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Impact of SAT-Based Preprocessing on Core-Guided MaxSAT Solving

  • Jeremias BergEmail author
  • Matti Järvisalo
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9892)

Abstract

We present a formal analysis of the impact of Boolean satisfiability (SAT) based preprocessing techniques on core-guided solvers for the constraint optimization paradigm of maximum satisfiability (MaxSAT). We analyze the behavior of two solver abstractions of the core-guided approaches. We show that SAT-based preprocessing has no effect on the best-case number of iterations required by the solvers. This implies that, with respect to best-case performance, the potential benefits of applying SAT-based preprocessing in conjunction with core-guided MaxSAT solvers are in principle solely a result of speeding up the individual SAT solver calls made during MaxSAT search. We also show that, in contrast to best-case performance, SAT-based preprocessing can improve the worst-case performance of core-guided approaches to MaxSAT.

Keywords

Cardinality Constraint Preprocessing Technique Label Variable Soft Clause Unsatisfiable Core 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Helsinki Institute for Information Technology HIIT, Department of Computer ScienceUniversity of HelsinkiHelsinkiFinland

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