Read e-book online Theory and Applications of Satisfiability Testing – SAT PDF

By Martin Davis (auth.), João Marques-Silva, Karem A. Sakallah (eds.)

ISBN-10: 3540727876

ISBN-13: 9783540727873

This quantity includes the papers offered at SAT 2007: tenth foreign convention on conception and purposes of Satis?ability trying out. The foreign meetings on idea and purposes of Satis?ability checking out (SAT) originated in 1996 as a chain of workshops “on Satis?ability.” by means of the 3rd assembly in 2000, the workshop had attracted a mixture of theorists and experimentalists whose universal curiosity used to be the enhancement of our uncomplicated figuring out of the theoretical underpinnings of the Satis?ability challenge in addition to the advance of scalable algorithms for its answer in a variety of software domain names. In 2002 a contest of SAT solvers was once inaugurated to spur additional algorithmic and implementation advancements, and to create an eclectic choice of benchmarks. The competition—expanded in next years to incorporate pseudo Boolean, QBF, and MAX-SAT solvers—has turn into an integralpartofthesemeetings,addinganelementofexcitementandanticipation. Theinterplaybetweentheoryandapplication,aswellastheincreasedinterestin Satis?abilityfromawider communityofresearchers,ledtothe naturalevolution of those preliminary workshops into the present convention layout. the once a year SAT convention is now universally famous as “the venue” for publishing the newest advances in SAT research.

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Additional info for Theory and Applications of Satisfiability Testing – SAT 2007: 10th International Conference, Lisbon, Portugal, May 28-31, 2007. Proceedings

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H. Shen and H. Zhang. Study of lower bound functions for max-2-sat. In Proceedings of AAAI-2004, pages 185–190, 2004. 21. Z. Xing and W. Zhang. An efficient exact algorithm for (weighted) maximum satisfiability. Artificial Intelligence, 164(2):47–80, 2005. 22. L. Zhang, C. Madigan, M. Moskewicz, and S. Malik. Efficient conflict driven learning in a Boolean satisfiability solver. In International Conference on Computer Aided Design, ICCAD-2001, San Jose/CA, USA, pages 279–285, 2001. MiniMaxSat: A New Weighted Max-SAT Solver Federico Heras, Javier Larrosa, and Albert Oliveras Universitat Politecnica de Catalunya, Jordi Girona 1-3, 08034 Barcelona, Spain Abstract.

Chaff: Engineering an efficient sat solver. In 39th Design Automation Conference, 2001. 40 J. Argelich and F. Many` a 20. H. Shen and H. Zhang. Study of lower bound functions for max-2-sat. In Proceedings of AAAI-2004, pages 185–190, 2004. 21. Z. Xing and W. Zhang. An efficient exact algorithm for (weighted) maximum satisfiability. Artificial Intelligence, 164(2):47–80, 2005. 22. L. Zhang, C. Madigan, M. Moskewicz, and S. Malik. Efficient conflict driven learning in a Boolean satisfiability solver. In International Conference on Computer Aided Design, ICCAD-2001, San Jose/CA, USA, pages 279–285, 2001.

It was, to the best of our knowledge, the first time that learning was incorporated into a a branch and bound Partial Max-SAT solver. 3 PMS-Learning PMS-learning extends PMS-hard with a module that analyzes the conflicts detected in which at least one of the conflict clauses is soft. For the time being, our soft learning consist of applying Max-SAT resolution to two conflict clauses. These clauses are selected as follows: between all the conflict clauses, we choose the pairs of clauses x ∨ A and ¬x ∨ B that have the minimum number of literals and, finally, we choose the pair that has the minimum number of different literals among A and B.

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Theory and Applications of Satisfiability Testing – SAT 2007: 10th International Conference, Lisbon, Portugal, May 28-31, 2007. Proceedings by Martin Davis (auth.), João Marques-Silva, Karem A. Sakallah (eds.)


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