可满足性问题研究进展

RESEARCH PROGRESS OF BOOLEAN SATISFIABILITY PROBLEM

  • 摘要: 可满足性问题是一种NP完全问题,被广泛运用于人工智能和机器学习等研究方面。基于近年来对可满足性问题的研究,对可满足性问题的定义与因子图的特征进行介绍;从可满足性问题的结构特征入手,分类介绍相变、树宽与树分解、结构熵等;将求解算法分为四类(完备性算法、信息传播算法、局部搜索算法和智能优化算法)分别进行归纳;分析可满足性问题的各类实际应用;对可满足性问题研究的发展趋势进行展望与总结。

     

    Abstract: The Boolean satisfiability problem is a kind of NP-complete problem, which is widely used in artificial intelligence and machine learning. Based on the research of satisfiability problem in recent years, the definition of satisfiability problem and the feature of factor graph were introduced. From the structural characteristics of satisfiability problem, phase transformation, treewidth and decomposition, structural entropy and so on were introduced. The algorithms were divided into four categories (completeness algorithm, message passing algorithm, stochastic local search algorithm and intelligent optimization algorithm). The practical application of satisfiability problem was analyzed. The development trend of satisfiability research was prospected and summarized.

     

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