选择(遗传算法)
基因座(遗传学)
人口
理论(学习稳定性)
突变
等位基因
突变率
序列(生物学)
统计物理学
静止状态
数学
遗传学
生物
计算机科学
物理
基因
人工智能
社会学
人口学
机器学习
量子力学
出处
期刊:Mathematical proceedings of the Cambridge Philosophical Society
[Cambridge University Press]
日期:1977-05-01
卷期号:81 (3): 435-441
被引量:48
标识
DOI:10.1017/s0305004100053500
摘要
Abstract An infinite genetic population of haploid particles is considered in which selection is controlled by a single locus at which there are an infinite number of possible alleles. These alleles are arranged in an infinite sequence and mutation occurs only to nearest neighbours. This is the ‘ladder model’ of Ohta and Kimura which was put forward as a possible explanation of the distributions of electromorphs in electrophoretic observations. Following an earlier paper, conditions are obtained on the selection coefficients which ensure that a stationary stable state exists. One such model is solved explicitly. The problem, important in evolutionary theory, of the rate of approach to such stationary states starting from some other state, is also discussed briefly.
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