图着色问题的并行混合算法

Jessica G. Urrea Guerrero, Xiomara P. Zaldivar-Colado, Rolando Menchaca-Méndez
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摘要

图着色问题属于NP- hard问题类,因此除非问题类P等于NP类,否则没有多项式算法可以求解。尽管这类问题非常复杂,但算法的发展至关重要,因为NP-Hard问题几乎出现在计算机科学的所有领域,如机器学习、计算机网络、操作系统、信息系统等。在本文中,我们提出了一种基于CUDA的混合进化算法的一组变体的并行实现,用于图的着色问题。这
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algoritmos híbridos paralelos para el problema de coloreado de grafos
The graph coloring problem belongs to the problem class NP-Hard, so unless the problem class P is equal to the class NP , there is no polynomial algorithm to solve it . Despite its high complexity, the development of algorithms for these types of problems are of the utmost importance due to the fact that the problems NP-Hard appear in almost all areas of computer science as machine learning , computer networks, operating systems, information systems, among others. In this paper, we propose a parallel implementation, based on CUDA, of a set of variants of a hybrid evolutionary algorithm for the problem of coloring graphs. This
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