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一次性求解多个SAT问题
引用本文:郑黎辉,左万利.一次性求解多个SAT问题[J].长春邮电学院学报,2010(2):136-140.
作者姓名:郑黎辉  左万利
作者单位:吉林大学计算机科学与技术学院,长春130012
基金项目:基金项目:国家自然科学基金资助项目(60373099);吉林省科技发展计划基金资助项目(20070533);国家教育部高等学校博士学科点专项科研基金资助项目(200801830021);吉林大学基本科研业务费交叉学科与创新基金资助项目(200810025)
摘    要:在实际应用中通常需要求解对应CNF(ConjunctiveNormalForm)公式之间仅相差几个子句的一系列SAT(SatisfiabilityProblem)问题,但目前绝大多数SAT求解算法都是针对单一SAT问题设计的。为此,基于DPLL提出了nDPLL算法,并在随机问题上对该算法的效率进行测试。实验结果表明,nDPLL算法能一次性求解多个SAT问题,对于特定范围的CNF公式集具有较高的效率,CNF公式集的规模越大、相近因子越高、子句数和变量数的比值越大,则nDPLL算法的效率越高。

关 键 词:自动推理  DPLL算法  可满足性

Solution to Set of SAT Problems
ZHENG Li-hui,ZUO Wan-li.Solution to Set of SAT Problems[J].Journal of Changchun Post and Telecommunication Institute,2010(2):136-140.
Authors:ZHENG Li-hui  ZUO Wan-li
Affiliation:(College of Computer Science and Technology, Jilin University, Changchun 130012, China)
Abstract:In practical applications, we always need to resolve a series SAT (Satisfiability Problem) problems which only differ in a few clauses between corresponding CNF ( Conjunctive Normal Form) formulas. However, most of current SAT solving algorithms are designed for single SAT problem. An algorithm is proposed which is based on DPLL and can solve a set of SAT problems at a time. Tests on random problems demonstrated that: nDPLL algorithm reflects high efficiency on some CNF formulas ; the efficiency of nDPLL is proportional to the size of CNF formulas, close factor and the ratio between the number of clauses and variables.
Keywords:automated reasoning  DPLL algorithm  satisfiability
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