Constraint function in optimization toolbox
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One of the variables in my model is Measured Power which is being calculated by an external black box model connected with MATLAB. The way its calculated is below:
4 Comments
Rik
on 30 Jun 2020
Since this isn't really my field I don't know if I can solve the actual problem. I just noticed the globals, which tend to be a bad sign.
Also, this forum is a hobby, private consultation is a job, and it isn't my job. There are plenty of people you could hire.
Accepted Answer
Alan Weiss
on 30 Jun 2020
I think that you missed the step where you call the external function to calculate the nonlinear constraint.
function [c,ceq] = con_EbsOptimize4(para)
global asmInfo app oc model objects Pr Hu Pmeasm Hmeasm Power Powermeasm;
model.Simulate(errors);
Power = oc.CastToComp11(objects.Item('Generator_1'));
Powermeasm = Power.QREAL.Value;
c = Powermeasm-192000;
ceq = [];
end
There are two other things that you might want to keep in mind for this:
- Often, the function that calculates the objective function is the same as the function that calculates the nonlinear constraint. If this is true for your function, consider using the technique in Objective and Nonlinear Constraints in the Same Function.
- If you are using fmincon as your solver, keep in mind the problems in finite differences mentioned in Optimizing a Simulation or Ordinary Differential Equation.
Alan Weiss
MATLAB mathematical toolbox documentation
9 Comments
Alan Weiss
on 30 Jun 2020
You didn't say before that "...it's not calculating the constraint violation correctly and giving it as zero when clearly the violation is much much larger." Can you give iterative display data showing what you mean, or something else to help me understand what might be happening? And did you try my previous suggestion, to set MaxGenerations_Data to 1e5?
Alan Weiss
MATLAB mathematical toolbox documentation
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