FP as a local search#258
Merged
rapids-bot[bot] merged 31 commits intoNVIDIA:branch-25.10from Aug 21, 2025
Merged
Conversation
aliceb-nv
reviewed
Aug 6, 2025
aliceb-nv
approved these changes
Aug 7, 2025
Contributor
aliceb-nv
left a comment
aliceb-nv
left a comment
There was a problem hiding this comment.
Approving, thanks for the great work Akif!
Contributor
|
GREAT work @akifcorduk |
|
Auto-sync is disabled for draft pull requests in this repository. Workflows must be run manually. Contributors can view more details about this message here. |
Contributor
Author
|
/merge |
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
3 participants
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
This PR adds a new local search operator: FP with objective cutoff.
We were using FP as a means of solution generation algorithm. Now we are also using it as a local search by adding a cutting plane at the current fesible point perpendicular to the objective. We rerun FJ at this point to have a different restart point and continue the FP search with the cutting plane added.
This on brings down the average optimality gap by 1-2%.