Research on an optimization model for logistics nodes dynamic location and its solution algorithm

摘要：

Based on the logistics nodes system consisting of first-degree logistics node (logistics park) secondary logistics nodes (including logistics center and distribution center), a dynamic logistics nodes location model of multi-period , multi-type cargo flow and multiple logistics nodes is given. The optimization model considers the factors including fixed cost for logistics opening, handling cost and economic of scale of different type logistics nodes. An effective algorithm based on the improved Ford- Fulkerson algorithm and genetic algorithm is presented according to the characteristic of optimization problem. Finally, a numerical example is provided to validate the proposed model and solution algorithm. The findings indicate that the model proposed in this paper is a useful tool for the investigation of the Multi-period and Multiple Logistics Node Dynamic Location Problem.

关键词： logistics nodes dynamic location optimization model heuristic rules hybrid genetic algorithm

作者: Dezhi Zhang Ting Liu Ruhe Xie Shuangyan Li

作者单位: School of Traffic and Transportation Engineering Central South University Changsha, P.R.China School of Traffic and Transportation Engineering Guangzhou University Guangzhou, P.R.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）