Add lexicographic Pareto front selection example#789
Open
disnexide wants to merge 1 commit into
Open
Conversation
Add a small documentation example for selecting one solution from a Pareto front using lexicographic ordering.
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
This PR adds a small documentation example for selecting one final solution from an already obtained Pareto front using lexicographic ordering.
The example is intended as a simple decision-making helper: objectives are sorted by priority, and solutions are compared according to this priority order. This can be useful when a multi-objective optimization algorithm returns a set of Pareto-optimal solutions, but one final compromise solution is needed.
All objectives in the example are assumed to be minimized. For maximization objectives, users can multiply the corresponding objective values by -1 before applying the function.