Tutorial on the NSGA-II crowding distance function
This script illustrates the computation of the crowding distance in the NSGA-II algorithm.
![MC_[old_and_to_be_deleted]](/responsive_image/100/100/0/0/0/cache/matlabcentral/profiles/11640940_1559684616967_DEF.jpg){kind=avatar}
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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 guide for students.
Cite As
MC_[old_and_to_be_deleted] (2026). Tutorial on the NSGA-II crowding distance function (https://www.mathworks.com/matlabcentral/fileexchange/125825-tutorial-on-the-nsga-ii-crowding-distance-function), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.1 (2.27 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
