Application of improved ant colony algorithm in vehicle scheduling problem

摘要：

　　In this paper, the ant colony algorithms is studied, and improve the shortcomings of the algorithm, And the improved algorithm is introduced into the field of logistics transportation. Aiming at the complexity and uncertainty of logistics transportation vehicle scheduling problem, a new algorithm is designed. The experimental results show that the improved algorithm can choose the transport route, speed up the transportation speed, improve the service quality, reduce the transportation cost and increase economic benefits.

关键词： Vehicle Scheduling Ant Colony Algorithm Pheromone

作者: Wang Rui Wang Jinguo Wang Na

作者单位: Department of Information Engineering,Jilin Business and Technology College China Department of Urology, the First Hospital of Jilin University,China Department of Anesthesiology, the First Hospital of Jilin University, China

会议类型: 国际会议

会议名称: 2015 Joint International Mechanical,Electronic and Information Technology Conference(JIMET 2015)(2015 联合国际机械,电子与信息技术国际会议)

会议地点: 重庆

会议语种:英文

页码: 656-659

在线出版日期: 2015-12-18（万方平台首次上网日期，不代表论文的发表时间）