Tutorial on the NSGA-II crowding distance function
This script illustrates the computation of the crowding distance in the NSGA-II algorithm.
You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
NSGA-II is one of the most popular multi-objective evolutionary optimization algorithms,
introduced by Deb. et al. in 2002 (see "A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II",
IEEE Trans. on Evolutionary Computation, vol. 6, no. 2, pp. 182-197).
The crowding distance is one of the key elements in NSGA-II.
This function illustrates its computation. It is intended as a tutorial for students willing
to learn NSGA-II.
Cite As
Marco Cococcioni (2026). Tutorial on the NSGA-II crowding distance function (https://se.mathworks.com/matlabcentral/fileexchange/125830-tutorial-on-the-nsga-ii-crowding-distance-function), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (2.25 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
