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Partial symmetry breaking by local search in the group

机译:通过局部搜索破坏局部对称

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摘要

The presence of symmetry in constraint satisfaction problems can cause a great deal of wasted search effort, and several methods for breaking symmetries have been reported. In this paper we describe a new method called Symmetry Breaking by Nonstationary Optimisation, which interleaves local search in the symmetry group with backtrack search on the constraint problem. It can be tuned to break each symmetry with an arbitrarily high probability with high runtime overhead, or as a lightweight but still powerful method with low runtime overhead. It has negligible memory requirement, it combines well with static lex-leader constraints, and its benefit increases with problem hardness.
机译:约束满足问题中对称的存在会导致大量的搜索工作浪费,并且已经报道了几种破坏对称的方法。在本文中,我们描述了一种称为“通过非平稳优化来打破对称”的新方法,该方法将对称组中的局部搜索与约束问题的回溯搜索交织在一起。可以将其调整为以高的运行时开销以任意高的概率破坏每个对称性,或者以低的运行时开销将其作为一种轻量级但仍然强大的方法。它的存储要求可以忽略不计,并且与静态lex-leader约束很好地结合在一起,并且随着问题硬度的增加其好处也随之增加。

著录项

  • 来源
    《Constraints 》 |2012年第2期| p.148-171| 共24页
  • 作者单位

    Cork Constraint Computation Centre, Department of Computer Science,University College Cork, Cork, Ireland;

    Department of Computer Engineering, Izmir University of Economics, Izmir, Turkey;

    Cork Constraint Computation Centre, Department of Computer Science,University College Cork, Cork, Ireland;

    Business School, The University of Edinburgh, Edinburgh, UK;

    Department of Management, Hacettepe University, Ankara, Turkey;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    symmetry breaking; local search; matrix symmetry;

    机译:对称破坏本地搜索;矩阵对称;

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