Various problems in AI can be solved by translating them into a quantified boolean formula (QBF) and evaluating the resulting encoding. In this approach, a QBF solver is used as a ...
The development of successful metaheuristic algorithms such as local search for a difficult problems such as satisfiability testing (SAT) is a challenging task. We investigate an ...
Bounded Model Checking (BMC) relies on solving a sequence of highly correlated Boolean satisfiability (SAT) problems, each of which corresponds to the existence of counter-example...
Chao Wang, HoonSang Jin, Gary D. Hachtel, Fabio So...
Abstract. Computational Grids provide a widely distributed computing environment suitable for randomized SAT solving. This paper develops techniques for incorporating learning, kno...
In this paper, we investigate to which extent the elimination of a class of redundant clauses in SAT instances could improve the efficiency of modern satisfiability provers. Sinc...