Optimize with handling an objective function as "Black Box"
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Is there a way to optimize a costrained objective function without really knowing its expression? For example, say we have :
% main.m %
% starting point and costraints all previously defined
[Xopt,Fval] = fmincon(@obj,x0,A,B,Aeq,Beq,lb,ub,[],options);
% End of main.m %
% Objective Function obj.m %
function [F] = obj(X)
% Write Data into File for exe
fopen('X.dat','w');
dlmwrite('X.dat',X);
fclose('all');
% Run Black Box exe
system('BB.exe') % where the expression of the objective function is(unknown to us)
% Read Results from exe
F = importdata('Fval.dat')
% End of obj.m %
The above example does not work,but gives the general idea The code is also attached (Run main.m) with a very simple objective function.
采纳的回答
Sean de Wolski
2018-2-1
编辑：Sean de Wolski
2018-2-1
The pattern you have there looks like it should work and the idea is fine.
Though I would probably recommend patternsearch over fmincon since you likely cannot guarantee that BB.exe returns smooth continuous values.
Also note that F has to be a scalar. So maybe at the end:
F = norm(F)
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