We study the problem of building structure-aware SAT-solvers based on resolution. In this study, we use the idea of treating a resolution proof as a process of Boundary Point Elimination (BPE). We identify two problems of using SAT-algorithms with Conflict Driven Clause Learning (CDCL) for structure-aware SAT-solving. We introduce a template of resolution based SAT-solvers called BPE-SAT that is based on a few generic implications of the BPE concept. BPE-SAT can be viewed as a generalization of CDCL SAT-solvers and is meant for building new structure-aware SAT-algorithms. We give experimental results substantiating the ideas of the BPE approach. In particular, to show the importance of structural information we compare an implementation of BPE-SAT and state-of-the-art SAT-solvers on narrow CNF formulas. © 2011 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Goldberg, E., & Manolios, P. (2011). SAT-solving based on boundary point elimination. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6504 LNCS, pp. 93–111). https://doi.org/10.1007/978-3-642-19583-9_12
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