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    Chapter and Conference Paper

    Incremental MaxSAT Reasoning to Reduce Branches in a Branch-and-Bound Algorithm for MaxClique

    When searching for a maximum clique of a graph using a branch-and-bound algorithm, it is usually believed that one should minimize the set of branching vertices from which search is necessary. It this paper, w...

    Chu-Min Li, Hua Jiang, Ru-Chu Xu in Learning and Intelligent Optimization (2015)

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    Chapter and Conference Paper

    MinSAT versus MaxSAT for Optimization Problems

    Despite their similarities, MaxSAT and MinSAT use different encodings and solving techniques to cope with optimization problems. In this paper we describe a new weighted partial MinSAT solver, define original ...

    Josep Argelich, Chu-Min Li, Felip Manyà in Principles and Practice of Constraint Prog… (2013)

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    Chapter and Conference Paper

    A New Encoding from MinSAT into MaxSAT

    MinSAT is the problem of finding a truth assignment that minimizes the number of satisfied clauses in a CNF formula. When we distinguish between hard and soft clauses, and soft clauses have an associated weigh...

    Zhu Zhu, Chu-Min Li, Felip Manyà in Principles and Practice of Constraint Prog… (2012)

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    Chapter and Conference Paper

    Exploiting Cycle Structures in Max-SAT

    We investigate the role of cycles structures (i.e., subsets of clauses of the form $\bar{l}_{1}\vee l_{2}, \bar{l}_{1}\vee l_{3},\bar{...

    Chu Min Li, Felip Manyà, Nouredine Mohamedou in Theory and Applications of Satisfiability … (2009)

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    Chapter and Conference Paper

    A Preprocessor for Max-SAT Solvers

    We describe a preprocessor that incorporates a variable saturation procedure for Max-SAT, and provide empirical evidence that it improves the performance of some of the most successful state-of-the-art solvers...

    Josep Argelich, Chu Min Li, Felip Manyà in Theory and Applications of Satisfiability … (2008)

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    Chapter and Conference Paper

    Combining Adaptive Noise and Look-Ahead in Local Search for SAT

    The adaptive noise mechanism was introduced in Novelty+ to automatically adapt noise settings during the search [4]. The local search algorithm G 2 WSAT deterministically exploits prom...

    Chu Min Li, Wanxia Wei, Harry Zhang in Theory and Applications of Satisfiability … (2007)

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    Chapter and Conference Paper

    Diversification and Determinism in Local Search for Satisfiability

    The choice of the variable to flip in the Walksat family procedures is always random in that it is selected from a randomly chosen unsatisfied clause c. This choice in Novelty or R-Novelty heuristics also contain...

    Chu Min Li, Wen Qi Huang in Theory and Applications of Satisfiability Testing (2005)