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A More Efficient BDD-Based QBF Solver

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Principles and Practice of Constraint Programming – CP 2011 (CP 2011)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6876))

Abstract

In this paper we present a QBF solver that is based on BDD technologies but includes optimizations from search-based algorithms. We enhance the early quantification technique from model checking, favoring aggressive quantification over conjunction of BDDs. BDD Constraint propagation is also described, a strategy inspired by the efficient simplifications applied to CNFs in DPLL-based algorithms . Some dynamic variable elimination heuristics that enforce quantification and bounded space usage are also presented, coping with the difficulties faced by static heuristics included in previous BDD-based solvers. Experimental results show that our solver outperforms both symbolic and search-based competitive solvers in formal verification benchmarks with practical applications in equivalence checking and theorem proving, by completing more problems or finishing in less time. Some preliminary results also show that the solver is able to handle some other hard problems for symbolic solvers in the planning domain with similar efficiency. The benchmarks we used contain QBFs of nearly up to 9000 variables and are available at the QBFLIB website.

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Author information

Authors and Affiliations

  1. Department of Computer Science, The University of Texas, Austin, TX, 78712, USA

    Oswaldo Olivo & E. Allen Emerson

Authors
  1. Oswaldo Olivo
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  2. E. Allen Emerson
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China

    Jimmy Lee

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Olivo, O., Emerson, E.A. (2011). A More Efficient BDD-Based QBF Solver. In: Lee, J. (eds) Principles and Practice of Constraint Programming – CP 2011. CP 2011. Lecture Notes in Computer Science, vol 6876. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23786-7_51

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  • DOI: https://doi.org/10.1007/978-3-642-23786-7_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23785-0

  • Online ISBN: 978-3-642-23786-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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