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。
It mimics Darwinian natural selection, making "fitness" (as determined by a formula applied to an individual) the chief selector of individuals for survival and procreation, together with mutation.
它模拟达尔文的自然选择，还有变异，把“适应性”(正如适用于个体的公式所决定的那样)作为主要因素选择生存繁衍和变异的个体。
It mimics Darwinian natural selection, making "fitness" (as determined by a formula applied to an individual) the chief selector of individuals for survival and procreation, together with mutation.
它模拟达尔文的自然选择，还有变异，把“适应性”(正如适用于个体的公式所决定的那样)作为主要因素选择生存繁衍和变异的个体。
应用推荐