Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Normalization #7

Open
VahidMostofi opened this issue Aug 17, 2020 · 1 comment
Open

Normalization #7

VahidMostofi opened this issue Aug 17, 2020 · 1 comment

Comments

@VahidMostofi
Copy link

Hi,
Thanks for the great Library.
I was wondering do I need to normalize different objective functions? In case they are in different ranges.
For example, f1, f2 are in [0,20000] and f3 is in [0,30]

Thank you in advance

@ppgaluzio
Copy link
Owner

Hello,
In principle, there is no need to normalize the objectives. Consider for example the case in which your objectives are very expensive black boxes, you probably wouldn't even know what the normalizations factors should be.

However, if you do know the ranges of the functions, if anything, I would only expect an improvement on convergence rate or precision for the method. It is important to say that I haven't performed any tests on this matter, so this is mostly out of intuition.

It you eventually use it with and without normalization, I would be curious to know if you observed any improvement.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants