• DocumentCode
    2922717
  • Title

    Computing Horn Strong Backdoor Sets Thanks to Local Search

  • Author

    Paris, Lionel ; Ostrowski, Richard ; Siegel, Pierre ; Sais, Lakhdar

  • Author_Institution
    LSIS, Univ. de Provence, Marseille
  • fYear
    2006
  • fDate
    Nov. 2006
  • Firstpage
    139
  • Lastpage
    143
  • Abstract
    In this paper, a new approach for computing strong backdoor sets of Boolean formula in conjunctive normal form (CNF) is proposed. It makes an original use of local search techniques for finding an assignment leading to a largest renamable Horn sub-formula of a given CNF. More precisely, at each step, preference is given to variables such that when assigned to the opposite value lead to the smallest number of remaining non-Horn clauses. Consequently, if no positive or non Horn clauses remain in the formula, our approach answer the satisfiability of the original formula; otherwise, a smallest non-Horn sub-formula is used to extract the set of variables (strong backdoor) such that when assigned leads to a tractable sub-formula. Branching on the variables of the strong backdoor set leads to significant improvements of Zchaff SAT solver with respect to many real worlds SAT instances
  • Keywords
    Boolean algebra; Horn clauses; computability; search problems; Boolean formula; Horn strong backdoor set; Horn subformula; Zchaff SAT solver; conjunctive normal form; local search; proportional satisfiability; Artificial intelligence; Data preprocessing; Formal verification; Large scale integration; Lenses; NP-complete problem; NP-hard problem; Polynomials; Space exploration; Stochastic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2006. ICTAI '06. 18th IEEE International Conference on
  • Conference_Location
    Arlington, VA
  • ISSN
    1082-3409
  • Print_ISBN
    0-7695-2728-0
  • Type

    conf

  • DOI
    10.1109/ICTAI.2006.43
  • Filename
    4031891