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A heuristic algorithm for the set T-coloring problem

机译:集合T着色问题的启发式算法

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摘要

Graph theory is a convenient mathematical tool, which can be, used to model, as visual representations, problems that arise in various scientific fields and in real life practical problems. One of the most outstanding concepts in graph theory is the notion of graph coloring. A coloring of a graph G=(V, E) is an assignment of colors to its nodes so that no two adjacent nodes have the same color. A coloring of G with k colors is a k-coloring. The nodes that are assigned the same color are independent and they form a color class. The smallest k for which G has a k-coloring is the chromatic number /spl chi/(G). The k-coloring of an arbitrary graph G is NP-complete, while the determination of the chromatic number is NP-hard. We develop a heuristic algorithm, called STC that uses greedy techniques so as to find an approximate value of the D-set-T-chromatic number /spl chi//sub DT/(G).
机译:图论是一种方便的数学工具,可以将其用作各种科学领域和现实生活中的实际问题的可视化表示形式。图论中最杰出的概念之一就是图着色的概念。图形G =(V,E)的着色是对其节点的颜色分配,因此没有两个相邻的节点具有相同的颜色。用k种颜色对G进行着色是一种k着色。被分配相同颜色的节点是独立的,它们形成一个颜色类别。 G具有k色的最小k是色数/ spl chi /(G)。任意图G的k色是NP完全的,而色数的确定是NP难的。我们开发了一种启发式算法,称为STC,该算法使用贪婪技术来查找D-set-T-色数/ spl chi // sub DT /(G)的近似值。

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