Crossover Particle Swarm Optimization for Vehicle Routing Problem with Time Windows

摘要：

Particle swarm optimization is introduced to deal with the vehicle routing problem with time windows (VRPTW). According to the model of VRPTW and the traits of particle swarm optimization, the crossover particle swarm optimization by combining the ideal of the genetic algorithm is set up. Experimental results indicate that the crossover particle swarm optimization can get optimal resolution of VRPTW effectively and quickly.

关键词： vehicle routing problem time windows particle swarm optimization

作者: Fang WANG QizongWU

作者单位: School of Management and Economics,Beijing Institute of Technology,Beijing 100081,China

会议类型: 国际会议

会议名称: 2008 International Conference on Risk and Relianility Management(2008风险与可靠性管理国际会议)

会议地点: 北京

会议语种:英文

页码: 899-904

在线出版日期: 2008-11-10（万方平台首次上网日期，不代表论文的发表时间）