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Resizing cardinality constraints for MaxSAT

机译:调整MaxSAT的基数约束

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摘要

In this paper we describe several variations of the incremental MSU3 and MSU4 algorithms for the MaxSAT problem, and show that some of these improve performance. Among the variations considered are new cardinality constraint encodings which enable incrementally updating the constraint, and have smaller worst-case size than those encodings previously considered. The new cardinality encodings are based on the well-known sorting networks. The incremental approach is also extended, in a novel way, inspired by the idea behind resizing arrays. Best performance was achieved when the totalizer encoding was used in conjunction with sorting networks; unlike other implementations of such combinations in the literature we found that to get best performance, sorting networks should be used very sparingly. We submitted a solver using a version of the methods described in this paper to the 2017 MaxSAT evaluation where it placed fourth out of 8 solvers participating in the unweighted category.
机译:在本文中,我们描述了针对MaxSAT问题的增量MSU3和MSU4算法的几种变体,并表明其中一些改进了性能。在考虑的变体中有新的基数约束编码,该编码使增量更新约束成为可能,并且比以前考虑的编码的最坏情况大小更小。新的基数编码基于众所周知的排序网络。增量方法也以新颖的方式得到了扩展,其灵感来自于调整数组大小的想法。当累加器编码与分类网络结合使用时,可以实现最佳性能。与文献中此类组合的其他实现不同,我们发现为获得最佳性能,应非常谨慎地使用分类网络。我们使用本文所述方法的一种版本将求解器提交给2017 MaxSAT评估,该评估器在未加权类别的8个求解器中排名第四。

著录项

  • 来源
    《AI communications》 |2018年第4期|355-367|共13页
  • 作者单位

    Univ Bergen, Dept Informat, Bergen, Norway;

    Univ Concepcion, Comp Sci Dept, Concepcion, Chile;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    MaxSAT; cardinality encoding;

    机译:MaxSAT;基数编码;

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