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
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