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Specific Filtering Algorithms for Over-Constrained Problems

  • Thierry Petit
  • Jean-Charles Régin
  • Christian Bessière
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2239)

Abstract

In recent years, many constraint-specific filtering algorithms have been introduced. Such algorithms use the semantics of the constraint to perform filtering more efficiently than a generic algorithm. The usefulness of such methods has been widely proven for solving constraint satisfaction problems. In this paper, we extend this concept to overconstrained problems by associating specific filtering algorithms with constraints that may be violated. We present a paradigm that places no restrictions on the constraint filtering algorithms used. We illustrate our method with a complete study of the All-different constraint.

Keywords

Constraint Satisfaction Problem Primal Graph Filter Algorithm Deletion Condition Disjunctive Constraint 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Thierry Petit
    • 1
    • 2
  • Jean-Charles Régin
    • 1
  • Christian Bessière
    • 2
  1. 1.ILOGValbonneFRANCE
  2. 2.LIRMM (UMR 5506 CNRS)Montpellier Cedex 5FRANCE

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