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Algorithms for an Integer Multicommodity Network Flow Problem with Node Reliability Considerations

机译:考虑节点可靠性的整数多商品网络流量问题的算法

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In this paper, we consider the problem of sending a set of multiple commodities from their origin to destination nodes via intermediate hubs. Each hub node is associated with a reliability function, which depends on the total flow that crosses that hub. The probability that each commodity is successfully relayed from its origin to its destination is given by the product of hub reliabilities on the commodity's path. The problem we consider seeks to find minimum-cost commodity paths such that each commodity reaches its destination with a sufficiently large probability. We first formulate the problem as a nonlinear multicommodity network-flow problem and prove that it is strongly NP-hard. We then present two linearization techniques for this formulation, and propose a pair of lower- and upper-bounding formulations, which can then be used within an exact cutting-plane algorithm to solve the problem. Finally, we analyze the computational effectiveness of our proposed strategies on a set of randomly generated instances.
机译:在本文中,我们考虑了通过中间集线器将一组多种商品从其来源发送到目的地节点的问题。每个集线器节点都与可靠性功能关联,该功能取决于穿过该集线器的总流量。每个商品成功地从其原产地传递到目的地的概率由商品路径上枢纽可靠性的乘积给出。我们认为的问题是寻求找到成本最低的商品路径,以使每种商品都以足够大的概率到达其目的地。我们首先将该问题表述为非线性的多商品网络流问题,并证明它具有很强的NP难性。然后,我们为该公式提供两种线性化技术,并提出一对上下限公式,然后可以在精确的切割平面算法中使用它们来解决该问题。最后,我们在一组随机生成的实例上分析了我们提出的策略的计算效率。

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