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» A Clause-Based Heuristic for SAT Solvers
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JSAT
2008
113views more  JSAT 2008»
14 years 11 months ago
Combining Adaptive and Dynamic Local Search for Satisfiability
In this paper we describe a stochastic local search (SLS) procedure for finding models of satisfiable propositional formulae. This new algorithm, gNovelty+ , draws on the features...
Duc Nghia Pham, John Thornton, Charles Gretton, Ab...
GLVLSI
2003
IEEE
153views VLSI» more  GLVLSI 2003»
15 years 5 months ago
FORCE: a fast and easy-to-implement variable-ordering heuristic
The MINCE heuristic for variable-ordering [1] successfully reduces the size of BDDs and can accelerate SAT-solving. Applications to reachability analysis have also been successful...
Fadi A. Aloul, Igor L. Markov, Karem A. Sakallah
LPNMR
2004
Springer
15 years 5 months ago
Answer Set Programming with Clause Learning
A conflict clause represents a backtracking solver’s analysis of why a conflict occurred. This analysis can be used to further prune the search space and to direct the search h...
Jeffrey Ward, John S. Schlipf
SAT
2009
Springer
91views Hardware» more  SAT 2009»
15 years 6 months ago
VARSAT: Integrating Novel Probabilistic Inference Techniques with DPLL Search
Probabilistic inference techniques can be used to estimate variable bias, or the proportion of solutions to a given SAT problem that fix a variable positively or negatively. Metho...
Eric I. Hsu, Sheila A. McIlraith
DAC
2010
ACM
15 years 3 months ago
An AIG-Based QBF-solver using SAT for preprocessing
In this paper we present a solver for Quantified Boolean Formulas (QBFs) which is based on And-Inverter Graphs (AIGs). We use a new quantifier elimination method for AIGs, which...
Florian Pigorsch, Christoph Scholl