Algorithm Research & Explore
|
3316-3320

Back-jump levels based learnt clauses deletion strategy for SAT solver

Shen Xue1a,2
Chen Shuwei1a,2
Xu Yang1a,2
Wu Guanfeng1b,2
1. a. School of Mathematics, b. School of Information & Technology, Southwest Jiaotong University, Chengdu 610031, China
2. National-Local Joint Engineering Laboratory of System Credibility Automatic Verification, Chengdu 610031, China

Abstract

At present, the widely used method for learnt clauses deletion strategy is based on the LBD evaluation method, which deletes the learnt clauses with the first half of the LBD value in each deletion operation. For the large LBD value, this method is too aggressive. To solve this problem, this paper proposed an evaluation method that used back-jump levels to preserve the relevant learnt clauses with large LBD value. Based on the CDCL complete algorithm, it formed the BJL deletion algorithm in the learnt clauses deletion stage. It conducted a comparative experiment on the newly improved version and the original version by testing the 2017 SAT international competition. Experiments show that the proposed strategy can significantly improve the solver's performance and efficiency.

Foundation Support

国家自然科学基金资助项目(61673320)
中央高校基本科研业务费专项资金资助项目(2682018ZT10,2682018CX59)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.07.0269
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 11
Section: Algorithm Research & Explore
Pages: 3316-3320
Serial Number: 1001-3695(2020)11-023-3316-05

Publish History

[2020-11-05] Printed Article

Cite This Article

沈雪, 陈树伟, 徐扬, 等. 基于回跳层数的SAT求解器学习子句删除策略 [J]. 计算机应用研究, 2020, 37 (11): 3316-3320. (Shen Xue, Chen Shuwei, Xu Yang, et al. Back-jump levels based learnt clauses deletion strategy for SAT solver [J]. Application Research of Computers, 2020, 37 (11): 3316-3320. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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