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» Using SAT in QBF
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AI
2006
Springer
13 years 11 months ago
On the Quality and Quantity of Random Decisions in Stochastic Local Search for SAT
Stochastic local search (SLS) methods are underlying some of the best-performing algorithms for certain types of SAT instances, both from an empirical as well as from a theoretical...
Dave A. D. Tompkins, Holger H. Hoos
SAT
2007
Springer
81views Hardware» more  SAT 2007»
14 years 1 months ago
Short XORs for Model Counting: From Theory to Practice
Abstract. A promising approach for model counting was recently introduced, which in theory requires the use of large random xor or parity constraints to obtain near-exact counts of...
Carla P. Gomes, Jörg Hoffmann, Ashish Sabharw...
SAT
2005
Springer
95views Hardware» more  SAT 2005»
14 years 1 months ago
Random Walk with Continuously Smoothed Variable Weights
Many current local search algorithms for SAT fall into one of two classes. Random walk algorithms such as Walksat/SKC, Novelty+ and HWSAT are very successful but can be trapped for...
Steven David Prestwich
SAT
2004
Springer
115views Hardware» more  SAT 2004»
14 years 1 months ago
Full CNF Encoding: The Counting Constraints Case
Abstract. Many problems are naturally expressed using CNF clauses and boolean cardinality constraints. It is generally believed that solving such problems through pure CNF encoding...
Olivier Bailleux, Yacine Boufkhad
SAT
2004
Springer
117views Hardware» more  SAT 2004»
14 years 1 months ago
A Random Constraint Satisfaction Problem That Seems Hard for DPLL
Abstract. This paper discusses an NP-complete constraint satisfaction problem which appears to share many of the threshold characteristics of SAT but is similar to XOR-SAT and so i...
Harold S. Connamacher