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Modeling interdependencies in infrastructure systems using multi-layered network flows

机译:使用多层网络流对基础结构系统中的相互依赖性进行建模

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We consider the problem of optimizing the operations of interdependent infrastructure systems in a resource-constrained environment. In this problem, decisions consist of determining the set of components that will be operational and how services from different infrastructures will be delivered to operational components. We propose an interdependent multi-layered network flow (IMN) model to solve this problem. In this model, interdependent infrastructures are represented by networks and movement of commodities or services by flows. We seek to maximize the reward obtained from operational components minus the cost of routing flows. We show that IMN is NP-hard in the strong sense even in the case of a single-layer network. We further propose families of valid inequalities for the integer programming formulation of IMN, which are then utilized to develop a solution approach for the problem. The solution approach is tested on synthesized data sets of interdependent infrastructure systems. Our computational results demonstrate that our solution approach can obtain high-quality solutions in less computational time when compared to the mixed integer programming (MIP) formulation solved with standard software for most of the instances. We also show the capability of IMN over the previous models in the literature on interdependent infrastructures' operations. (C) 2020 Elsevier Ltd. All rights reserved.
机译:我们考虑在资源受限的环境中优化相互依赖的基础架构系统的操作的问题。在此问题中,决策包括确定将要运行的组件集以及如何将来自不同基础结构的服务交付给运行组件。我们提出了一个相互依赖的多层网络流(IMN)模型来解决此问题。在此模型中,相互依存的基础架构以网络和商品或服务的流动性为代表。我们力求从运营组件中获得的收益最大化,再减去路由流程的成本。我们显示,即使在单层网络的情况下,IMN也具有很强的NP难度。我们进一步为IMN的整数编程公式提出有效的不等式族,然后将其用于开发问题的解决方案。该解决方案方法在相互依赖的基础架构系统的综合数据集上进行了测试。我们的计算结果表明,与大多数情况下用标准软件解决的混合整数编程(MIP)公式相比,我们的解决方案方法可在更少的计算时间内获得高质量的解决方案。我们还展示了IMN在相互依赖的基础架构的运营方面的能力,优于先前模型中的模型。 (C)2020 Elsevier Ltd.保留所有权利。

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