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Error using optimization tool bx
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I created a sciprt file name objective
And i key in the function below
function f = objective(x)
f = -2.84.*x(:,1)+0.22.*x(:,2)+3.33.*x(:,3)-1.09.*x(:,4)-9.39.*x(:,5)-9.51.*x(:,6)+0;
A:[1.1 0.9 0.9 1 1.1 0.9; 0.5 0.35 0.25 0.25 0.5 0.35; 0.01 0.15 0.15 0.18 0.01 0.15 ]
B: [200000 100000 20000]
Aeq: [0.4 0.06 0.04 0.05 -0.6 0.06; 0 0.1 0.01 0.01 0 -0.9; -6857.6 364 2032 -1145 -6857.6 364 21520]
Beq:[0 0 20000000]
When solve by optimum toolbox it displays message below:
Optimization running.
Error running optimization.
LINPROG requires the following inputs to be of data type double: 'f'.
2 comentarios
Gifari Zulkarnaen
el 16 de Feb. de 2020
What is difference between A and B equality? They should be in one equation, unless one of them is inequality.
Walter Roberson
el 16 de Feb. de 2020
In standard constraint notation used by MATLAB,
A*X <= B
Aeq*X == Beq
That is, A and B express an inequality, and Aeq and Beq express an equality.
Respuestas (2)
Gifari Zulkarnaen
el 16 de Feb. de 2020
Try this
[x,fval] = ga(@objective,6);
function f = objective(x)
f = -2.84.*x(:,1)+0.22.*x(:,2)+3.33.*x(:,3)-1.09.*x(:,4)-9.39.*x(:,5)-9.51.*x(:,6)+0;
end
6 comentarios
Walter Roberson
el 16 de Feb. de 2020
When you have a function in a file and the first executable word of the file is not "function" then the function name cannot be the same as the file name.
Walter Roberson
el 16 de Feb. de 2020
Is your requirement to define a script that minimizes a certain linear system and the script must be named objective ? If so then name the script objective.m but rename the function inside it to something else.
Is your requirement to define a function named objective that is to be used in minimizing a nonlinear system, together with a script that invokes the appropriate minimizer? If so then put the function in its own file named objective.m and put the driving script into a different file.
Walter Roberson
el 16 de Feb. de 2020
linprog() does not permit a function handle as the first argument. linprog is linear programming, which permits the problem to be described by numeric matrices. Function handles are not permitted because function handles usually imply nonlinear functions.
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