The Optimization Model and its Algorithms for Multiple Transportation Modes Selection for single-task in the Fourth Party Logistics

摘要：

On the basis of multiple transport mode selection, the paper presents the route optimization model for single-task from one origination to several destinations in the fourth party logistics, and gives the solution of Genetic Algorithms. In the algorithms, a length-variant encoding scheme of round number is adopted to represent the selected route, and idea that keeps the best individual is used. The results of experiments show that Genetic Algorithms can solve the route optimization problem based on the selection of multiple transport modes in the fourth party logistics conveniently and effectively.

作者: Li Gui-hua Huang Min

作者单位: College of Information Science and Engineering,Northeastern University ； School of management,Shenya College of Information Science and Engineering, Northeastern University Key Laboratory of Integrated

会议类型: 国际会议

会议名称: International Conference on Management and Service Science(2011年第五届管理与服务科学国际会议 MASS 2011)

会议地点: 武汉

会议语种:英文

页码: 1-4

在线出版日期: 2011-08-12（万方平台首次上网日期，不代表论文的发表时间）