用MATLAB如何求y=152.41x(1)+107.87x(2)+168.23x(3)+1622.45x(4)+439.81x(5)+703.13x(6)+385.19x(7)+90277.8/x(1)+64232/x(2)+95623.6/x(3)+920080/x(4)+173600/x(5)+416640/x(6)+225680/x(7)在有约束下的最大最小值和函数图像?
时间: 2023-08-10 16:05:17 浏览: 136
这是一个带有约束条件的优化问题。可以使用MATLAB中的fmincon函数来求解。具体步骤如下:
1. 定义目标函数和约束条件
```matlab
% 目标函数
fun = @(x) -(152.41*x(1)+107.87*x(2)+168.23*x(3)+1622.45*x(4)+439.81*x(5)+703.13*x(6)+385.19*x(7)+90277.8/x(1)+64232/x(2)+95623.6/x(3)+920080/x(4)+173600/x(5)+416640/x(6)+225680/x(7));
% 约束条件,包括不等式约束和等式约束
A = [];
b = [];
Aeq = [];
beq = [];
lb = [0;0;0;0;0;0;0]; % 下界约束
ub = [inf;inf;inf;inf;inf;inf;inf]; % 上界约束
```
2. 调用fmincon函数求解
```matlab
% 初始值
x0 = [1;1;1;1;1;1;1];
% 调用fmincon函数求解
[x,fval,exitflag,output] = fmincon(fun,x0,A,b,Aeq,beq,lb,ub);
```
3. 输出结果
```matlab
% 输出最优解和最优值
disp(['最优解为:', num2str(x')]);
disp(['最优值为:', num2str(-fval)]);
```
4. 绘制函数图像
```matlab
% 定义x的取值范围
x1 = linspace(0.1,10,100);
x2 = linspace(0.1,10,100);
x3 = linspace(0.1,10,100);
x4 = linspace(0.1,10,100);
x5 = linspace(0.1,10,100);
x6 = linspace(0.1,10,100);
x7 = linspace(0.1,10,100);
% 生成网格点
[X1,X2,X3,X4,X5,X6,X7] = ndgrid(x1,x2,x3,x4,x5,x6,x7);
% 计算目标函数值
Z = -(152.41*X1+107.87*X2+168.23*X3+1622.45*X4+439.81*X5+703.13*X6+385.19*X7+90277.8./X1+64232./X2+95623.6./X3+920080./X4+173600./X5+416640./X6+225680./X7);
% 绘制等值线图
contour(X1,X2,Z,50);
xlabel('x1');
ylabel('x2');
```
完整代码如下:
```matlab
% 目标函数
fun = @(x) -(152.41*x(1)+107.87*x(2)+168.23*x(3)+1622.45*x(4)+439.81*x(5)+703.13*x(6)+385.19*x(7)+90277.8/x(1)+64232/x(2)+95623.6/x(3)+920080/x(4)+173600/x(5)+416640/x(6)+225680/x(7));
% 约束条件,包括不等式约束和等式约束
A = [];
b = [];
Aeq = [];
beq = [];
lb = [0;0;0;0;0;0;0]; % 下界约束
ub = [inf;inf;inf;inf;inf;inf;inf]; % 上界约束
% 初始值
x0 = [1;1;1;1;1;1;1];
% 调用fmincon函数求解
[x,fval,exitflag,output] = fmincon(fun,x0,A,b,Aeq,beq,lb,ub);
% 输出最优解和最优值
disp(['最优解为:', num2str(x')]);
disp(['最优值为:', num2str(-fval)]);
% 定义x的取值范围
x1 = linspace(0.1,10,100);
x2 = linspace(0.1,10,100);
x3 = linspace(0.1,10,100);
x4 = linspace(0.1,10,100);
x5 = linspace(0.1,10,100);
x6 = linspace(0.1,10,100);
x7 = linspace(0.1,10,100);
% 生成网格点
[X1,X2,X3,X4,X5,X6,X7] = ndgrid(x1,x2,x3,x4,x5,x6,x7);
% 计算目标函数值
Z = -(152.41*X1+107.87*X2+168.23*X3+1622.45*X4+439.81*X5+703.13*X6+385.19*X7+90277.8./X1+64232./X2+95623.6./X3+920080./X4+173600./X5+416640./X6+225680./X7);
% 绘制等值线图
contour(X1,X2,Z,50);
xlabel('x1');
ylabel('x2');
```
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