mahco: filter initial population to verify constraints - #624
Open
jschueller wants to merge 1 commit into
Open
Conversation
Filter out non-finite fitness values (e.g., from death-penalty unconstrain) before hypervolume computation to prevent assert_minimisation failure when the reference point equals infeasible points (both == DBL_MAX). Closes esa#525
jschueller
marked this pull request as ready for review
May 21, 2026 07:49
Member
|
Hi @jschueller , I just noticed this: I am wondering, shouldn't this be done at the level of the hypervolume algorithm, instead of specifically for MHACO? I mean if tomorrow another algorithm will use the hypervolume codebase it might display the same issue, right? |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Filter out non-finite fitness values (e.g., from death-penalty unconstrain) before hypervolume computation to prevent assert_minimisation failure when the reference point equals infeasible points (both == DBL_MAX).
Closes #525