广东工业大学学报 ›› 2016, Vol. 33 ›› Issue (02): 37-41.doi: 10.3969/j.issn.1007-7162.2016.02.007

• 综合研究 • 上一篇    下一篇

基于遗传算法的三层大规模应急救援物资配置策略

何勇,温洁嫦,黄美华   

  1. 广东工业大学 应用数学学院,广东 广州 510520
  • 收稿日期:2015-01-15 出版日期:2016-03-23 发布日期:2016-03-23
  • 通信作者: 温洁嫦(1964-),女,教授,硕士生导师,主要研究方向为最优化方法与应用、智能计算.E-mail:wjcpig@126.com
  • 作者简介:何勇(1990-),男,硕士研究生,主要研究方向为最优化方法与应用.
  • 基金资助:

    广东省特色创新项目(2014KTSCX055)

The Three Layers of Large-scale Emergency Material Allocation Strategy Based on the GA

He Yong, Wen Jie-chang, Huang Mei-hua   

  1. School of Applied Mathematics, Guangdong University of Technology, Guangzhou 510520, China
  • Received:2015-01-15 Online:2016-03-23 Published:2016-03-23

摘要:

在考虑受灾地区对应救援物资需求量大的基础上,研究了包括备选省级应急救援物资供应地、备选市县级应急救援物资中转地、救援物资急需地三层结构的车辆安排、路径选择、物资配送的应急救援物资配置问题;以应急救援物资配置的总成本最小、总的运输时间最短、供应地和中转地启用个数最少为目标,建立数学优化模型.使用遗传算法求解获得近似最优的三层应急救援物资配置方案.

关键词: 应急救援;物资配送;车辆安排;路径优化;遗传算法

Abstract:

Based on the concern that the affected areas are in an urgent need of a large quantity of emergency relief materials, a study is conducted on the problems of vehicle arrangement, path selection, distribution in emergency material allocation in three layers including alternative provincial supplying spot, alternative municipal and county-level transitional place and the area in urgent need. An optimized mathematical model is figured out with the goals of minimum total cost, the shortest transport time and minimum supplying spots and transitional places in emergency material allocation. Finally, using GA, an optimized three-layer large-scale emergency material allocation scheme is proposed.

Key words: emergency relief; material distribution; vehicle arrangement; path optimization; genetic algorithms(GA)

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