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» Hierarchical Hardness Models for SAT
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CP
2004
Springer
13 years 10 months ago
Understanding Random SAT: Beyond the Clauses-to-Variables Ratio
It is well known that the ratio of the number of clauses to the number of variables in a random k-SAT instance is highly correlated with the instance’s empirical hardness. We con...
Eugene Nudelman, Kevin Leyton-Brown, Holger H. Hoo...
AISC
2008
Springer
13 years 7 months ago
Strategies for Solving SAT in Grids by Randomized Search
Grid computing offers a promising approach to solving challenging computational problems in an environment consisting of a large number of easily accessible resources. In this pape...
Antti Eero Johannes Hyvärinen, Tommi A. Juntt...
CP
2006
Springer
13 years 9 months ago
Towards an Efficient SAT Encoding for Temporal Reasoning
Abstract. In this paper, we investigate how an IA network can be effectively encoded into the SAT domain. We propose two basic approaches to modelling an IA network as a CSP: one r...
Duc Nghia Pham, John Thornton, Abdul Sattar
ECAI
2008
Springer
13 years 7 months ago
Justification-Based Non-Clausal Local Search for SAT
While stochastic local search (SLS) techniques are very efficient in solving hard randomly generated propositional satisfiability (SAT) problem instances, a major challenge is to i...
Matti Järvisalo, Tommi A. Junttila, Ilkka Nie...
CPAIOR
2010
Springer
13 years 3 months ago
Lazy Clause Generation: Combining the Power of SAT and CP (and MIP?) Solving
Finite domain propagation solving, the basis of constraint programming (CP) solvers, allows building very high-level models of problems, and using highly specific inference encapsu...
Peter J. Stuckey