Approximating Multi-criteria Max-TSP

  • Markus Bläser
  • Bodo Manthey
  • Oliver Putz
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5193)


We present randomized approximation algorithms for multi-criteria Max-TSP. For Max-STSP with k > 1 objective functions, we obtain an approximation ratio of \(\frac 1k - \varepsilon\) for arbitrarily small ε> 0. For Max-ATSP with k objective functions, we obtain a ratio of \(\frac{1}{k+1} - \varepsilon\).


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Markus Bläser
    • 1
  • Bodo Manthey
    • 1
  • Oliver Putz
    • 1
  1. 1.Computer ScienceSaarland UniversitySaarbrückenGermany

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