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A new method to obtain relaxed problems of the maximum clique problem with using chordal supergraphs and chordal subgraphs

机译:使用Chordal Supergraphs和Chordal子图获得最大Clique问题的放宽问题的新方法

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摘要

It is known that Lagrangean relaxation is useful to obtain tight upper bounds for some combinatorial optimization problems. However, for the maximum clique problem, utilizing Lagrangean relaxation in a straightforward manner does not give tight upper bounds. In this paper, we present two methods for obtaining good upper bounds for this problem. In order to construct relaxed problems, the first method makes several chordal supergraphs of the given graph, while the second one creates several vertex induced chordal subgraphs. Experimental results show that our methods can compute better upper bounds than the simple Lagrangean relaxation.
机译:众所周知,拉格朗日松弛可用于获得一些组合优化问题的紧密上限。 然而,对于最大的Clique问题,利用Lagrangean松弛以直接的方式不会给出紧密的上限。 在本文中,我们提出了两种获得该问题的良好上限的方法。 为了构建轻松的问题,第一种方法使得给定图的几个曲线超图,而第二个方法产生了几个顶点诱导的曲线图。 实验结果表明,我们的方法可以计算比简单的拉格朗日放松更好的上限。

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