拟态是无数代自然选择和遗传变异的进化而获得的有利特征的结果。
Mimicry arises as the result of evolution through natural selection and the occurrence of random genetic mutations that lead over many generations to the appearance of favorable characteristics.
遗传算法是一种基于自然选择和遗传机制的搜索算法，比较适合于求解电力系统无功优化问题。
As a kind of search algorithm is fairly fit for solution to the problem of reactive power optimization.
在广泛的遗传因子制约中，人类可以选择什么时候上床睡觉和起床。
Within broad genetic constraints, humans can choose what time to go to bed and get up.
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