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Iterative Patching and the Asymmetric Traveling Salesman Problem

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  • Turkensteen, Marcel
  • Ghosh, Diptesh
  • Goldengorin, Boris
  • Sierksma, Gerard

    (Groningen University)

Abstract

Although Branch and Bound (BnB) methods are among the most widely used techniques for solving hard problems, it is still a challenge to make these methods smarter. In this paper, we investigate iterative patching, a technique in which a fixed patching procedure is applied at each node of the BnB search tree for the Asymmetric Traveling Salesman Problem. Computational experiments show that iterative patching results in general in search trees that are smaller than the usual classical BnB trees, and that solution times are lower for usual random and sparse instances. Furthermore, it turns out that, on average, iterative patching with the Contract-or-Patch procedure of Glover, Gutin, Yeo and Zverovich (2001) and the Karp-Steele procedure are the fastest, and that ?iterative? Modified Karp-Steele patching generates the smallest search trees.

Suggested Citation

  • Turkensteen, Marcel & Ghosh, Diptesh & Goldengorin, Boris & Sierksma, Gerard, 2004. "Iterative Patching and the Asymmetric Traveling Salesman Problem," Research Report 04A27, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
  • Handle: RePEc:gro:rugsom:04a27
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    File URL: http://irs.ub.rug.nl/ppn/274569213
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    References listed on IDEAS

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    1. Glover, Fred & Gutin, Gregory & Yeo, Anders & Zverovich, Alexey, 2001. "Construction heuristics for the asymmetric TSP," European Journal of Operational Research, Elsevier, vol. 129(3), pages 555-568, March.
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    Cited by:

    1. Kampars Janis & Shmite Elina, 2014. "STORN: Solution to Traversal of Road Networks/ RCTI: izbraucama ceļu tīkla risinājums/ РПДС: Решение дорожных сетей для проезда," Information Technology and Management Science, Sciendo, vol. 17(1), pages 74-80, December.
    2. Jamal Ouenniche & Prasanna K. Ramaswamy & Michel Gendreau, 2017. "A dual local search framework for combinatorial optimization problems with TSP application," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(11), pages 1377-1398, November.

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