Efficient Algorithms for Functional Constraints

  • Authors:
  • Yuanlin Zhang;Roland H. Yap;Chendong Li;Satyanarayana Marisetti

  • Affiliations:
  • Texas Tech University, USA;National University of Singapore, Singapore;Texas Tech University, USA;Texas Tech University, USA

  • Venue:
  • ICLP '08 Proceedings of the 24th International Conference on Logic Programming
  • Year:
  • 2008

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Abstract

Functional constraints are an important constraint class in Constraint Programming (CP) systems, in particular for Constraint Logic Programming (CLP) systems. CP systems with finite domain constraints usually employ CSP-based solvers which use local consistency, e.g. arc consistency. We introduce a new approach which is based instead on variable substitution . We obtain efficient algorithms for reducing systems involving functional and bi-functional constraints together with other non-functional constraints. It also solves globally any CSP where there exists a variable such that any other variable is reachable from it through a sequence of functional constraints. Our experiments show that variable elimination can significantly improve the efficiency of solving problems with functional constraints.