Tutorial on the NSGA-II crowding distance function

Version 1.0.0 (2.25 KB) by Marco Cococcioni
This script illustrates the computation of the crowding distance in the NSGA-II algorithm.
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Updated 7 Mar 2023

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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 for students willing
to learn NSGA-II.

Cite As

Marco Cococcioni (2026). Tutorial on the NSGA-II crowding distance function (https://in.mathworks.com/matlabcentral/fileexchange/125830-tutorial-on-the-nsga-ii-crowding-distance-function), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2022b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0