Hybrid backtracking bounded by tree-decomposition of constraint networks

  • Authors:
  • Philippe Jégou;Cyril Terrioux

  • Affiliations:
  • Laboratoire des Sciences de l'Information et des Systèmes, LSIS-CNRS, Université d'Aix-Marseille 3, Av. Escadrille Normandie-Niemen, 13397 Marseille Cedex 20, France;Laboratoire des Sciences de l'Information et des Systèmes, LSIS-CNRS, Université d'Aix-Marseille 3, Av. Escadrille Normandie-Niemen, 13397 Marseille Cedex 20, France

  • Venue:
  • Artificial Intelligence
  • Year:
  • 2003

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Abstract

We propose a framework for solving CSPs based both on backtracking techniques and on the notion of tree-decomposition of the constraint networks. This mixed approach permits us to define a new framework for the enumeration, which we expect that it will benefit from the advantages of two approaches: a practical efficiency of enumerative algorithms and a warranty of a limited time complexity by an approximation of the tree-width of the constraint networks. Finally, experimental results allow us to show the advantages of this approach.