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Using Combinatorial Benchmarks to Probe the Reasoning Power of Pseudo-Boolean Solvers

机译:使用组合基准探讨伪布尔求解器的推理力量

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We study cdcl-cuttingplanes, Open-WBO, and Sat4j, three successful solvers from the Pseudo-Boolean Competition 2016, and evaluate them by performing experiments on crafted benchmarks designed to be trivial for the cutting planes (CP) proof system underlying pseudo-Boolean (PB) proof search but yet potentially tricky for PB solvers. Our experiments demonstrate severe shortcomings in state-of-the-art PB solving techniques. Although our benchmarks have linear-size tree-like CP proofs, and are thus extremely easy in theory, the solvers often perform quite badly even for very small instances. We believe this shows that solvers need to employ stronger rules of cutting planes reasoning. Even some instances that lack not only Boolean but also real-valued solutions are very hard in practice, which indicates that PB solvers need to get better not only at Boolean reasoning but also at linear programming. Taken together, our results point to several crucial challenges to be overcome in the quest for more efficient pseudo-Boolean solvers, and we expect that a further study of our benchmarks could shed more light on the potential and limitations of current state-of-the-art PB solving.
机译:我们研究CDCL-cuttingplanes,开WBO和Sat4j,从伪布尔大赛2016三次成功解算器,并通过设计为平凡的切割面制作的基准进行实验,评估他们(CP)证明系统底层伪布尔(PB)的证明搜索,但仍然有可能棘手PB求解。我们的实验表明,在国家的最先进的解决PB严重的技术缺陷。虽然我们的基准具有线性尺寸的树状CP证明,因而是极其容易在理论上,求解往往是非常小的情况下的表现相当糟糕,甚至。我们认为,这表明,求解器需要使用切割面的推理规则更强。甚至某些情况下,缺乏不仅布尔也是实值解决方案是很难在实践中,这表明PB解决者不仅需要在布尔推理而且在线性规划变得更好。总之,我们的研究结果指出在寻求克服更有效的伪布尔解算器几个关键的挑战,我们希望我们的基准测试的进一步的研究能够说明更多的光线上的潜力和状态,当前的局限性-art PB解决。

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