We present a new branch and bound algorithm for Max-SAT which incorporates original lazy data structures, a new variable selection heuristics and a lower bound of better quality. We provide experimental evidence that our solver outperforms some of the best performing Max-SAT solvers on a wide range of instances. © Springer-Verlag Berlin Heidelberg 2004.
CITATION STYLE
Alsinet, T., Manyà, F., & Planes, J. (2004). A Max-SAT solver with lazy data structures. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3315, pp. 334–342). Springer Verlag. https://doi.org/10.1007/978-3-540-30498-2_34
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