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An Integer Programming Approach to Fuzzy Symmetry Detection

机译:模糊对称检测的整数规划方法

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The problem of exact symmetry detection in general graphs has received much attention recently. In spite of its NP-hardness, two different algorithms have been presented that in general can solve this problem quickly in practice. However, as most graphs do not admit any exact symmetry at all, the much harder problem of fuzzy symmetry detection arises: a minimal number of certain modifications of the graph should be allowed in order to make it symmetric. We present a general approach to this problem: we allow arbitrary edge deletions and edge creations; every single modification can be given an individual weight. We apply integer programming techniques to solve this problem exactly or heuristically and give runtime results for a first implementation.
机译:通用图形中精确对称性检测的问题最近受到了广泛关注。尽管具有NP硬度,但已提出了两种不同的算法,这些算法通常可以在实践中快速解决此问题。但是,由于大多数图形根本不容许任何精确的对称性,因此出现了模糊对称检测的更加困难的问题:应允许图形的最小数量的某些修改以使其对称。我们提出了一个解决这个问题的通用方法:我们允许任意边缘的删除和边缘的创建;每个单独的修改都可以赋予单独的权重。我们应用整数编程技术来完全或启发式地解决此问题,并给出第一个实现的运行时结果。

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