Depth-Driven Circuit-Level Stochastic Local Search for SAT
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 504-508.
Abstract
We develop a novel circuit-level stochastic local search (SLS) method D-CRSat for Boolean satisfiability by integrating a structure-based heuristic into the recent CRSat algorithm. D-CRSat significantly improves on CRSat on real-world application benchmarks on which other current CNF and circuit-level SLS methods tend to perform weakly. We also give an intricate proof of probabilistically approximate completeness for D-CRSat, highlighting key features of the method.
Anton Belov, Matti Järvisalo, and Zbigniew Stachniak. 2011. Depth-Driven Circuit-Level Stochastic Local Search for SAT. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11. IJCAI, 504–508. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-092
Belov, A., Järvisalo, M., & Stachniak, Z. (2011). Depth-Driven Circuit-Level Stochastic Local Search for SAT. In Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 (pp. 504–508). IJCAI. https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-092
@inproceedings{ijcai2011p92,
title = {Depth-Driven Circuit-Level Stochastic Local Search for SAT},
author = {Belov, Anton and Järvisalo, Matti and Stachniak, Zbigniew},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {504--508},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-092},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-092},
}
TY - CPAPER TI - Depth-Driven Circuit-Level Stochastic Local Search for SAT AU - Belov, Anton AU - Järvisalo, Matti AU - Stachniak, Zbigniew T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 504 EP - 508 DO - 10.5591/978-1-57735-516-8/IJCAI11-092 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-092 ER -Copied
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