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Implementing Tabu Search to Exploit Sparsity in ATSP Instances

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Listed:
  • Sumanta Basu
  • Ravindra S Gajulapalli
  • Ghosh, Diptesh

Abstract

Real life traveling salesman problem (TSP) instances are often large,sparse, and asymmetric. Conventional tabu search implementations for the TSP that have been reported in the literature, almost always deals with small, dense and symmetric instances. In this paper, we outline data structures and a tabu search implementation that takes advantage of such data structures, which can exploit sparsity of a TSP instances, and hence can solve relatively large TSP instances (with up to 3000 nodes) much faster than conventional implementations. We also provide computational experiences with this implementation.

Suggested Citation

  • Sumanta Basu & Ravindra S Gajulapalli & Ghosh, Diptesh, 2008. "Implementing Tabu Search to Exploit Sparsity in ATSP Instances," IIMA Working Papers WP2008-10-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
    • Handle: RePEc:iim:iimawp:wp02118
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    References listed on IDEAS

    as
    1. Fred Glover, 1989. "Tabu Search---Part I," INFORMS Journal on Computing, INFORMS, vol. 1(3), pages 190-206, August.
    2. Sumanta Basu & Ghosh, Diptesh, 2008. "A review of the Tabu Search Literature on Traveling Salesman Problems," IIMA Working Papers WP2008-10-01, Indian Institute of Management Ahmedabad, Research and Publication Department.
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