Empirical Analysis of the RC2 MaxSAT Algorithm

S. Kochemazov, V. Kondratiev, I. Gribanova
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Abstract

The Boolean satisfiability problem (SAT) and maximum satisfiability problem (MaxSAT) are among the most well-known combinatorial problems in today’s computer science. The algorithms for their solving also go hand-in-hand, in that most MaxSAT solvers employ SAT solvers as the so-called oracles. In the present paper we perform a computational study of the RC2 algorithm, which is among the best state-of-the-art algorithms for MaxSAT solving. We view it from the SAT oracle viewpoint and consider how the SAT oracle’s runtime is distributed among RC2 procedures and heuristics, and how this statistics differs depending on the SAT solver employed as an oracle. In addition to that we consider the two baseline MSE’18 configurations of RC2, analyze their performance and experiment with blending them together.
RC2 MaxSAT算法的实证分析
布尔可满足性问题(SAT)和最大可满足性问题(MaxSAT)是当今计算机科学中最著名的组合问题。它们的求解算法也是齐头并进的,因为大多数MaxSAT求解器都使用SAT求解器作为所谓的神谕。在本文中,我们对RC2算法进行了计算研究,该算法是求解MaxSAT的最佳最先进算法之一。我们从SAT oracle的角度来看待它,并考虑SAT oracle的运行时是如何在RC2过程和启发式之间分布的,以及这些统计数据如何根据作为oracle使用的SAT求解器而有所不同。除此之外,我们还考虑了RC2的两个基线MSE ' 18配置,分析了它们的性能并进行了混合它们的实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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