Multi objective optomization using gamultiobj

1 view (last 30 days)
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 Comments
Alan Weiss
Alan Weiss on 7 Jan 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

Sign in to comment.

Answers (0)

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!