Effective preprocessing in #SAT

Qin Guo; Juan Sang; Yong-mei He

doi:10.1117/12.921379

13 January 2012 Effective preprocessing in #SAT

Qin Guo, Juan Sang, Yong-mei He

Proceedings Volume 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies; 835022 (2012) https://doi.org/10.1117/12.921379
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

Abstract

Preprocessing #SAT instances can reduce their size considerably and decrease the solving time. In this paper we investigate the use of the hyper-binary resolution and equality reduction to preprocess the #SAT instances. And a preprocessing algorithm Preprocess MC is presented, which combines the unit propagation, the hyper-binary resolution, and the equality reduction together. The experiment shows that these excellent technologies not only reduce the size of the #SAT formula, but also improve the ability of the model counters to solve #SAT problems.

Citation Download Citation

Qin Guo, Juan Sang, and Yong-mei He "Effective preprocessing in #SAT", Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 835022 (13 January 2012); https://doi.org/10.1117/12.921379

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