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AN IMPROVED ALGORITHM FOR SOLVING SATISFIABILITY PROBLIEMS

机译:一种解决满意性问题的改进算法

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To solve boolean satisfiability (SAT) problems more efficient, this paper presents a polarity decision policy, which calculates the polarity of variable according to the Jeroslow-Wang heuristic and Glucose heuristic, the proposed approach is embed into the SAT solver Glucose2.3. Experiment results show that the performance of the new solver, named Glucose_IM, is better than Glucose2.3 on the application certified UNSAT instances and hard combinatorial SAT instances at SAT competition 2013.
机译:为了更有效地解决布尔可满足性(SAT)问题,提出了一种极性决策策略,该策略根据Jeroslow-Wang启发式和葡萄糖启发式计算变量的极性,并将该方法嵌入到SAT求解器Glucose2.3中。实验结果表明,在2013年的SAT竞赛中,新的求解器Glucose_IM的性能优于经应用认证的UNSAT实例和硬组合SAT实例的Glucose2.3。

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