Multi objective optomization using gamultiobj

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Hassan Abdelazeem
评论： Hassan Abdelazeem 2022-1-9
Dear All
Regarding this code
clc
clear
fitnessfcn = @(x)[norm(x)^2,0.5*norm(x(:)-[2;-1])^2+2];
rng default % For reproducibility
x = gamultiobj(fitnessfcn,2);
%% the result of x is a matrix and I need to know what is the optimal solution from this matrix , I need to choose only one solution which satisfy the minimization of the fitness function
Regards
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Alan Weiss
Alan Weiss 2022-1-7
To expand on Matt's answer, you have two objective functions here. In some regions they compete, meaning you can lower one only by raising the other. In those regions, there is no universal best point. That is what a Pareto front describes. For more information, see What Is Multiobjective Optimization?.
Alan Weiss
MATLAB mathematical toolbox documentation

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