An Optimization Model for Multi-modal Transportation and its Solution Algorithm under Uncertain Environment

摘要：

Based on the analysis of the technical and economical characteristics of transportation modes (such as speed, cost and transport capacity), this paper presents a fuzzy planning optimization model for multi-modal transportation, in which the factors including the transportation time and transfer time with uncertainty, transfer conditions and time-window demanded by customer are considered. According to the characteristic of the optimization model, the genetic algorithm is investigated to solve the proposed model. In the end, a numerical example is provided to validate the model and algorithm. The influence of the optimization solution with the timewindows parameter change is analyzed. Meanwhile, the comparison among the given genetic algorithm (GA) and other methods is presented on search capability for optimization solution. The simulation result shows that genetic algorithm is valid and effective to solve the optimization model for multi-modal transportation under environment.

关键词： multi-modal transportation uncertain time fuzzy planning genetic algorithm

作者: De-zhi Zhang Shuangyan Li

作者单位: School of Transportation Engineering, Central South University, Changsha Hunan 410075 School of Mana School of Transportation Engineering, Central South University, Changsha Hunan 410075

会议类型: 国际会议

会议名称: The Third International Conference on Operations and Supply Chain Management(第三届运营与供应链管理国际会议)

会议地点: 武汉

会议语种:英文

页码: 114-118

在线出版日期: 2009-07-28（万方平台首次上网日期，不代表论文的发表时间）