Data structures for generalised arc consistency for extensional constraints

  • Authors:
  • Ian P. Gent;Chris Jefferson;Ian Miguel;Peter Nightingale

  • Affiliations:
  • School of Computer Science, University of St Andrews, Fife, United Kingdom;Oxford University Computing Laboratory, University of Oxford, Oxford, United Kingdom;School of Computer Science, University of St Andrews, Fife, United Kingdom;School of Computer Science, University of St Andrews, Fife, United Kingdom

  • Venue:
  • AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
  • Year:
  • 2007

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Abstract

Extensional (table) constraints are an important tool for attacking combinatorial problems with constraint programming. Recently there has been renewed interest in fast propagation algorithms for these constraints. We describe the use of two alternative data structures for maintaining generalised arc consistency on extensional constraints. The first, the Next-Difference list, is novel and has been developed with this application in mind. The second, the trie, is well known but its use in this context is novel. Empirical analyses demonstrate the efficiency of the resulting approaches, both in GAC-schema, and in the watched-literal table constraint in Minion.