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A competitive and cooperative approach to propositional satisfiability

机译:命题可满足性的竞争与合作方法

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摘要

Propositional satisfiability (SAT) has attracted considerable attention recently in both Computer Science and Artificial Intelligence, and a lot of algorithms have been developed for solving SAT. Each SAT solver has strength and weakness, and it is difficult to develop a universal SAT solver which can efficiently solve a wide range of SAT instances. We thus propose parallel execution of SAT solvers each of which individually solves the same SAT instance simultaneously. With this competitive approach, a variety of SAT instances can be solved efficiently in average. We then consider a cooperative method for solving SAT by exchanging lemmas derived by conflict analysis among different SAT solvers. To show the usefulness of our approach, we solve SATLIB benchmark problems, planning benchmark problems as well as the job-shop scheduling problem with good performance. The system has been implemented in Java with both systematic and stochastic solvers. (c) 2006 Elsevier B.V. All rights reserved.
机译:命题可满足性(SAT)最近在计算机科学和人工智能领域引起了相当大的关注,并且已经开发了许多算法来求解SAT。每个SAT解算器都有其优点和缺点,因此很难开发出一种可以有效解决各种SAT实例的通用SAT解算器。因此,我们建议并行执行SAT解算器,每个解算器分别同时解决同一SAT实例。使用这种竞争性方法,可以平均有效地解决各种SAT实例。然后,我们考虑在不同的SAT解算器之间交换通过冲突分析得出的引理来求解SAT的协作方法。为了展示我们方法的有效性,我们以良好的性能解决了SATLIB基准问题,计划基准问题以及车间调度问题。该系统已用Java实现,具有系统性和随机性求解器。 (c)2006 Elsevier B.V.保留所有权利。

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