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Approximation algorithms for euclidean group TSP

Published: 11 July 2005 Publication History

Abstract

In the Euclidean group Traveling Salesman Problem (TSP), we are given a set of points P in the plane and a set of m connected regions, each containing at least one point of P. We want to find a tour of minimum length that visits at least one point in each region. This unifies the TSP with Neighborhoods and the Group Steiner Tree problem. We give a (9.1α+1)-approximation algorithm for the case when the regions are disjoint α-fat objects with possibly varying size. This considerably improves the best results known, in this case, for both the group Steiner tree problem and the TSP with Neighborhoods problem. We also give the first O(1)-approximation algorithm for the problem with intersecting regions.

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Published In

cover image Guide Proceedings
ICALP'05: Proceedings of the 32nd international conference on Automata, Languages and Programming
July 2005
1476 pages
ISBN:3540275800
  • Editors:
  • Luís Caires,
  • Giuseppe F. Italiano,
  • Luís Monteiro,
  • Catuscia Palamidessi,
  • Moti Yung

Sponsors

  • Fundacao para a Ciencia e Tecnologia
  • FCT: Foundation for Science and Technology
  • Centro de Lógica e Computação/IST/UTL: Centro de Lógica e Computação/IST/UTL

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 11 July 2005

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