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» Faster SAT solving with better CNF generation
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CATS
2008
13 years 6 months ago
Modelling for Lazy Clause Generation
Lazy clause generation is a hybrid SAT and finite domain propagation solver that tries to combine the advantages of both: succinct modelling using finite domains and powerful nogo...
Olga Ohrimenko, Peter J. Stuckey
CP
2007
Springer
13 years 11 months ago
Propagation = Lazy Clause Generation
Finite domain propagation solvers effectively represent the possible values of variables by a set of choices which can be naturally modelled as Boolean variables. In this paper we...
Olga Ohrimenko, Peter J. Stuckey, Michael Codish
ICTAI
2003
IEEE
13 years 10 months ago
MFSAT: A SAT Solver Using Multi-Flip Local Search
Local search-based methods of SAT solving have received a significant attention in the last decade. All local search-based methods choose the next truth assignment by flipping t...
Amol Dattatraya Mali, Yevgeny Lipen
ECAI
2004
Springer
13 years 9 months ago
Encoding Quantified CSPs as Quantified Boolean Formulae
Quantified Constraint Satisfaction Problems (QCSPs) are CSPs in which some variables are universally quantified. For each possible value of such variables, we have to find ways to ...
Ian P. Gent, Peter Nightingale, Andrew G. D. Rowle...
CP
2009
Springer
14 years 2 days ago
Why Cumulative Decomposition Is Not as Bad as It Sounds
Abstract. The global cumulative constraint was proposed for modelling cumulative resources in scheduling problems for finite domain (FD) propagation. Since that time a great deal ...
Andreas Schutt, Thibaut Feydy, Peter J. Stuckey, M...