Title
Regular-SAT: A many-valued approach to solving combinatorial problems
Abstract
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.
Year
DOI
Venue
2007
10.1016/j.dam.2005.10.020
Discrete Applied Mathematics
Keywords
Field
DocType
sat algorithm,combinatorial problem solving,many-valued logic,combinatorial problem,good property,sat that-by,regular-sat inherits,good compromise,many-valued approach,solvers,constraint programming language,satisfiability,practical computational advantage,computational cost,benchmark problems-provide evidence,many valued logic,constraint programming,expressive power,phase transition
Discrete mathematics,Similitude,Computer science,Satisfiability,Constraint programming,Algorithm,Theoretical computer science,Formalism (philosophy),Many-valued logic,Expressive power,Encoding (memory)
Journal
Volume
Issue
ISSN
155
12
Discrete Applied Mathematics
Citations 
PageRank 
References 
4
0.42
24
Authors
5
Name
Order
Citations
PageRank
Ramón Béjar130536.72
Felip Manyà278759.52
Alba Cabiscol3313.86
Cèsar Ferníndez440.42
Carla P. Gomes52344179.21