License: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported license (CC BY-NC-ND 3.0)
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DOI: 10.4230/LIPIcs.STACS.2012.501
URN: urn:nbn:de:0030-drops-34129
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2012/3412/
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Paluch, Katarzyna ; Elbassioni, Khaled ; van Zuylen, Anke

Simpler Approximation of the Maximum Asymmetric Traveling Salesman Problem

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Abstract

We give a very simple approximation algorithm for the maximum asymmetric traveling salesman problem. The approximation guarantee of our algorithm is 2/3, which matches the best known approximation guarantee by Kaplan, Lewenstein, Shafrir and Sviridenko. Our algorithm is simple to analyze, and contrary to previous approaches, which need an optimal solution to a linear program, our algorithm is combinatorial and only uses maximum weight perfect matching algorithm.

BibTeX - Entry

@InProceedings{paluch_et_al:LIPIcs:2012:3412,
  author =	{Katarzyna Paluch and Khaled Elbassioni and Anke van Zuylen},
  title =	{{Simpler Approximation of the Maximum Asymmetric Traveling Salesman Problem}},
  booktitle =	{29th International Symposium on Theoretical Aspects of Computer Science (STACS 2012)},
  pages =	{501--506},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-939897-35-4},
  ISSN =	{1868-8969},
  year =	{2012},
  volume =	{14},
  editor =	{Christoph D{\"u}rr and Thomas Wilke},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2012/3412},
  URN =		{urn:nbn:de:0030-drops-34129},
  doi =		{10.4230/LIPIcs.STACS.2012.501},
  annote =	{Keywords: approximation algorithm, maximum asymmetric traveling salesman problem}
}

Keywords: approximation algorithm, maximum asymmetric traveling salesman problem
Collection: 29th International Symposium on Theoretical Aspects of Computer Science (STACS 2012)
Issue Date: 2012
Date of publication: 24.02.2012


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