Multi objective optomization using gamultiobj
2 visualizzazioni (ultimi 30 giorni)
Mostra commenti meno recenti
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
3 Commenti
Alan Weiss
il 7 Gen 2022
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
Risposte (0)
Vedere anche
Categorie
Scopri di più su Multiobjective Optimization in Help Center e File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!