Improved filtering for weighted circuit constraints

Abstract : We study the weighted circuit constraint in the context of constraint programming. It appears as a substructure in many practical applications, particularly routing problems. We propose a domain filtering algorithm for the weighted circuit constraint that is based on the 1-tree relaxation of Held and Karp. In addition, we study domain filtering based on an additive bounding procedure that combines the 1-tree relaxation with the assignment problem relaxation. Experimental results on Traveling Salesman Problem instances demonstrate that our filtering algorithms can dramatically reduce the problem size. In particular, the search tree size and solving time can be reduced by several orders of magnitude, compared to existing constraint programming approaches. Moreover, for medium-size problem instances, our method is competitive with the state-of-the-art special-purpose TSP solver Concorde.
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https://hal.archives-ouvertes.fr/hal-01099501
Contributeur : Michel Rueher <>
Soumis le : lundi 11 juillet 2016 - 11:57:05
Dernière modification le : jeudi 9 février 2017 - 15:18:01

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Distributed under a Creative Commons Paternité - Pas d'utilisation commerciale - Partage selon les Conditions Initiales 4.0 International License

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Pascal Benchimol, Willem-Jan Van Hoeve, Jean-Charles Régin, Louis-Martin Rousseau, Michel Rueher. Improved filtering for weighted circuit constraints. Constraints, Springer Verlag, 2012, 17 (3), pp.205 - 233. <http://link.springer.com/article/10.1007/s10601-012-9119-x>. <10.1007/s10601-012-9119-x>. <hal-01099501>

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