An AIG-Based QBF-solver using SAT for preprocessing

9 years 5 months ago
An AIG-Based QBF-solver using SAT for preprocessing
In this paper we present a solver for Quantified Boolean Formulas (QBFs) which is based on And-Inverter Graphs (AIGs). We use a new quantifier elimination method for AIGs, which heuristically combines cofactor-based quantifier elimination with quantification using BDDs and thus benefits from the strengths of both data structures. Moreover, we present a novel SAT-based method for preprocessing QBFs that is able to efficiently detect variables with forced truth assignments, allowing for an elimination of these variables from the input formula. We describe the used algorithm which heavily relies on the incremental features of modern SATsolvers. Experimental results demonstrate that our preprocessing method can significantly improve the performance of QBF preprocessing and thus is able to accelerate the overall solving process when used in combination with state-of-the-art QBF-solvers. In particular, we integrated the preprocessing technique as well as the quantifier elimination m...
Florian Pigorsch, Christoph Scholl
Added 15 Aug 2010
Updated 15 Aug 2010
Type Conference
Year 2010
Where DAC
Authors Florian Pigorsch, Christoph Scholl
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