Capturing Structure with Satisfiability

Author:

Béjar Ramón,Cabiscol Alba,Fernàndez Cèsar,Manyà Felip,Gomes Carla

Publisher

Springer Berlin Heidelberg

Reference23 articles.

1. D. Achlioptas, C. P. Gomes, H. Kautz, and B. Selman. Generating satisfiable problem instances. In Proc. of AAAI-2000, pages 256–261, 2000.

2. R. J. Bayardo and R. C. Schrag. Using CSP look-back techniques to solve realworldSA T instances. In Proc. of AAAI’97, pages 203–208, 1997.

3. B. Beckert, R. Hähnle and F. Manyà. The SAT problem of signedCNF formulas. In Labelled Deduction, pages 61–82, Kluwer, 2000.

4. R. Béjar. Systematic and Local Search Algorithms for Regular-SAT. PhD thesis, Universitat Autònoma de Barcelona, 2000.

5. R. Béjar and F. Manyà. Phase transitions in the regular random 3-SAT problem. In Proc. of ISMIS’99, pages 292–300. LNAI 1609, 1999.

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1. Exploiting multivalued knowledge in variable selection heuristics for SAT solvers;Annals of Mathematics and Artificial Intelligence;2007-06-23

2. Solving Non-Boolean Satisfiability Problems with Stochastic Local Search: A Comparison of Encodings;Journal of Automated Reasoning;2006-01-19

3. Mapping Problems with Finite-Domain Variables to Problems with Boolean Variables;Theory and Applications of Satisfiability Testing;2005

4. Boosting Chaff’s Performance by Incorporating CSP Heuristics;Principles and Practice of Constraint Programming – CP 2003;2003

5. Bridging the Gap between SAT and CSP;Lecture Notes in Computer Science;2002

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