期刊
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
卷 57, 期 -, 页码 146-165出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trc.2015.06.012
关键词
Hazardous materials transportation; Time-dependent location-scheduling problem; Fuzzy random variable; Expected value model; Modified particle swarm optimization algorithm
资金
- National Science Fund for Distinguished Young Scholars [71025005]
- National Natural Science Foundation of China [71371027, 91224001]
- Beijing Social Science Fund [13JGC087]
- Program for New Century Excellent Talents in University [NCET-13-0649]
The tremendous use of hazardous materials has promoted the economic development, which also brings about a growing risk causing a widespread concern. In-this work, we consider a location-scheduling problem on hazardous materials transportation under the assumption that transportation risks are time-dependent fuzzy random variables. First, we formulate a scheduling optimization model and design a fuzzy random simulation based genetic algorithm to optimize the departure time and dwell times for each depot-customer pair. Then we establish an expected value model and design a modified particle swarm optimization algorithm to minimize the en route risks and site risks. Finally, numerical examples are given to illustrate the effectiveness of the proposed models and algorithms. (C) 2015 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据