An algorithm for solving satisfiability problem based on the structural information of formulas

Zaijun ZHANG, Daoyun XU, Jincheng ZHOU

Front. Comput. Sci. ›› 2021, Vol. 15 ›› Issue (6) : 156405.

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Front. Comput. Sci. ›› 2021, Vol. 15 ›› Issue (6) : 156405. DOI: 10.1007/s11704-021-0318-8
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An algorithm for solving satisfiability problem based on the structural information of formulas

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Zaijun ZHANG, Daoyun XU, Jincheng ZHOU. An algorithm for solving satisfiability problem based on the structural information of formulas. Front. Comput. Sci., 2021, 15(6): 156405 https://doi.org/10.1007/s11704-021-0318-8
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References

[1]
Cook S A. The complexity of theorem-proving procedures. In: Proceedings of the 3rd Annual ACM Symposium on Theory of Computing. 1971, 151–158
CrossRef Google scholar
[2]
Tompkins D A D, Balint A, Hoos H H. Captain Jack: new variable selection heuristics in local search for SAT. In: Proceedings of the 14th International Conference on Theory and Application of Satisfiability Testing. 2011, 302–316
CrossRef Google scholar
[3]
Cai S, Su K. Local search for Boolean Satisfiability with configuration checking and subscore. Artificial Intelligence, 2013, 204(9): 75–98
CrossRef Google scholar
[4]
Balint A, Frohlich A. Improving stochastic local search for SAT with a new probability distribution. In: Proceedings of International Conference on Theory and Applications of Satisfiability Testing. 2010, 10–15
CrossRef Google scholar
[5]
Li A, Pan Y. Structural information and dynamical complexity of networks. IEEE Transactions on Information Theory, 2016, 62(6): 3290–3339
CrossRef Google scholar

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