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Regular-SAT: A many-valued approach to solving combinatorial problems. (English) Zbl 1121.68104
Summary: Regular-SAT is a constraint programming language between CSP and SAT that – by combining many of the good properties of each paradigm – offers a good compromise between performance and expressive power. Its similarity to SAT allows us to define a uniform encoding formalism, to extend existing SAT algorithms to Regular-SAT without incurring excessive overhead in terms of computational cost, and to identify phase transition phenomena in randomly generated instances. On the other hand, Regular-SAT inherits from CSP more compact and natural encodings that maintain more the structure of the original problem. Our experimental results – using a range of benchmark problems – provide evidence that Regular-SAT offers practical computational advantages for solving combinatorial problems.

68T20 Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.)
Full Text: DOI
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