Finite domain bounds consistency revisited

  • Authors:
  • C. W. Choi;W. Harvey;J. H. M. Lee;P. J. Stuckey

  • Affiliations:
  • Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, N.T., China;CrossCore Optimization Ltd, London, United Kingdom;Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, N.T., China;NICTA Victoria Laboratory, Department of Computer Science & Software Engineering, University of Melbourne, Australia

  • Venue:
  • AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
  • Year:
  • 2006

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Abstract

A widely adopted approach to solving constraint satisfaction problems combines systematic tree search with constraint propagation for pruning the search space. Constraint propagation is performed by propagators implementing a certain notion of consistency. Bounds consistency is the method of choice for building propagators for arithmetic constraints and several global constraints in the finite integer domain. However, there has been some confusion in the definition of bounds consistency and of bounds propagators. We clarify the differences among the three commonly used notions of bounds consistency in the literature. This serves as a reference for implementations of bounds propagators by defining (for the first time) the a priori behavior of bounds propagators on arbitrary constraints.