A Container Vehicle Routing Model with Variable Traveling Time

摘要：

Vehicle traveling time is vital for vehicle Routing problem. Due to traffic, jam, et al, it generally varies with different times of day, traffic conditions and so on. Considering simultaneous pick-up and delivery service, this paper aims to solve a local container vehicle routing problem with variable traveling time faced by container terminal and forwarders. A genetic algorithm (GA) is advanced to gain an efficient and feasible solution by improving solution encoding, GA operators and involution strategy. Experiments show that the proposed model and algorithm are potentially efficient and useful in solving container vehicle routing problems with varible traveling time in acceptable CPU time.

关键词： Container transportation Vehicle Routing Problem Genetic Algorithm Variable traveling time

作者: Shengqiang Wen Pengfei Zhou

作者单位: School of Civil and Hydraulic Engineering Dalian University of Technology Dalian, Liaoning Province, China

会议类型: 国际会议

会议名称: 2007 IEEE International Conference on Automation and Lofistics

会议地点: 山东济南

会议语种:英文

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）