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Ordering heuristics for Singleton Arc Consistency

机译:订购excleton acc一致性的启发式

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摘要

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.
机译:使用一致性技术是任何约束满足问题(CSPS)求解器的主要特征。应用于预处理的电弧一致性(AC)可以通过删除弧不一致的值来减少搜索空间。 Singleton电弧一致性(SAC)是一个更强大的一致性AC。已经证明了具有启发式战略的电弧一致性技术是一种高效的技术提高了算法的效率。在本文中,我们首先研究了众所周知的SAC-3算法均衡,并提出了两种具有启发式策略的遗传策略,用于SAC-3,SAC-3-FFPAND SAC-3 - 拆除。然后,我们给出了正确的证明和复杂性分析。最后,我们在预处理步骤期间在某些随机CSP和基准中实现这两个算法。实验结果表明,对于大多数测试用例,这两种算法比SAC-3更好。

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