Maximum Boolean satisfiability (max-SAT) is the optimization counterpart of Boolean satisfiability (SAT), in which a variable assignment is sought to satisfy the maximum number of...
The paper describes two methods for the design of matrix-oriented SAT solvers based on data compression. The first one provides matrix compression in a host computer and decompress...
Valery Sklyarov, Iouliia Skliarova, Bruno Figueire...
The variable branching heuristics used in the most recent and most effective SAT solvers, including zChaff and BerkMin, can be viewed as consisting of a simple mechanism for rewa...
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 present an algorithm for finding utilitarian optimal solutions to Simple and Disjunctive Temporal Problems with Preferences (STPPs and DTPPs) based on Benders’...
Hossein M. Sheini, Bart Peintner, Karem A. Sakalla...