Research and Analysis of Particle Swarm Optimization Algorithm

摘要：

Particle swarm optimization (PSO) algorithm is a kind of new evolutionary computation technology. The algorithm completes the iterative process through following the personal best solution and the global best value. The basic principle of PSO is introduced at first. Then several typical improved algorithms of PSO are introduced and they were analyzed and compared by simulation experiment Finally, future research issues are given.

作者: Jin Wang Qiuming Zhang Bo Huang

作者单位: Department of Computer Science and Technology, China University of Geosciences, Wuhan 430074,China Department of Computer Science and Technology, China University of Geosciences.Wuhan 430074,China

会议类型: 国际会议

会议名称: Third International Symposium on Intelligence Computation and Applications(ISICA 2008)(第三届智能自动化、计算与制造国际研讨会)

会议地点: 武汉

会议语种:英文

页码: 302-305

在线出版日期: 2008-12-19（万方平台首次上网日期，不代表论文的发表时间）