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首页> 外文期刊>European Journal of Operational Research >Exact and approximation algorithms for the min-max k-traveling salesmen problem on a tree
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Exact and approximation algorithms for the min-max k-traveling salesmen problem on a tree

机译:树上最小-最大k-行销商问题的精确和逼近算法

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摘要

Given k identical salesmen, where k ≥ 2 is a constant independent of the input size, the min-max k-traveling salesmen problem on a tree is to determine a set of k tours for the salesmen to serve all customers that are located on a tree-shaped network, so that each tour starts from and returns to the root of the tree with the maximum total edge weight of the tours minimized. The problem is known to be NP-hard even when k = 2. In this paper, we have developed a pseudo-polynomial time exact algorithm for this problem with any constant k ≥ 2, closing a question that has remained open for a decade. Along with this, we have further developed a 1 + -Approximation algorithm for any 0.
机译:给定k个相同的推销员,其中k≥2是一个常数,与输入大小无关,则树上的最小-最大k行销推销员问题是确定推销员的k个行程集,以服务位于a上的所有客户树状网络,因此每次巡回都从树的根开始并返回到树的根,同时最大程度地减小了巡回的最大总边权重。即使k = 2,也知道该问题是NP难的。在本文中,我们针对此常数k≥2的问题开发了伪多项式时间精确算法,从而关闭了一个已经存在十年的问题。除此之外,我们还针对任何0进一步开发了1 +-近似算法。

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