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:
This work was supported by Science Foundation Ireland (Grant 00/PI.1/C075). We thank the Boole Centre For Research in Informatics for providing access to their Beowulf cluster.
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Hulubei, T., O’Sullivan, B. (2006). Heavy-Tailed Runtime Distributions: Heuristics, Models and Optimal Refutations. In: Benhamou, F. (eds) Principles and Practice of Constraint Programming - CP 2006. CP 2006. Lecture Notes in Computer Science, vol 4204. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11889205_61
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DOI: https://doi.org/10.1007/11889205_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46267-5
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