Speeding-up non-clausal local search for propositional satisfiability with clause learning

  • Authors:
  • Zbigniew Stachniak;Anton Belov

  • Affiliations:
  • Department of Computer Science and Engineering, York University, Toronto, Canada;Department of Computer Science and Engineering, York University, Toronto, Canada

  • Venue:
  • SAT'08 Proceedings of the 11th international conference on Theory and applications of satisfiability testing
  • Year:
  • 2008

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Abstract

In this paper we discuss search heuristics for non-clausal stochastic local search procedures for propositional satisfiability. These heuristics are based on a new method for variable selection as well as a novel clause learning technique for dynamic input formula simplification as well as for guiding the search for a model.