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作 者:颜克胜[1,2] 荣莉莉 YAN Ke-sheng;RONG Li-li(Institute of Systems Engineering,Dalian University of Technology,Dalian 116024,China;College of Hydraulic and Environmental Engineering,China Three Gorges University,Yichang 400067,China)
机构地区:[1]大连理工大学系统工程研究所,辽宁大连116024 [2]三峡大学水利与环境学院,湖北宜昌443002
出 处:《运筹与管理》2021年第5期21-30,共10页Operations Research and Management Science
基 金:国家自然科学基金资助项目(71871039,71871042,71421001)。
摘 要:科学合理制定相互依赖关键基础设施网络(Interdependent Critical Infrastructure Network,ICINs)遭灾后毁坏组件的修复计划是其安全管理的至关重要内容。本文首先明确了ICINs的韧性测度,分析了其灾后修复策略;然后基于网路流理论,以最大化ICINs的韧性为目标,构建了在有限灾后修复资源约束下,ICINs的灾后修复任务选择与调度的混合整数规划模型,并设计了遗传算法进行求解;最后通过不同规模的用例实验对模型和遗传算法进行了测试。研究表明:(1)该模型具有解决相关问题的可行性与有效性;(2)设计的遗传算法能获得质量较高的满意解,且对于大规模问题,遗传算法的求解时间与求解结果优于Cplex软件;(3)将网络之间的功能与空间相互依赖同时纳入模型中,能使ICINs的韧性达到更高。研究可为ICINs的灾后修复决策提供辅助。The reasonable post-disruption restoration plan of damaged components in interdependent critical infrastructure networks(ICINs)is the key issue of its safety management.Firstly,in this paper,the resilience metric of ICINs is defined and the post-disaster restoration strategy is analyzed.Then,aiming at maximizing the resilience of ICINs,a mixed integer programming model is formulated based on network flow theory for selection and sequencing of post-disaster restoration tasks of ICINs under the constraint of limited post-disaster restoration resources,and a genetic algorithm is developed to solve the problem.Finally,the proposed model and genetic algorithm are tested by applications with different sizes.The results show that:(1)the proposed model is feasible and effective;(2)the developed genetic algorithm can obtain high-quality solution,and the solution time and results are better than that of Cplex software for large size problems;(3)integrating the functional and spatial interdependencies between CINs into the proposed model can get higher resilience of ICINs.Our model can provide decision support for post-disaster restoration of ICINs.
关 键 词:关键基础设施网络 相互依赖 灾后修复 韧性 混合整数规划
分 类 号:C935[经济管理—管理学] N945[自然科学总论—系统科学]
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