基于冲突率的分支启发式CDCL - SAT求解方法

Qingshan Chen, Yang Xu, Guanfeng Wu, Xingxing He
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引用次数: 1

摘要

现代SAT求解器通常通过增加每个冲突的碰撞值来更新相应变量的分数。这些值通常是恒定的,但与决策级别和冲突无关。有时,局部冲突优化效率更高,但全局搜索效率较低。本文提出了一种冲突速率分支(CRB)方法,它是VSIDS的一种变体,但实现方式不同。当冲突分析中使用某个变量时,CRB将更新与决策水平和冲突相结合的得分。我们将CRB与MiniSat求解器集成在一起,并根据2015年SAT竞赛的实例评估了CRB。实验结果表明,该策略可以解决比EVSIDS更多的实例,并提高了SAT和UNSAT实例的性能。
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Conflicting rate based branching heuristic for CDCL SAT solvers
The modern SAT solvers usually update score of corresponding variables by increasing a bump value on each conflict. Those values are usually constant, but are independent of decision levels and conflicts. Sometimes, it is more efficient for local conflict optimization but weak in global searching. In this paper, we propose a CRB method (Conflicting Rate Branching), which is a variant of VSIDS but different implementation. The CRB updates the score which integrated with the decision level and conflicts whenever a variable is used in conflict analysis. We integrated CRB with MiniSat solvers and evaluated CRB on instances from the SAT Race 2015. Experimental results show that the proposed strategy can solve more instances than EVSIDS and improve performance for both SAT and UNSAT instances.
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