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A Branching Strategy Based on the Length of Learnt Clause

机译:基于学习条款的长度的分支策略

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Decision strategy is as a great part in the CDCL algorithm, so the efficient branching strategy is one of the key features of the SAT problem solver. Originally some basic knowledge and concepts are brought in, then there are some concrete steps of the branching variable heuristic algorithm-VSIDS algorithm, finally based on the relationship between the learnt clause length and the decision level, a new branching strategy presents,which is also based on VSIDS strategy, the new branching strategy makes the difference between the decision levels of variables involved in conflict analysis and the the current conflict level as the conflict adding score conditions, and considering the learnt clause length as the adding score, in order to enhance the efficiency of variable selection, some examples of the VSIDS strategy and the new strategy are analyzed lastly.
机译:决策策略在CDCL算法中是一个很大的部分,因此有效的分支策略是SAT问题解决者的关键特征之一。最初的一些基本知识和概念被带入,然后存在分支变量启发式算法-VSIDS算法的一些具体步骤,最后基于学习子句长度与决策级别之间的关系,一个新的分支策略呈现,这也是如此基于VSIDS策略,新的分支策略使得冲突分析中涉及的变量决策级别与当前冲突级别之间的差异作为加入分数条件,并将学习子句长度视为添加得分,以增强最后分析了变量选择的效率,vsids策略的一些例子和新策略。

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