Ordering heuristics for Singleton Arc Consistency

Chuiliu Kong, Shi-mei Xing
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Abstract

The use of consistency techniques is the main feature of any Constraint Satisfaction Problems(CSPs)solver. Arc Consistency (AC) applied to preprocessing can reduce the search space by removingthe values which are arc inconsistent. Singleton Arc Consistency (SAC) is a stronger level of consistencythan AC. Arc consistency technique with heuristic strategy has been proved to be an efficient techniqueto improve the efficiency of algorithms. In this paper, we first study the well-known SAC-3 algorithm indetail, and propose two algorithms with heuristic strategies for the drawbacks in SAC-3, SAC-3-FFPand SAC-3-MINIsup. Then, we give the correctness proof and complexity analysis. In the end, we implement the two algorithms in some random CSPs and benchmarks during the preprocessing step. Experimental results show that the two algorithms perform better than SAC-3 for most test cases.
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单例弧一致性的排序启发式
一致性技术的使用是任何约束满足问题(csp)求解器的主要特征。将圆弧一致性(Arc Consistency, AC)应用到预处理中,可以通过去除圆弧不一致的值来减少搜索空间。单弧一致性(SAC)是一种比AC更强的一致性,启发式策略的弧一致性技术已被证明是提高算法效率的有效技术。本文首先对著名的SAC-3算法进行了详细的研究,并针对SAC-3算法的缺陷提出了两种启发式算法:SAC-3- ffpand SAC-3- minisup。然后给出了正确性证明和复杂度分析。最后,在预处理阶段,我们在一些随机csp和基准测试中实现了这两种算法。实验结果表明,在大多数测试用例中,这两种算法的性能都优于SAC-3。
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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