中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (4): 175-181.doi: 10.16265/j.cnki.issn1003-3033.2018.04.030

• 公共安全 • 上一篇    下一篇

库区水上应急救助设施选址多目标优化模型

张进峰1,2,3 副教授, 何芸枫1, 吴小红1, 刘永森1   

  1. 1 武汉理工大学 航运学院,湖北 武汉 430063
    2 国家水运安全工程技术研究中心, 湖北 武汉 430063
    3 内河航运技术湖北省重点实验室,湖北 武汉 430063
  • 收稿日期:2018-01-24 修回日期:2018-03-20 出版日期:2018-04-28 发布日期:2020-09-28
  • 作者简介:张进峰(1980—),男,安徽无为人,工学博士,副教授,主要从事水上交通安全与环境方面的研究。E-mail:mount@whut.edu.cn。
  • 基金资助:
    国家自然科学基金资助(51209166);甘肃省交通运输厅科技项目(2016-26);武汉理工大学自主创新研究基金资助(2018IVB083)。

Multi-objective optimization model for water emergency rescue facilities location in reservoir area

ZHANG Jinfeng1,2,3, HE Yunfeng1, WU Xiaohong1, LIU Yongsen1   

  1. 1 School of Navigation, Wuhan University of Technology,Wuhan Hubei 430063, China
    2 National Engineering Research Center for Water Transport Safety, Wuhan Hubei 430063, China
    3 Hubei Inland Shipping Technology Key Laboratory, Wuhan Hubei 430063, China
  • Received:2018-01-24 Revised:2018-03-20 Online:2018-04-28 Published:2020-09-28

摘要: 为提高库区水域应急救助设施选址决策的科学性,在深入分析应急救助设施最优选址问题的基础上,引入应急需求点的安全风险权重系数,以应急救助点覆盖半径为约束条件,建立以公平性、时效性和可靠性为核心的应急救助设施选址多目标优化模型;利用多目标粒子群优化算法(MOPSO)进行模型求解,得到Pareto最优解集,运用改进的逼近理想解排序算法(TOPSIS)在Pareto最优解集中权衡筛选出最佳折衷选址方案;将所建模型应用于某库区水上应急救助设施选址问题。结果表明:模型的非劣解能够充分反映选址实例中的公平性、时效性和可靠性间的悖反关系;用MOPSO和TOPSIS算法,能有效求得选址多目标优化模型的最优折衷解。

关键词: 库区, 水上应急, 救助设施选址, 多目标粒子群优化算法(MOPSO), 逼近理想解排序法(TOPSIS)

Abstract: In order to make scientific decisions on emergency rescue facility location of the reservoir water, safety risk weight coefficient was introduced by analyzing the water emergency and rescue facilities optimal location problem thoroughly. A multi-objective optimization location model of emergency rescue facilities was built with fairness, timeliness and reliability as the objective, and the emergency coverage radius was taken as the constraint condition. The MOPSO algorithm was introduced to solve the Pareto optimal solution sets, and the compromise position was an effective tradeoff solution based on the improved TOPSIS algorithm. The model was used to solve a water emergency rescue facilities location problem in a certain reservoir area. The results show that the non-inferior solution fully reflects the trade-off relationship between the fairness, timeliness and reliability in this case, and that the optimal compromise solution of the multi-objective optimization location model can be achieved with the MOPSO and TOPSIS algorithms.

Key words: reservoir area, water emergency and rescue, facilities location, multi-objective particle swarm optimization (MOPSO), technique for order preference by similarity to an ideal solution (TOPSIS)

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