Learning for Dynamic Subsumption

被引:10
|
作者
Hamadi, Youssef [1 ]
Jabbour, Said [2 ]
Sais, Lakhdar [2 ]
机构
[1] Microsoft Res, 7 JJ Thomson Ave, Cambridge, England
[2] Univ Lille Nord France, CRIL, CNRS, UMR 8188, F-59655 Villeneuve Dascq, France
关键词
D O I
10.1109/ICTAI.2009.22
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents an original dynamic subsumption technique for Boolean CNF formulae. It exploits simple and sufficient conditions to detect, during conflict analysis, clauses from the formula that can be reduced by subsumption. During the learnt clause derivation, and at each step of the associated resolution process, checks for backward subsumption between the current resolvent and clauses from the original formula are efficiently performed. The resulting method allows the dynamic removal of literals from the original clauses. Experimental results show that the integration of our dynamic subsumption technique within the state-of-the-art SAT solvers Minisat and Rsat particularly benefits to crafted problems.
引用
收藏
页码:328 / +
页数:2
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