摘要
粒子群算法是近几年来迅速发展起来的,得到广泛应用的一种新型模拟进化优化算法.研究表明该算法具有简单易于实现,可调参数少等优良性质.对粒子群算法理论及其进展情况做了阐述,介绍了该算法在理论和实际问题中的应用,并对其前景进行了展望.
Particle swarm optimization is a new type of imitating evolution optimization algorithm that has rapidly developed and widely used these years.The researches show that it is easy implementation and few particle required to be tuned.It is summarized that theory and evolvement of particle swarm optimization and its application on the theoretic and practical problems in this paper and views of the prospects of particle swarm optimization is made.
出处
《哈尔滨商业大学学报（自然科学版）》
CAS
2010年第4期442-445,共4页
Journal of Harbin University of Commerce：Natural Sciences Edition
关键词
粒子群优化算法
群体智能
进化算法
particle swarm optimization
swarm intelligence
evolutionary algorithm
