Transforming Inconsistent Subformulas in MaxSAT Lower Bound Computation

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Principles and Practice of Constraint Programming (CP 2008)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 5202))

Abstract

We define a new heuristic that guides the application of cycle resolution (CR) in MaxSAT, and show that it produces better lower bounds than those obtained by applying CR exhaustively as in Max-DPLL, and by applying CR in a limited way when unit propagation detects a contradiction as in MaxSatz.

This research was funded by MEC research projects TIN2006-15662-C02-02, TIN2007-68005-C04-04, and CONSOLIDER CSD2007-0022, INGENIO 2010.

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References

  1. Li, C.M., Manyà, F., Planes, J.: Exploiting unit propagation to compute lower bounds in branch and bound Max-SAT solvers. In: van Beek, P. (ed.) CP 2005. LNCS, vol. 3709, pp. 403–414. Springer, Heidelberg (2005)

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  2. Li, C.M., Manyà, F., Planes, J.: Detecting disjoint inconsistent subformulas for computing lower bounds for Max-SAT. In: Proceedings AAAI 2006, pp. 86–91 (2006)

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Peter J. Stuckey

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© 2008 Springer-Verlag Berlin Heidelberg

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Li, C.M., Manyà, F., Mohamedou, N.O., Planes, J. (2008). Transforming Inconsistent Subformulas in MaxSAT Lower Bound Computation. In: Stuckey, P.J. (eds) Principles and Practice of Constraint Programming. CP 2008. Lecture Notes in Computer Science, vol 5202. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85958-1_46

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  • DOI: https://doi.org/10.1007/978-3-540-85958-1_46

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85957-4

  • Online ISBN: 978-3-540-85958-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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