微粒群优化算法是一种新兴的基于群体智能的随机优化算法。该算法概念简单、易于实现,已得到了广泛的研究和应用。文中介绍了PSO的基本原理、算法流程及各种改进算法,然后归纳了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。
Particle swarm optimization (PSO) algorithm is a new stochastic optimization technique based on swarm intelligence. It has the advantages of simple concept and easy realization, So it is especially popular in engineering application and research fields. This paper introduces and analyzes systematically the principle, process and various improved algorithms. At last, applications of PSO algorithm are summed up, and further research issues and some suggestions are given.