Research on Particle Swarm Optimization Algorithm in Route Selection of Power Communication

摘要：

Particle swarm optimization (PSO) is a new type of evolutionary computation. This paper describes the basic principle of PSO algorithm. Then discusses and studies the influence factors of the inertia weight and the ability of optimization through some experiments. Finally, apply the improved PSO in electric power communication route selection; introduce the random inertia weight and the discrete idea into the routing model. And a practical example is given to testify the feasibility and efficiency of PSO in solving power communication routing problems.

关键词： particle swarm optimization algorithm (PSO) inertia weigh power communication network routing selection

作者: Sizu Hou Ying Chen Yanhong Jian

作者单位: Electronic and Communication Engineering North China Electric Power University Baoding, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 257-260

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）