The parameterized complexity of global constraints

  • Authors:
  • C. Bessiere;E. Hebrard;B. Hnich;Z. Kiziltan;C.-G. Quimper;T. Walsh

  • Affiliations:
  • LIRMM, Montpellier, France;UCC, Ireland;Izmir Uni. of Economics, Izmir, Turkey;CS Department, Uni. of Bologna, Italy;École Polytechnique de Montréal, Canada;NICTA and UNSW, Sydney, Australia

  • Venue:
  • AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1
  • Year:
  • 2008

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Abstract

We argue that parameterized complexity is a useful tool with which to study global constraints. In particular, we show that many global constraints which are intractable to propagate completely have natural parameters which make them fixed-parameter tractable and which are easy to compute. This tractability tends either to be the result of a simple dynamic program or of a decomposition which has a strong backdoor of bounded size. This strong backdoor is often a cycle cutset. We also show that parameterized complexity can be used to study other aspects of constraint programming like symmetry breaking. For instance, we prove that value symmetry is fixed-parameter tractable to break in the number of symmetries. Finally, we argue that parameterized complexity can be used to derive results about the approximability of constraint propagation.