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arXiv 2201.12650cs.DMmath.CO
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关于鲁棒着色问题的新结果

New results on the robust coloring problem

Delia Garijo, Alberto Márquez, Rafael Robles

AI总结:

本文针对鲁棒着色问题提出新方法,首次给出一般图的非启发式结果,证明其更接近均衡划分,并解决两色情形的NP完全性及相关猜想。

摘要:

经典图着色模型的许多变体因其多种应用而受到深入研究;例如,调度问题和飞机分配问题就促使了鲁棒着色问题的提出。该模型通过结合两种着色提供的信息来捕捉这些优化问题的自然约束:图的一个顶点着色及其补图的某个子图上的诱导边着色;其目标是在固定颜色数的所有适当着色中,最小化子图中端点颜色相同的边的数量。对鲁棒着色模型的研究一直集中在启发式算法的搜索上,因为当使用至少三种颜色时该问题是NP难的,但在其他方向上进展甚微。我们提出了一种新方法,获得了针对一般图的第一个非启发式结果集合;其中,我们证明了鲁棒着色是更接近顶点集均衡划分的模型,即使图不允许所谓的“均衡着色”。我们还证明了其决策问题在未解决的两色情况下的NP完全性,获得了相关鲁棒着色参数的界,并解决了一个关于路径的猜想,该猜想说明了研究这种着色模型的复杂性。

英文摘要:

Many variations of the classical graph coloring model have been intensively studied due to their multiple applications; scheduling problems and aircraft assignments, for instance, motivate the robust coloring problem. This model gets to capture natural constraints of those optimization problems by combining the information provided by two colorings: a vertex coloring of a graph and the induced edge coloring on a subgraph of its complement; the goal is to minimize, among all proper colorings of the graph for a fixed number of colors, the number of edges in the subgraph with the endpoints of the same color. The study of the robust coloring model has been focused on the search for heuristics due to its NP-hard character when using at least three colors, but little progress has been made in other directions. We present a new approach on the problem obtaining the first collection of non-heuristic results for general graphs; among them, we prove that robust coloring is the model that better approaches the equitable partition of the vertex set, even when the graph does not admit a so-called \emph{equitable coloring}. We also show the NP-completeness of its decision problem for the unsolved case of two colors, obtain bounds on the associated robust coloring parameter, and solve a conjecture on paths that illustrates the complexity of studying this coloring model.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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