然后这些幸存者被 蒸馏成代表其适应性的数字，并存入 weights 数组里该幸存者所对应的位置。

The survivors are then distilled to their fitness numbers, which get put in their places in the weights array.

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在定义了数据结构和变量数组的基础上，给出了参数自学习过程算法，改善了模型样机对不同规格样本工件的适应性。

A parameter self-learning algorithm is presented after defining data structure and variable array to improve the prototype's adaptability to different size of workpieces.

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提出了数组链染色体编码方式，以及基于自适应性变异概率和模拟退火惩罚函数法的适应性遗传算法（AGA）。

This paper proposes the array chain chromosome coding and the Adaptive GA (AGA) that combines the self-adaptive mutation probability and simulation anneal punishment function.

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