中文说明：遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法。遗传算法表问题是从代可能潜在的解集的一个种群（population）开始的，而一个种群则由经过基因（gene）编码的一定数目的个体(individual)组成。每个个体实际上是染色体(chromosome)带有特征的实体。染色体作为遗传物质的主要载体，即多个基因的 请点击左侧文件开始预览 ！预览只提供20%的代码片段，完整代码需下载后查看 加载中 侵权举报
English Description：
Genetic algorithm (GA) is a computational model simulating the natural selection and genetic mechanism of Darwinian biological evolution theory. It is a method to search the optimal solution by simulating the natural evolution process. The table problem of genetic algorithm starts with a population of potential solution sets, and a population is composed of a certain number of individuals encoded by genes. Each individual is actually a characteristic entity of chromosome. As the main carrier of genetic material, chromosome is the carrier of multiple genes