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Symmetry Breaking Constraints for Value Symmetries in Constraint Satisfaction

机译:约束满足中的值对称的对称打破约束

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Constraint satisfaction problems (CSPs) sometimes contain both variable symmetries and value symmetries, causing adverse effects on CSP solvers based on tree search. As a remedy, symmetry breaking constraints are commonly used. While variable symmetry breaking constraints can be expressed easily and propagated efficiently using lexicographic ordering, value symmetry breaking constraints are often difficult to formulate. In this paper, we propose two methods of using symmetry breaking constraints to tackle value symmetries. First, we show theoretically when value symmetries in one CSP correspond to variable symmetries in another CSP of the same problem. We also show when variable symmetry breaking constraints in the two CSPs, combined using channeling constraints, are consistent. Such results allow us to tackle value symmetries efficiently using additional CSP variables and channeling constraints. Second, we introduce value precedence, a notion which can be used to break a common class of value symmetries, namely symmetries of indistinguishable values. While value precedence can be expressed using inefficient if-then constraints in existing CSP solvers, we propose efficient propagation algorithms for implementing global value precedence constraints. We also characterize several theoretical properties of the value precedence constraints. Extensive experiments are conducted to verify the feasibility and efficiency of the two proposals.
机译:约束满足问题(CSP)有时同时包含变量对称性和值对称性,从而对基于树搜索的CSP求解器产生不利影响。作为补救措施,通常使用对称破坏约束。尽管可以使用词典顺序轻松地表达可变对称破坏约束并有效地进行传播,但是值对称破坏约束通常很难制定。在本文中,我们提出了两种使用对称突破约束来解决值对称问题的方法。首先,我们从理论上说明一个问题的CSP中的值对称性对应于另一个问题的CSP中的变量对称性。我们还显示了使用通道约束组合的两个CSP中的可变对称突破约束何时一致。这样的结果使我们能够使用其他CSP变量和渠道约束来有效解决价值对称问题。其次,我们介绍了值优先,这是一个可以用来打破常见的值对称性的概念,即无法区分的值的对称性。尽管可以在现有的CSP求解器中使用无效的if-then约束来表达价值优先权,但我们提出了用于实现全局价值优先权约束的有效传播算法。我们还表征了值优先约束的几个理论属性。进行了广泛的实验,以验证这两个建议的可行性和效率。

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