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Optimizing a BDD-Based Modal Solver

机译:优化基于BDD的模态求解器

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In an earlier work we showed how a competitive satisfiability solver for the modal logic K can be built on top of a BDD package. In this work we study optimization issues for such solvers. We focus on two types of optimizations. First we study variable ordering, which is known to be of critical importance to BDD-based algorithms. Second, we study modal extensions of the pure-literal rule. Our results show that the payoff of the variable-ordering optimization is rather modest, while the payoff of the pure-literal optimization is quite significant. We benchmark our optimized solver against both native solvers (DLP) and translation-based solvers (MSPASS and SEMPROP). Our results indicate that the BDD-based approach dominates for modally heavy formulas, while search-based approaches dominate for propositionally-heavy formulas.
机译:在早期的工作中,我们展示了模态逻辑K的竞争性可满足性求解器如何构建在BDD包的顶部。在这项工作中,我们研究了这种求解器的优化问题。我们专注于两种类型的优化。首先,我们研究了可变排序,已知对基于BDD的算法至关重要。其次,我们研究纯文字规则的模态扩展。我们的结果表明,可变排序优化的收益相当谦虚,而纯文字优化的回报则非常显着。我们将优化的求解器基准测试,针对原生溶剂(DLP)和基于转换的求解器(MSPASS和SEMPROP)。我们的结果表明,基于BDD的方法为模态重的公式主导,而基于搜索的方法为主导的致力于主导的公式。

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