Genetic algorithms mimic Darwinian natural selection, where "fitness" selects individuals for survival, breeding, and, hence, adaptive mutation.
遗传算法模仿达尔文的自然选择，其中“适应性”选择进行生存、繁殖以及由此而来的适应性变异的个体。
In accordance with character of space mutation, improvement method of breeding and enhancing efficiency of breeding have been studied.
同时针对航天诱变的特点，进行了改进育种方法和提高诱变效果的研究。
Discussion is made on some applications of the model, including the theoretical studies, genetic analyses and parameters' estimation in mutation breeding.
对模型的一些应用作了讨论，包括诱变育种中的理论研究、遗传分析和参数估计。
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