm (referred to as the particle swarm algorithm, PSO) is a new heuristic algorithm for global based on swarm intelligence, the algorithm simple concept, easy implementation, fast convergence speed, fewer parameter, easy programming, widely in recent years of academic research and application research. This paper first introduces the basic principle and working mechanism of PSO, then focuses on the improvement and application of this algorithm are explained, at last the prospect of the development trend of the algorithm.
出处
《软件》
2014年第4期73-77,共5页
Software
基金
福建省教育厅A类科技项目(JA12380)
