Repository navigation
Improve crowding distance calculation in NSGA-II. - #1279
Merged
Merged
Conversation
copybara-service
Bot
force-pushed
the
test_805912683
branch
2 times, most recently
from
September 12, 2025 22:19
3fea34b to
91ac69f
Compare
Add tie-breaking to the sorting key in `_crowding_distance` using provided `extra_tiebreakers` and a consistent random number. Change the crowding distance score for the lower boundary point from infinity to 0. Normalize the final crowding distance scores by the number of objectives. Add a test case to verify the behavior with duplicate points. PiperOrigin-RevId: 806450151
copybara-service
Bot
force-pushed
the
test_805912683
branch
from
September 12, 2025 22:34
91ac69f to
e681dd9
Compare
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
1 participant
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Improve crowding distance calculation in NSGA-II.
Add tie-breaking to the sorting key in
_crowding_distanceusing providedextra_tiebreakersand a consistent random number. Change the crowding distance score for the lower boundary point from infinity to 0. Normalize the final crowding distance scores by the number of objectives. Add a test case to verify the behavior with duplicate points.