We present a new branch and bound algorithm for weighted Max-SAT, called Lazy which incorporates original data structures and inference rules, as well as a lower bound of better quality. We provide experimental evidence that our solver is very competitive and outperforms some of the best performing Max-SAT and weighted Max-SAT solvers on a wide range of instances.
Inglés
Max-SAT; WeightedMax-SAT; Branch and bound; Lower bound; Heuristics; Data structures; Heurística; Algorismes
Springer
Versió postprint del document publicat a: https://doi.org/10.1007/s10898-007-9166-9
Journal of Global Optimization, 2008, vol. 41, núm. 1, pàg. 61-73
(c) Springer, 2008
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