Abstract. In this survey we compare the similarities, differences and the complexities of two very different approaches to solve a general constraint satisfaction probblems (CSP). ...
The MINCE heuristic for variable-ordering [1] successfully reduces the size of BDDs and can accelerate SAT-solving. Applications to reachability analysis have also been successful...
Reformulating constraint satisfaction problems (CSPs) in lower arity is a common procedure when computing consistency. Lower arity CSPs are simpler to treat than high arity CSPs. ...
Abstract. Variable elimination is the basic step of Adaptive Consistency 4 . It transforms the problem into an equivalent one, having one less variable. Unfortunately, there are ma...
Randomized search heuristics (e.g., evolutionary algorithms, simulated annealing etc.) are very appealing to practitioners, they are easy to implement and usually provide good per...