Propositional Satisfiability and Constraint Programming: A Comparative Survey

L. Bordeaux, Y. Hamadi, and L. Zhang

Abstract

Propositional Satisfiability (SAT) and Constraint Programming (CP) have developped as two relatively independent threads of research, cross-fertilising occasionally. These two approaches to problem solving have a lot in common, as evidenced by similar ideas underlying the branch and prune algorithms which are most successful at solving both kinds of problems. They also exhibit differences in the way they are used to state and solve problems, since SAT's approach is in general a black-box approach, while CP aims at being tunable and programmable. This report overviews the two areas in a comparative way, emphasizing the similarities and differences between the two and the points where we feel that one technology can benefit from ideas or experience acquired from the other.

Details

Publication typeArticle
Published inACM Computing Surveys
Pages81
Volume38
Number4
InstitutionMicrosoft Research
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