Deterministic algorithms for multi-criteria TSP

  • Authors:
  • Bodo Manthey

  • Affiliations:
  • University of Twente, Department of Applied Mathematics AE Enschede, The Netherlands

  • Venue:
  • TAMC'11 Proceedings of the 8th annual conference on Theory and applications of models of computation
  • Year:
  • 2011

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Abstract

We present deterministic approximation algorithms for the multi-criteria traveling salesman problem (TSP). Our algorithms are faster and simpler than the existing randomized algorithms. First, we devise algorithms for the symmetric and asymmetric multicriteria Max-TSP that achieve ratios of 1/2k - ε and 1/(4k - 2) - ε, respectively, where k is the number of objective functions. For two objective functions, we obtain ratios of 3/8-ε and 1/4-ε for the symmetric and asymmetric TSP, respectively. Our algorithms are self-contained and do not use existing approximation schemes as black boxes. Second, we adapt the generic cycle cover algorithm for Min-TSP. It achieves ratios of 3/2+ε, 1/2 + γ3/1-3γ2 +ε, and 1/2 + γ2/1-γ + ε for multicriteria Min-ATSP with distances 1 and 2, Min-ATSP with γ-triangle inequality and Min-STSP with γ-triangle inequality, respectively.