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New evolutionary approach to the GCP: a premature convergence and an evolution process character

机译:GCP的新进化方法:过早的融合和进化过程的特点

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This paper presents a new approach to the graph coloring problem (GCP) which utilizes information about conflict localization in a given coloring. In this context a partial fitness function (pff) and its usage to specialize genetic operators and phenotypic measure of diversity in population are described. Particular attention is given to the investigation of the influence of the population size and the usage of genetic operators on the character of the evolution, especially influence leading to a premature convergence in the evolution process. Experiments based on benchmark DIMACS graphs are presented.
机译:本文提出了一种解决图形着色问题(GCP)的新方法,该方法利用有关给定着色中冲突定位的信息。在这种情况下,描述了部分适应度函数(pff)及其用于专门化遗传算子和人口多样性表型的测量。特别注意研究种群数量和遗传算子的使用对进化特征的影响,尤其是导致进化过程过早收敛的影响。提出了基于基准DIMACS图的实验。

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