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Heavy-Tailed Runtime Distributions: Heuristics, Models and Optimal Refutations

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Principles and Practice of Constraint Programming - CP 2006 (CP 2006)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 4204))

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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:

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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References

  1. Gomes, C.P., Fernández, C., Selman, B., Bessière, C.: Statistical regimes across constrainedness regions. Constraints 10(4), 317–337 (2005)

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  2. Hulubei, T., O’Sullivan, B.: Optimal refutations for constraint satisfaction problems. In: Proceedings of IJCAI 2005, pp. 163–168 (2005)

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  3. Hulubei, T., O’Sullivan, B.: The impact of search heuristics on heavy-tailed behaviour. Constraints 11(2–3), 157–176 (2006)

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  4. Regin, J.C.: A filtering algorithm for constraints of difference in CSPs. In: Proceedings of AAAI, pp. 362–367 (1994)

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© 2006 Springer-Verlag Berlin Heidelberg

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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

  • Online ISBN: 978-3-540-46268-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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