设每位同学自己的学号为n，采用遗传算法求解下面优化问题：

min f(x1,x2)=(4-2.1*x1^2+(x1^4)/3)*x1^2+x1*x2+(-4+4*x2^2)*x2^2+n-20111369



s.t. -3<x1<3 -2<x2<2





函数 为六峰值驼背函数（Six-hump Camel Back Function），要求如下：

（i）mesh()为Matlab中常用的画图函数，请查阅相关书籍或help，掌握mesh用法，画出 的三维图像；

（ii）用遗传算法工具箱求解该优化问题，给出求解结果，画出每代群体的最优适应度、适应度均值图像。

（iii）尝试至少一种提高求解效果的方法，并简单比较、分析。

-Set each student their own student number for n, using the genetic algorithm for solving the following optimization problem:

Min (x1, x2) = f (4-2.1* x1 ^ 2+ (x1 ^ 4)/(3)* x1 ^ 2* x2+ x1+ x2 ^ (4+ 4* 2)* x2 ^ 2+ n- 20111369

S.t.- 3 < x1 < 3-2 "x2" 2

Functions for Six peak hunchback (Six- hump Camel Back Function), the requirements are as follows:

(I) mesh () as that is commonly used in Matlab drawing function, or help please refer to the relevant books, to master the use mesh, draw the 3 d image

(ii) using genetic algorithm toolbox to solve the optimization problem, is given as a result, to draw the best fitness of each generation group, the mean fitness images.

(iii) to try at least a way to improve the effect of solution, and a simple comparison and analysis.