中文说明：遗传算法是解决搜索问题的一种通用算法，对于各种通用问题都可以使用。遗传算法提供了一种求解复杂系统问题的通用框架，它不依赖于问题的具体领域，对问题的种类有很强的鲁棒性。随着问题规模的增大，组合优化问题的搜索空间也急剧增大，有时在目前的计算上用 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 is a search algorithm to solve common problems, for a variety of common problems can be used. Genetic algorithms provide a system for solving complex problems common framework, it does not depend on specific problem areas, on the kind of problem has a strong robustness. With the increasing size of the problem, a combinatorial optimization problem search space increases rapidly, sometimes in the current calculated using the enumeration method is difficult to obtain the optimal solution. For such a complex problem, people have realized that the main focus should be on seeking satisfactory solution, the genetic algorithm is to find one of the best tools such satisfactory solution. In addition, GA also production scheduling, automation, robotics, image processing, artificial life, genetic coding, and machine learning, etc. gained wide use.