遗传算法的基本步骤如下：
1）在一定编码方案下，随机产生一个初始种群；
2）用相应的解码方法，将编码后的个体转换成问
题空间的决策变量，并求得个体的适应值；
3）按照个体适应值的大小，从种群中选出适应值
较大的一些个体构成交配池；
4）由交叉和变异这两个遗传算子对交配池中的
个体进行操作，并形成新一代的种群；
5）反复执行步骤2-4，直至满足收敛判据为止。(The basic steps of the genetic algorithm are as follows:
1) under certain coding schemes, an initial population is randomly generated;
2) use the corresponding decoding method to convert the encoded individuals into questions
The decision variable of the problem space is obtained and the fitness value of the individual is obtained;
3) according to the size of individual fitness, the fitness is selected from the population
Larger individuals constitute mating pools;
4) by crossover and mutation, these two genetic operators are pairs of mating pools
Individuals operate and form a new generation of populations;
5) repeat step 2-4 until the convergence criterion is satisfied.)