摘要
介绍了基本粒子群算法,归纳了粒子群算法的研究现状和改进,包括:增加惯性因子的改进;基于收敛性分析的改进;导入其他演化算法思想的改进;建立非数值问题模型的改进。简要分析了PSO算法的应用。最后对PSO的研究现状做出总结和展望,提出未来的几个研究热点。
Particle swarm optimization algorithm is introduced. Development and improvement of the PSO such as inertia weight, convergence-based, evolutionary operator, new model for discrete problem are reviewed. Its applications are discussed. At last, the researeh of the PSO is summarized and future research issues are pointed out.
出处
《现代计算机》
2006年第11期12-15,共4页
Modern Computer
关键词
粒子群算法
群体智能
演化计算
Particle Swarm Optimization
Swarm lntelligerlce
Evolutionary Computation