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Neighborhood-Based Variable Ordering Heuristics for the Constraint Satisfaction Problem

Christian BessiéreContact Information, Assef ChmeissContact Information and Lakhdar SaïsContact Information

(5)  LIRMM-CNRS (UMR 5506), Member of the Coconut group, 161, rue Ada, 34392 Montpellier Cedex 5, France
(6)  CRIL, Université d’Artois - IUT de Lens, Rue de l’université - SP 16, 62307 LENS Cedex, France
Abstract
One of the key factors in the efficiency of backtracking algorithms is the rule they use to decide on which variable to branch next (namely, the variable ordering heuristics). In this paper, we give a formulation of dynamic variable ordering heuristics that takes into account the properties of the neighborhood of the variable.
This work was partially supported by the IUT of Lens, the Nord/PasdeCalais region, and the European community.

Contact Information Christian Bessiére
Email: bessiere@lirmm.fr

Contact Information Assef Chmeiss
Email: chmeiss@cril.univ-artois.fr

Contact Information Lakhdar Saïs
Email: sais@cril.univ-artois.fr
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