How can I find a Pareto optimal using weighted sum method in Multi objective optimization ?
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Hi All,
I am new to the MOOP problem. I would like to find out pareto optimal front using weighted sum method. So I tried the following code,
objective1=x3+y2;
objective2=y2-4x;
x0=[1,1];
w1=linspace(0,1,N);
w2=1-w1;
sol=nan(3,N);
for i=1:N
FWS=@(x) w1(i)* (x).^3 +(y).^2 + w2(i)* (y).^2 - 4x;
%sol(:,i)=fminunc(FWS,x0(:));
[x,fval] = fminunc(FWS,x0);
end
Finally I got the error like,
Error using fminunc (line 368)
Supplied objective function must return a scalar value.
Can anyone help me to clear this problem really appreciated?
Thanks
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Respuestas (1)
Alan Weiss
el 22 de Ag. de 2019
There are several approaches to finding Pareto fronts. This example uses fgoalattain, but you can easily modify it to use fminunc.
Alan Weiss
MATLAB mathematical toolbox documentation
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