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首页> 外文期刊>Journal of King Saud University: Physics and Mathematics >Solving the graph coloring problem via hybrid genetic algorithms
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Solving the graph coloring problem via hybrid genetic algorithms

机译:通过混合遗传算法解决图形着色问题

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摘要

Let G = ( V , E ) an undirected graph, V corresponds to the set of vertices and E corresponds to the set of edges, we focus on the graph coloring problem (GCP), which consist to associate a color to each vertex so that two vertices connected do not possess the same color. In this paper we propose a new hybrid genetic algorithm based on a local search heuristic called DBG to give approximate values of χ ( G ) for GCP. The proposed algorithm is evaluated on the DIMACS benchmarks and numerical results show that the proposed approach achieves highly competitive results, compared with best existing algorithms.
机译:令G =(V,E)为无向图,V对应于一组顶点,E对应于一组边,我们关注图形着色问题(GCP),该问题涉及将颜色与每个顶点相关联,从而连接的两个顶点不具有相同的颜色。在本文中,我们提出了一种新的基于局部搜索启发式算法的混合遗传算法,称为DBG,以给出GCP的χ(G)近似值。该算法在DIMACS基准上进行了评估,数值结果表明,与现有的最佳算法相比,该方法具有很高的竞争力。

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