Add to ORKGA popular approach to SMT is based on the integration of a DPLL SAT solver and of a decision procedure able to handle sets of atomic constraints in the underlying theory T (T-solver). In pure SAT, however, stochas-tic local-search (SLS) [5] procedures sometimes outperform DPLL on sat
Stochastic local search (SLS) has been an active field of research in the last few years, with new t...
In Boolean logic, a formula is satisfiable if a variable assignment exists that will make the formul...
Stochastic Local Search (SLS) algorithms are amongst the most effective approaches for solving hard ...
A popular approach to SMT is based on the integration of a DPLL SAT solver and of a decision procedu...
We describe a new SMT procedure integrating a Boolean Stochastic Local Search (SLS) algorithm with a...
Abstract. Stochastic Local Search (SLS) solvers are considered one of the best solving technique for...
Abstract. State of the art Stochastic Local Search (SLS) solvers have difficulty in solving many CNF...
Recent work on Stochastic Local Search (SLS) for the SAT and CSP domains has shown the importance of...
Random k-CNF formulas at the anticipated k-SAT phase-transition point are prototypical hard k-SAT in...
This thesis describes new algorithms for the Propositional Satisfiability Problem (SAT), a fundament...
Stochastic local search (SLS) has been an active field of research in the last few years, with new t...
Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for ...
Satisfiability Modulo Theories (SMT) is essential for many practical applications, e.g., in hard- an...
We introduce the dynamic SAT problem, a generalisation of the satisfiability problem in propositiona...
Abstract. In this paper we introduce UBCSAT, a new implementation and experimentation environment fo...
Stochastic local search (SLS) has been an active field of research in the last few years, with new t...
In Boolean logic, a formula is satisfiable if a variable assignment exists that will make the formul...
Stochastic Local Search (SLS) algorithms are amongst the most effective approaches for solving hard ...
A popular approach to SMT is based on the integration of a DPLL SAT solver and of a decision procedu...
We describe a new SMT procedure integrating a Boolean Stochastic Local Search (SLS) algorithm with a...
Abstract. Stochastic Local Search (SLS) solvers are considered one of the best solving technique for...
Abstract. State of the art Stochastic Local Search (SLS) solvers have difficulty in solving many CNF...
Recent work on Stochastic Local Search (SLS) for the SAT and CSP domains has shown the importance of...
Random k-CNF formulas at the anticipated k-SAT phase-transition point are prototypical hard k-SAT in...
This thesis describes new algorithms for the Propositional Satisfiability Problem (SAT), a fundament...
Stochastic local search (SLS) has been an active field of research in the last few years, with new t...
Stochastic local search (SLS) algorithms are among the most prominent and successful techniques for ...
Satisfiability Modulo Theories (SMT) is essential for many practical applications, e.g., in hard- an...
We introduce the dynamic SAT problem, a generalisation of the satisfiability problem in propositiona...
Abstract. In this paper we introduce UBCSAT, a new implementation and experimentation environment fo...
Stochastic local search (SLS) has been an active field of research in the last few years, with new t...
In Boolean logic, a formula is satisfiable if a variable assignment exists that will make the formul...
Stochastic Local Search (SLS) algorithms are amongst the most effective approaches for solving hard ...