Multiobjective Genetic algorithm with integer variables
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Hello,
How can i do a multiobjective GA optimization with integer variables constraint.
I usedThe GAMULTIOBJ, but it does not work for integer variables.
Thank you
Answers (3)
Alan Weiss
on 22 Dec 2020
1 vote
Sorry, currently there is no built-in function to perform integer-constrained multiobjective optimization.
Alan Weiss
MATLAB mathematical toolbox documentation
4 Comments
Mohamad Elsibai
on 24 Dec 2020
Benedict Müller
on 22 Dec 2021
Edited: Benedict Müller
on 22 Dec 2021
Hello,
is this fixed in the mean time? On the documentation page it is written integer variables can be used for multiobjective GA. Find Pareto front of multiple fitness functions using genetic algorithm - MATLAB gamultiobj - MathWorks Deutschland
The example in Live-Editor works fine but the same example does not work on my version in Matlab (R2020b). Is this available for later versions only?
Thank you
Alan Weiss
on 22 Dec 2021
Edited: Alan Weiss
on 22 Dec 2021
To find out, consult the Release Notes. There you see that integer constraints were first supported in gamultiobj in R2021b.
Alan Weiss
MATLAB mathematical toolbox documentation
Benedict Müller
on 22 Dec 2021
Thanks a lot!
Mohamad Elsibai
on 1 Jan 2022
0 votes
1 Comment
Alan Weiss
on 2 Jan 2022
This looks like a new question to me. I suggest that you repost this question as a new question so that people can see it and possibly answer it.
Alan Weiss
MATLAB mathematical toolbox documentation
I have the same above question?
Hello,
How can i do a Multiobjective GA optimization with binary variables constraint.
How can i get correct code of the multiobjective GA optimization with integer variables?.
I want your comment.
1 Comment
Alan Weiss
on 14 Mar 2023
This looks like a new question to me. I suggest that you repost this question as a new question so that people can see it and possibly answer it.
Alan Weiss
MATLAB mathematical toolbox documentation
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