The graph theory principle coordinates analysis is an ideality method for studying the human population genetic structure.
图论主坐标分析是分析人类群体遗传结构的一种理想方法。
Objective: To present the methodology of graph theory principle coordinates analysis and explore its applicability for studying human population genetic structure.
目的：提出基因频率矩阵的图论主坐标分析方法，探讨该法在人类群体遗传结构研究中的应用。
The graph theory multidimensional scaling analysis is ideality method for studying the human population genetic structure.
图论多维尺度分析是分析人类群体遗传结构的一种理想方法。
This paper presents the methodology of graph theory multidimensional scaling analysis, and explores its applicability for studying human population genetic structure.
提出基因频率矩阵的图论多维尺度分析方法，探讨该法在人类群体遗传结构研究中的应用。
It proves a schema theorem for genetic algorithms in which representation schema is based on graph grammar. The effect of crossover and mutation on schemata is described.
证明了一个基于图文法表示机制的遗传算法模式定理，描述了交叉和突变对模式作用的效果。
It proves a schema theorem for genetic algorithms in which representation schema is based on graph grammar. The effect of crossover and mutation on schemata is described.
证明了一个基于图文法表示机制的遗传算法模式定理，描述了交叉和突变对模式作用的效果。
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