A faster 2-approximation algorithm for the minmax p-traveling salesmen problem on a tree

  • Authors:
  • Hiroshi Nagamochi;Kohei Okada

  • Affiliations:
  • Department of Information and Computer Sciences, Toyohashi University of Technology, Toyohashi, Aichi 441-8580, Japan;Matsushita Electric Industrial Co., Ltd., Kadoma 1006, Osaka 571-8501, Japan

  • Venue:
  • Discrete Applied Mathematics
  • Year:
  • 2004

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Abstract

Given an edge-weighted tree T and an integer p ≥ 1, the minmax p-traveling salesmen problem on a tree T asks to find p tours such that the union of the p tours covers all the vertices. The objective is to minimize the maximum of length of the p tours. It is known that the problem is NP-hard and has a (2- 2/(p + 1))-approximation algorithm which runs in O(pp-1 np-1) time for a tree with n vertices. In this paper, we consider an extension of the problem in which the set of vertices to be covered now can be chosen as a subset S of vertices and weights to process vertices in S are also introduced in the tour length. For the problem, we give an approximation algorithm that has the same performance guarantee, but runs in O((p - 1)! . n) time.