loading...
Computing Horn Strong Backdoor Sets Thanks to Local Search
Arlington, Virginia November 13-November 15
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICTAI.2006.4318th IEEE International Conference on ...
 This Article 
 
PDF
HTML
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Lionel Paris, LSIS, Universite de Provence, France
Richard Ostrowski, LSIS, Universite de Provence, France
Pierre Siegel, LSIS, Universite de Provence, France
Lakhdar Sais, CRIL, Universite d'Artois, France
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.
Citation:
Lionel Paris, Richard Ostrowski, Pierre Siegel, Lakhdar Sais, "Computing Horn Strong Backdoor Sets Thanks to Local Search," ictai, pp.139-143, 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.


Suggestions