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Implicit Hitting Set Algorithms for Maximum Satisfiability Modulo Theories

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Automated Reasoning (IJCAR 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10900))

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Abstract

Solving optimization problems with SAT has a long tradition in the form of MaxSAT, which maximizes the weight of satisfied clauses in a propositional formula. The extension to maximum satisfiability modulo theories (MaxSMT) is less mature but allows problems to be formulated in a higher-level language closer to actual applications. In this paper we describe a new approach for solving MaxSMT based on lifting one of the currently most successful approaches for MaxSAT, the implicit hitting set approach, from the propositional level to SMT. We also provide a unifying view of how optimization, propositional reasoning, and theory reasoning can be combined in a MaxSMT solver. This leads to a generic framework that can be instantiated in different ways, subsuming existing work and supporting new approaches. Experiments with two instantiations clearly show the benefit of our generic framework.

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Notes

  1. 1.

    IHS MaxSAT solvers can be obtained by using the A-Sat rules and replacing \( T\text{- }SAT (AM,F)\) in ImprovedSolution with \( SAT (AM,F)\).

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Acknowledgments

This research has been supported by the Austrian Science Fund (FWF) under projects W1255-N23 and S11408-N23.

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Authors and Affiliations

  1. Johannes Kepler University, Linz, Austria

    Katalin Fazekas & Armin Biere

  2. University of Toronto, Toronto, Canada

    Fahiem Bacchus

Authors
  1. Katalin Fazekas
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  2. Fahiem Bacchus
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  3. Armin Biere
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Corresponding author

Correspondence to Katalin Fazekas .

Editor information

Editors and Affiliations

  1. Université de Lorraine, Vandoeuvre-lès-Nancy, France

    Didier Galmiche

  2. Baden-Wuerttemberg Cooperative State University, Stuttgart, Germany

    Stephan Schulz

  3. University of Trento, Trento, Italy

    Roberto Sebastiani

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Fazekas, K., Bacchus, F., Biere, A. (2018). Implicit Hitting Set Algorithms for Maximum Satisfiability Modulo Theories. In: Galmiche, D., Schulz, S., Sebastiani, R. (eds) Automated Reasoning. IJCAR 2018. Lecture Notes in Computer Science(), vol 10900. Springer, Cham. https://doi.org/10.1007/978-3-319-94205-6_10

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  • DOI: https://doi.org/10.1007/978-3-319-94205-6_10

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  • Print ISBN: 978-3-319-94204-9

  • Online ISBN: 978-3-319-94205-6

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