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Orbitopal Fixing

机译:兰花固定

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摘要

The topic of this paper are integer programming models in which a subset of 0/1-variables encode a partitioning of a set of objects into disjoint subsets. Such models can be surprisingly hard to solve by branch-and-cut algorithms if the order of the subsets of the partition is irrelevant. This kind of symmetry unnecessarily blows up the branch-and-cut tree. We present a general tool, called orbitopal fixing, for enhancing the capabilities of branch-and-cut algorithms in solving such symmetric integer programming models. We devise a linear time algorithm that, applied at each node of the branch-and-cut tree, removes redundant parts of the tree produced by the above mentioned symmetry. The method relies on certain polyhedra, called orbitopes, which have been investigated in [11]. It does, however, not add inequalities to the model, and thus, it does not increase the difficulty of solving the linear programming relaxations. We demonstrate the computational power of orbitopal fixing at the example of a graph partitioning problem motivated from frequency planning in mobile telecommunication networks.
机译:本文的主题是整数编程模型,其中0/1变量的子集将一组对象的分区编码为不相交的子集。如果分区子集的顺序无关紧要,则用分支剪切算法很难解决这类模型。这种对称性不必要地炸毁了分支切割树。我们提出了一种称为“轨道固定”的通用工具,用于增强分支和剪切算法在解决此类对称整数编程模型中的功能。我们设计了一种线性时间算法,该算法应用于分支剪切树的每个节点,以消除由上述对称性产生的树的冗余部分。该方法依赖于某些被称为轨道动物的多面体,在[11]中对此进行了研究。但是,它不会给模型增加不等式,因此不会增加求解线性规划松弛的难度。我们以移动通信网络中的频率规划为依据的图分区问题示例演示了轨道固定的计算能力。

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