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Brief announcement: efficient approximation algorithms for computing k disjoint restricted shortest paths

机译:简要说明:用于计算k个不相交的受限最短路径的有效近似算法

摘要

Let G = (V, E) be a digraph with nonnegative integral cost and delay on each edge, s and t be two vertices, and D ∈ Z+ 0 be a delay bound, the k disjoint Restricted Shortest Path (kRSP) problem is to compute k disjoint paths between s and t with the total cost minimized and the total delay bounded by D. In this paper, we first present a pseudo- polynomial-time algorithm with a bifactor approximation ratio of (1, 2), then improve the algorithm to polynomial time with a bifactor ratio of (1+∈, 2+∈) for any fixed ǫ > 0, which is better than the current best approximation ratio (O(1 + γ),O(1 + ln ¹ )) for any fixed γ > 0 [3, 5]. To the best of our knowledge, this is the first constant-factor algo- rithm that almost strictly obeys kRSP constraint.
机译:令G =(V,E)是有负整数成本且在每个边都有延迟的有向图,s和t是两个顶点,D∈Z + 0是一个延迟界限,k个不相交的限制最短路径(kRSP)问题是计算总成本最小且总延迟为D的s与t之间的k条不相交路径。在本文中,我们首先提出一种伪多项式时间算法,其双因子近似比为(1,2),然后提高对任何固定ǫ> 0的双因子比率(1 +∈,2 +ε)的多项式时间的算法,它比当前的最佳近似比率(O(1 +γ),O(1 + ln¹))好对于任何固定的γ> 0 [3,5]。据我们所知,这是第一个几乎严格遵守kRSP约束的恒定因子算法。

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