中国安全科学学报 ›› 2020, Vol. 30 ›› Issue (10): 171-178.doi: 10.16265/j.cnki.issn 1003-3033.2020.10.024

• 应急技术与管理 • 上一篇    下一篇

震灾应急物资分配-运输优化模型及算法研究

林勇1 讲师, 肖骅1,2 讲师, 张立3 教授, 漆磊1 讲师   

  1. 1 中国人民解放军陆军勤务学院 军事物流系,重庆 401311;
    2 成都理工大学 管理科学学院, 四川 成都 610059;
    3 重庆工商大学融智学院 科研处,重庆 401320
  • 收稿日期:2020-07-01 修回日期:2020-09-17 出版日期:2020-10-28 发布日期:2021-07-15
  • 作者简介:林 勇 (1986—),男,四川邻水人,博士,讲师,硕士生导师,主要从事应急决策、 多目标优化等方面的研究。E-mail:lycq04183@163.com。
  • 基金资助:
    国家社会科学基金资助(19BGL244, 19BGL290);重庆市教委科学技术研究项目(KJZD-K201802101);陆军勤务学院青年基金资助(LQ-QN-201930)。

Optimization model and algorithm of emergency supplies allocation-transportation in earthquake disasters

LIN Yong1, XIAO Hua1,2, ZHANG Li3, QI Lei1   

  1. 1 Department of Military Logistics, Army Logistics University of PLA, Chongqing 401311,China;
    2 School of Management Science, Chengdu University of Technology, Chengdu Sichuan 610059, China;
    3 Office of Research Affairs, Rongzhi College of Chongqing Technology and Business University, Chongqing 401320,China
  • Received:2020-07-01 Revised:2020-09-17 Online:2020-10-28 Published:2021-07-15

摘要: 为解决地震灾害中直达路径与迂回路径并存情况下的应急物资分配-运输新问题,给应急管理决策者提供多样化的决策方案,首先,以损失攀比效应总和最小以及时间攀比效应总和最小为目标,构建应急物资分配-运输优化模型;然后,通过改进多目标粒子群优化(MOPSO)算法的速度更新策略和参数更新策略,并融入将不可行解修正为可行解的编码修正策略,提出一种基于编码修正的MOPSO(MOSPO-CM)算法来求解模型;最后,通过数值算例验证所提模型和算法的有效性。研究结果表明:所提模型和算法能够有效地解决应急物资分配-运输新问题,并能为应急管理决策者提供多个优化方案。

关键词: 地震灾害, 应急物资, 分配-运输, 多目标粒子群优化(MOSPO)算法, 直达路径, 迂回路径

Abstract: In order to address new problems in allocation-transportation of emergency supplies when direct paths and detour paths coexist in earthquake disasters, and to provide emergency managers with diversified decision-making schemes, an optimization model of allocation-transportation was developed aiming at minimizing sums of loss and time comparison effects. Secondly, by improving velocity and parameter update strategies of MOPSO algorithm, and incorporating a code modification strategy for modifying unfeasible solution to a feasible one, a MOPSO algorithm based on code modification (MOPSO-CM) was presented to solve the model. Finally, effectiveness of it and the algorithm was verified through numerical examples. The results show that the proposed model and algorithm can effectively solve new problems in allocation-transportation, and can provide multiple optimization schemes for emergency management decision makers

Key words: earthquake disaster, emergency supplies, allocation-transportation, multi-objective particle swarm optimization(MOSPO), direct path, detour path

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