这是一个应用遗传算法解决的函数优化问题，通过一系列的交叉变异得到最优的函数解。- This is an application of genetic algorithms to solve the function optimization problem, through a series of cross-variance function of the optimal solution.

利用JAVA语言实现遗传算法，里面包含利用遗传算法解决函数求最优解的简单例子。-The use of JAVA language implementation of genetic algorithm, which includes the use of genetic algorithms to solve function for the optimal solution of a simple example.

实现了基因遗传算法，实现了交叉，变异，突变等操作，最终产生最优解-Achieve a genetic algorithm to achieve the crossover and mutation, mutation and other operations, and ultimately produce the optimal solution

使用java实现遗传算法，求出max{f(x1,x2)=21.5+x1*sin(4*π*x1)+x2*sin(20*π*x2)}的最优解 约束条件为 -3.0<=x1<=12.1 4.1<=x2<=5.8(The use of Java genetic algorithm, calculate the max{f (x1, x2) =21.5+x1*sin (4* PI *x1 +x2*sin (*x2) 20* PI)} of the optimal solutio