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Exact Algorithms for Finding Partial Edge-Disjoint Paths

机译:查找部分边不相交路径的精确算法

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For a given graph G with non-negative integral edge length, a pair of distinct vertices s and t, and a given positive integer δ, the k partial edge-disjoint shortest path (kPESP) problem aims to compute k shortest si-paths among which there are at most δ edges shared by at least two paths. In this paper, we first present an exact algorithm with a runtime O(mn log_(1+m) n + δn~2) for kPESP with k = 2. Then observing the algorithm can not be extended for general k, we propose another algorithm with a runtime O(δ2~kn~(k+1)) in DAGs based on graph transformation. In addition, we show the algorithm can be extended to kPESP with an extra edge congestion constraint that each edge can be shared by at most C paths for a given integer C ≤ k.
机译:对于给定的具有非负整数边长,一对不同的顶点s和t以及给定正整数δ的图G,k个部分边不相交的最短路径(kPESP)问题旨在计算其中的k个最短si路径至少有两条路径共享最多δ个边。在本文中,我们首先针对k = 2的kPESP提出了一种运行时间为O(mn log_(1 + m / n)n +δn〜2)的精确算法。提出了另一种基于图形变换的DAG中运行时间为O(δ2〜kn〜(k + 1))的算法。此外,我们展示了该算法可以扩展到具有额外的边缘拥塞约束的kPESP,即对于给定的整数C≤k,每个边缘最多可以由C条路径共享。

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