Resolution for Max-SAT

  • Authors:
  • María Luisa Bonet;Jordi Levy;Felip Manyà

  • Affiliations:
  • Dept. Llenguatges i Sistemes Informàtics (LSI), Universitat Politècnica de Catalunya (UPC), Jordi Girona, 1-3, 08034 Barcelona, Spain;Artificial Intelligence Research Institute (IIIA), Spanish Scientific Research Council (CSIC), Campus UAB, 08193 Bellaterra, Spain;Artificial Intelligence Research Institute (IIIA), Spanish Scientific Research Council (CSIC), Campus UAB, 08193 Bellaterra, Spain

  • Venue:
  • Artificial Intelligence
  • Year:
  • 2007

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Abstract

Max-SAT is the problem of finding an assignment minimizing the number of unsatisfied clauses in a CNF formula. We propose a resolution-like calculus for Max-SAT and prove its soundness and completeness. We also prove the completeness of some refinements of this calculus. From the completeness proof we derive an exact algorithm for Max-SAT and a time upper bound. We also define a weighted Max-SAT resolution-like rule, and show how to adapt the soundness and completeness proofs of the Max-SAT rule to the weighted Max-SAT rule. Finally, we give several particular Max-SAT problems that require an exponential number of steps of our Max-SAT rule to obtain the minimal number of unsatisfied clauses of the combinatorial principle. These results are based on the corresponding resolution lower bounds for those particular problems.