Heavy-Tailed runtime distributions: heuristics, models and optimal refutations

  • Authors:
  • Tudor Hulubei;Barry O'Sullivan

  • Affiliations:
  • Cork Constraint Computation Centre, Department of Computer Science, University College Cork, Ireland;Cork Constraint Computation Centre, Department of Computer Science, University College Cork, Ireland

  • Venue:
  • CP'06 Proceedings of the 12th international conference on Principles and Practice of Constraint Programming
  • Year:
  • 2006

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Abstract

We perform an in-depth empirical study of runtime distributions associated with a continuum of problem formulations for QWH-10 with 90% holes defined between the points where a formulation is entirely specified in terms of binary inequality constraints to models specified using an increasing number of AllDifferent global constraints [4]. For each model we study a variety of variable and value ordering heuristics. We compare their runtime distributions against runtime distributions where any mistakes made in search are refuted optimally [2], and make the following observations: