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Parametric Multiroute Flow and Its Application to Robust Network with k Edge Failures

机译:参数多路径流及其在k边缘故障的鲁棒网络中的应用

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In this work, we investigate properties of the function taking the real value h to the max h-route flow value, and apply the result to solve robust network flow problems. We show that the function is piecewise hyperbolic, and modify a parametric optimization technique, the ES algorithm, to find this function. The running time of the algorithm is O(λmn), when λ is a source-sink edge connectivity of our network, m is the number of links, and n is the number of nodes. We can use the result from that algorithm to solve two max-flow problems against k edge failures, referred to as max-MLA-robust flow and max-MLA-reliable flow. When h is optimally chosen from the function, we show that the max-h-route flow is an exact solution of both problems for graphs in a specific class. Our numerical experiments show that 98% of random graphs generated in the experiment are in that specific class. Given a parametric edge e, we also show that the function taking the capacity of e to the max-h-route flow value is linear piecewise. Hence we can apply our modified ES algorithm to find that function in O(h~2mn).
机译:在这项工作中,我们研究了将实值h设为最大h路由流量值的函数的属性,并将其结果用于解决鲁棒的网络流量问题。我们证明该函数是分段双曲的,并修改了参数优化技术ES算法来找到该函数。该算法的运行时间为O(λmn),当λ是网络的源宿边缘连通性时,m是链路数,n是节点数。我们可以使用该算法的结果来解决针对k个边缘故障的两个最大流量问题,称为max-MLA-robust流和max-MLA-reliable流。当从函数中最佳选择h时,我们表明max-h-route流是特定类图中两个问题的精确解决方案。我们的数值实验表明,在实验中生成的随机图的98%在该特定类别中。给定一个参数边e,我们还表明将e的容量乘以最大h路径流量值的函数是分段线性的。因此,我们可以应用修改后的ES算法在O(h〜2mn)中找到该函数。

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