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An O(log n) Approximation Ratio for the Asymmetric Traveling Salesman Path Problem

机译:非对称旅行商路径的O(log n)逼近率

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摘要

Given an arc-weighted directed graph G = (V, A, l) and a pair of vertices s, t, we seek to find an s-t walk of minimum length that visits all the vertices in V. If l satisfies the asymmetric triangle inequality, the problem is equivalent to that of finding an s-t path of minimum length that visits all the vertices. We refer to this problem as ATSPP. When s = t this is the well known asymmetric traveling salesman tour problem (ATSP). Although an O(log n) approximation ratio has long been known for ATSP, the best known ratio for ATSPPis O(n~(1/2)). In this paper we present a polynomial time algorithm for ATSPPthat has approximation ratio of O(log n). The algorithm generalizes to the problem of finding a minimum length path or cycle that is required to visit a subset of vertices in a given order.
机译:给定圆弧加权有向图G =(V,A,l)和一对顶点s,t,我们试图找到一条最小长度的st步,该步访问V中的所有顶点。如果l满足非对称三角形不等式,问题等同于找到访问所有顶点的最小长度的st路径。我们将此问题称为ATSPP。当s = t时,这就是众所周知的非对称旅行商巡回问题(ATSP)。尽管ATSP的O(log n)近似比率早已为人所知,但ATSPP的最著名比率为O(n〜(1/2))。在本文中,我们提出了一种ATSPP的多项式时间算法,其近似比为O(log n)。该算法概括了以下问题:找到以给定顺序访问顶点子集所需的最小长度路径或循环。

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