进化算法（如纯遗传算法）是元启发式算法。 这意味着，它们是一个通用框架和一组概念准则，可用于创建特定的算法以解决特定的问题。 因此，本文中介绍的示例可以看作是实验和创建进化优化代码的起点，而不是固定的静态代码库。(Evolutionary algorithms (such as pure genetic algorithms) are meta heuristic algorithms. This means that they are a generic framework and a set of conceptual guidelines that can be used to create specific algorithms to solve specific problems. Therefore, the examples presented in this article can be seen as the starting point for experiments and the creation of evolutionary optimization code, rather than a fixed static code library.)