着色图顶点的分布式模拟

M. Soklic, J. Žerovnik
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引用次数: 4

摘要

讨论了已知为np完全的图顶点的着色问题。作者提出了这个问题的另一种解决方案,即分布式模拟,它使用并行随机启发式算法对图顶点的颜色进行局部决策。该算法基于统计力学中的粒子间系统。由于算法在局部工作,它可能是高度并行的。对一个图的n个顶点的着色过程的模拟可以看作是并行运行的n个分布式进程的集合。仿真算法用Occam 2语言实现,并在微机系统上运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed simulation of coloring graph vertices
The problem of coloring graph vertices, known to be NP-complete, is discussed. The authors present an alternative solution to this problem as a distributed simulation which uses a parallel randomized heuristic algorithm for making local decisions to color graph vertices. The algorithm is based on an inter-particle system from statistical mechanics. Since the algorithm works locally, it is likely to be highly parallel. The simulation of a coloring process on n vertices of a graph can be seen as a set of n distributed processes running in parallel. The simulation algorithm is implemented in Occam 2 language and runs on a transputer system.<>
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