DocumentCode :
2357673
Title :
Probing-based preprocessing techniques for propositional satisfiability
Author :
Lynce, Inês ; Marques-Silva, João
Author_Institution :
IST/INESC-ID, Tech. Univ. of Lisbon, Portugal
fYear :
2003
fDate :
3-5 Nov. 2003
Firstpage :
105
Lastpage :
110
Abstract :
Preprocessing is an often used approach for solving hard instances of propositional satisfiability (SAT). Preprocessing can be used for reducing the number of variables and for drastically modifying the set of clauses, either by eliminating irrelevant clauses or by inferring new clauses. Over the years, a large number of formula manipulation techniques has been proposed, that in some situations have allowed solving instances not otherwise solvable with state-of-the-art SAT solvers. This paper proposes probing-based preprocessing, an integrated approach for preprocessing propositional formulas, that for the first time integrates in a single algorithm most of the existing formula manipulation techniques. Moreover, the new unified framework can be used to develop new techniques. Preliminary experimental results illustrate that probing-based preprocessing can be effectively used as a preprocessing tool in state-of-the-art SAT solvers.
Keywords :
computability; problem solving; symbol manipulation; formula manipulation; preprocessing tool; probing-based preprocessing; propositional formula preprocessing; propositional satisfiability; state-of-the-art SAT solver; Algorithm design and analysis; Application software; Artificial intelligence; Computer science; Data preprocessing; Failure analysis; Home appliances;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 2003. Proceedings. 15th IEEE International Conference on
ISSN :
1082-3409
Print_ISBN :
0-7695-2038-3
Type :
conf
DOI :
10.1109/TAI.2003.1250177
Filename :
1250177
Link To Document :
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