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Finding happiness: An analysis of the maximum happy vertices problem

机译:寻找幸福:最大幸福顶点问题的分析

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The maximum happy vertices problem involves determining a vertex colouring of a graph such that the number of vertices assigned to the same colour as all of their neighbours is maximised. This problem is trivial if no vertices are precoloured, though in general it is NP-hard. In this paper we derive a number of upper and lower bounds on the number of happy vertices that are achievable in a graph and then demonstrate how certain problem instances can be broken up into smaller subproblems. Four different algorithms are also used to investigate the factors that make some problem instances more difficult to solve than others. In general, we find that the most difficult problems are those with relatively few edges and/or a small number of precoloured vertices. Ideas for future research are also discussed.
机译:最大幸福顶点问题涉及确定图的顶点着色,以使分配给所有相邻像素的相同颜色的顶点数目最大化。如果没有预先着色顶点,这个问题就很简单了,尽管通常来说它是NP难的。在本文中,我们得出了图中可实现的快乐顶点数量的上界和下界,然后演示了如何将某些问题实例分解为较小的子问题。还使用四种不同的算法来调查使某些问题比其他问题更难解决的因素。通常,我们发现最困难的问题是边缘相对较少和/或预着色顶点数量少的问题。还讨论了未来研究的想法。

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