An Optimization Approach for Transportation agent selection

摘要：

-The selection of transportation agent is a multi-objective, non-structural optimal decision problem. In this paper, an approach based on back propagation neural network (BPNN) technique to the problem is provided. Satisfactory agent is subject to some factors: The service quality, cost control, market development, and the cooperation mode. On the basis of these factors,an evaluation index system is established. A mathematical model based on these factors and an algorithm based on BP neural network are then presented. In the end, a case study is carried out to illustrate the validity of approach developed in this paper.

关键词： Transportation agent selection index system neural network simulation

作者: Jian Liu Jianning Yu Huimin Niu

作者单位: PhD. Candidate, lecturer School of Traffic and Transportation Lanzhou Jiaotong University Lanzhou, C School of Traffic and Transportation Lanzhou Jiaotong University Lanzhou, China

会议类型: 国际会议

会议名称: 2007 Conference on Systems Science, Management Science and System Dynamics(第二届系统科学、管理科学与系统动力学国际会议)

会议地点: 上海

会议语种:英文

页码: 1373-1380

在线出版日期: 2007-10-19（万方平台首次上网日期，不代表论文的发表时间）