A Bee Evolutionary Particle Swarm Optimization Algorithm for Vehicle Routing Problem

摘要：

For vehicle routing problem (VRP), an algorithm based on bee evolutionary particle swarm (BEPSO) was presented and applied to VRP. In this algorithm, the best particle which was regarded as queen cross with selected drones in a random probability, enhancing application ability of the best individuals information. At the same time, some drones were randomly generated and crossed with the queen, which increased diversity of the algorithm. A simulation study showed that this algorithm has better global search ability, verifying the feasibility of the algorithm.

关键词： Bee evolutionary Vehicle routing problem Particle swarm optimization

作者: Mingshun Kou Chunming Ye Zihao Chen

作者单位: College of Management,University of Shanghai for Science and Technology, Shanghai, China

会议类型: 国际会议

会议名称: 2011 6th Joint International Information Technology and Artificial Intelligence Conference(2011年第六届IEEE联合国际信息技术与人工智能会议 IEEE ITAIC 2011)

会议地点: 重庆

会议语种:英文

页码: 901-904

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）