粒子群优化算法综述

Survey of particle swarm optimization algorithm

为了进一步推广应用粒子群优化算法(PSO)并为深入研究该算法提供相关资料,在分析PSO基本原理和机制的基础上,从参数设置、收敛性、拓扑结构及与其它算法混合等方面对其发展历程和研究现状进行深入调查,论述了该算法的各种改进技术,并阐述了PSO在连续领域和离散领域的应用成果,最后对该算法未来发展趋势做出了展望。

In order to promote the applications of particle swarm optimization algorithm （PSO）, and provides the relevant information for the further research on this algorithm, a review on the recent progress of PSO is given. Based on the introduces of PSO＇s basic principles and mechanism, a thorough investigation on the research progress of PSO is given in aspects ofparameter setting, convergence characteristic, topology, hybrid algorithm, and the applications in continuous and discrete domains. Finally, the future research issues of the PSO are given.