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    Chapter and Conference Paper

    A Tableau Calculus for Non-clausal Maximum Satisfiability

    We define a non-clausal MaxSAT tableau calculus. Given a multiset o...

    Chu Min Li, Felip Manyà, Joan Ramon Soler in Automated Reasoning with Analytic Tableaux… (2019)

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    Chapter and Conference Paper

    On Inconsistent Clause-Subsets for Max-SAT Solving

    Recent research has focused on using the power of look-ahead to speed up the resolution of the Max-SAT problem. Indeed, look-ahead techniques such as Unit Propagation (UP) allow to find conflicts and to quickl...

    Sylvain Darras, Gilles Dequen in Principles and Practice of Constraint Prog… (2007)

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    Chapter and Conference Paper

    Exploiting Unit Propagation to Compute Lower Bounds in Branch and Bound Max-SAT Solvers

    One of the main differences between complete SAT solvers and exact Max-SAT solvers is that the former make an intensive use of unit propagation at each node of the proof tree while the latter, in order to ensu...

    Chu Min Li, Felip Manyà, Jordi Planes in Principles and Practice of Constraint Prog… (2005)

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    Chapter and Conference Paper

    Characterizing SAT Problems with the Row Convexity Property

    Using the literal encoding of the satisfiability problem (SAT) as a binary constraint satisfaction problem (CSP), we relate the path consistency concept and the row convexity of CSPs with the inference rules i...

    Hachemi Bennaceur in Principles and Practice of Constraint Programming - CP 2002 (2002)

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    Chapter and Conference Paper

    A Hybrid Approach for SAT

    Exploiting variable dependencies has been shown very useful in local search algorithms for SAT. In this paper, we extend the use of such dependencies by hybridizing a local search algorithm, Walksat, and the D...

    Djamal Habet, Chu Min Li, Laure Devendeville in Principles and Practice of Constraint Prog… (2002)

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    Chapter and Conference Paper

    Look-ahead versus look-back for satisfiability problems

    CNF propositional satisfiability (SAT) is a special kind of the more general Constraint Satisfaction Problem (CSP). While lookback techniques appear to be of little use to solve hard random SAT problems, it is...

    Chu Min Li, Anbulagan in Principles and Practice of Constraint Programming-CP97 (1997)