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Deterministic 7/8-Approximation for the Metric Maximum TSP

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Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques (APPROX 2008, RANDOM 2008)

Abstract

We present the first 7/8-approximation algorithm for the maximum traveling salesman problem with triangle inequality. Our algorithm is deterministic. This improves over both the randomized algorithm of Hassin and Rubinstein [2] with expected approximation ratio of 7/8 − O(n − 1/2) and the deterministic (7/8 − O(n − 1/3))-approximation algorithm of Chen and Nagoya [1].

In the new algorithm, we extend the approach of processing local configurations using so-called loose-ends, which we introduced in [4].

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References

  1. Chen, Z.-Z., Nagoya, T.: Improved approximation algorithms for metric max TSP. In: Brodal, G.S., Leonardi, S. (eds.) ESA 2005. LNCS, vol. 3669, pp. 179–190. Springer, Heidelberg (2005)

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  2. Hassin, R., Rubinstein, S.: A 7/8-approximation algorithm for metric Max TSP. Inf. Process. Lett. 81(5), 247–251 (2002)

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  3. Kostochka, A.V., Serdyukov, A.I.: Polynomial algorithms with the estimates 3/4 and 5/6 for the traveling salesman problem of the maximum (in Russian). Upravlyaemye Sistemy 26, 55–59 (1985)

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  4. Kowalik, Ł., Mucha, M.: 35/44-approximation for asymmetric maximum TSP with triangle inequality. In: Dehne, F., Sack, J.-R., Zeh, N. (eds.) WADS 2007. LNCS, vol. 4619, pp. 589–600. Springer, Heidelberg (2007)

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  5. Serdyukov, A.I.: The traveling salesman problem of the maximum (in Russian). Upravlyaemye Sistemy 25, 80–86 (1984)

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Ashish Goel Klaus Jansen José D. P. Rolim Ronitt Rubinfeld

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© 2008 Springer-Verlag Berlin Heidelberg

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Kowalik, Ł., Mucha, M. (2008). Deterministic 7/8-Approximation for the Metric Maximum TSP. In: Goel, A., Jansen, K., Rolim, J.D.P., Rubinfeld, R. (eds) Approximation, Randomization and Combinatorial Optimization. Algorithms and Techniques. APPROX RANDOM 2008 2008. Lecture Notes in Computer Science, vol 5171. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85363-3_11

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  • DOI: https://doi.org/10.1007/978-3-540-85363-3_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85362-6

  • Online ISBN: 978-3-540-85363-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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