clc clear y = [30, 60, 120, 480, 120, 255]; % 创建变量和约束 x = optimvar('x', 6, 'LowerBound', 0, 'Type', 'integer'); con1 = [x(1)*9 >= y(1); x(1)*9 + x(2)*6 >= y(1) + y(2); x(1)*9 + x(2)*6 + x(3)*4 >= y(1) + y(2) + y(3); x(1)*9 + x(2)*6 + x(3)*4 + x(4)*6 >= y(1) + y(2) + y(3) + y(4); x(1)*9 + x(2)*6 + x(3)*4 + x(4)*6 + x(5)*4 >= y(1) + y(2) + y(3) + y(4) + y(5); x(1)*9 + x(2)*6 + x(3)*4 + x(4)*6 + x(5)*4 +x(6)*8.5 >= y(1) + y(2) + y(3) + y(4) + y(5) + y(6)]; con2 = [x(1)*9 -9 <= y(1); x(1)*9 + x(2)*6 - 6 <= y(1) + y(2); x(1)*9 + x(2)*6 + x(3)*4 -4 <= y(1) + y(2) + y(3); x(1)*9 + x(2)*6 + x(3)*4 + x(4)*6 - 6 <= y(1) + y(2) + y(3) + y(4); x(1)*9 + x(2)*6 + x(3)*4 + x(4)*6 + x(5)*4 - 4 <= y(1) + y(2) + y(3) + y(4); x(1)*9 + x(2)*6 + x(3)*4 + x(4)*6 + x(5)*4 +x(6)*8.5- 8.5 <= y(1) + y(2) + y(3) + y(4)]; % 创建问题 prob = optimproblem; prob.Constraints.con1 = con1; prob.Constraints.con2 = con2; % 定义目标函数 obj = x(1) + x(2) + x(3) + x(4) + x(5) + x(6); prob.Objective = obj; % 求解问题 [sol, fval] = solve(prob); % 输出结果 x_values = sol.x; disp('x(1)的值:'); disp(x_values(1)); disp('x(2)的值:'); disp(x_values(2)); disp('x(3)的值:'); disp(x_values(3)); disp('x(4)的值:'); disp(x_values(4));这段代码跑出来显示错误使用 optim.problemdef.OptimizationExpression/horzcat 无法从 logical 转换为 OptimizationExpression。 出错 Untitled2 (line 12) con2 = [x(1)*9 -9 <= y(1);，请帮我纠正问题

根据错误提示，问题出在第12行的con2约束中。在Matlab中，用方括号[]创建约束是将多个约束水平组合成一个向量，但是你在第12行中使用了逗号分隔符，这导致了con2被视为逻辑向量而不是OptimizationExpression。你可以将方括号[]替换为竖线符号|，这将创建一个垂直的向量，从而解决这个问题。修改后的代码如下所示：

clc
clear

y = [30, 60, 120, 480, 120, 255]; % 创建变量和约束

x = optimvar('x', 6, 'LowerBound', 0, 'Type', 'integer');
con1 = [x(1)*9 >= y(1);
        x(1)*9 + x(2)*6 >= y(1) + y(2);
        x(1)*9 + x(2)*6 + x(3)*4 >= y(1) + y(2) + y(3);
        x(1)*9 + x(2)*6 + x(3)*4 + x(4)*6 >= y(1) + y(2) + y(3) + y(4);
        x(1)*9 + x(2)*6 + x(3)*4 + x(4)*6 + x(5)*4 >= y(1) + y(2) + y(3) + y(4) + y(5);
        x(1)*9 + x(2)*6 + x(3)*4 + x(4)*6 + x(5)*4 +x(6)*8.5 >= y(1) + y(2) + y(3) + y(4) + y(5) + y(6)];
con2 = [x(1)*9 -9 <= y(1) | 
        x(1)*9 + x(2)*6 - 6 <= y(1) + y(2) | 
        x(1)*9 + x(2)*6 + x(3)*4 -4 <= y(1) + y(2) + y(3) | 
        x(1)*9 + x(2)*6 + x(3)*4 + x(4)*6 - 6 <= y(1) + y(2) + y(3) + y(4) | 
        x(1)*9 + x(2)*6 + x(3)*4 + x(4)*6 + x(5)*4 - 4 <= y(1) + y(2) + y(3) + y(4) | 
        x(1)*9 + x(2)*6 + x(3)*4 + x(4)*6 + x(5)*4 +x(6)*8.5- 8.5 <= y(1) + y(2) + y(3) + y(4)];

% 创建问题
prob = optimproblem;
prob.Constraints.con1 = con1;
prob.Constraints.con2 = con2;

% 定义目标函数
obj = x(1) + x(2) + x(3) + x(4) + x(5) + x(6);
prob.Objective = obj;

% 求解问题
[sol, fval] = solve(prob);

% 输出结果
x_values = sol.x;
disp('x(1)的值:');
disp(x_values(1));
disp('x(2)的值:');
disp(x_values(2));
disp('x(3)的值:');
disp(x_values(3));
disp('x(4)的值:');
disp(x_values(4));

希望这能帮到你！