Tutorial on the NSGA-II crowding distance function

Versione 1.0.0 (2,25 KB) da Marco Cococcioni
This script illustrates the computation of the crowding distance in the NSGA-II algorithm.
0.0
(0)
14 download
Aggiornato 7 mar 2023

Visualizza la licenza

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.

Cita come

Marco Cococcioni (2024). Tutorial on the NSGA-II crowding distance function (https://www.mathworks.com/matlabcentral/fileexchange/125830-tutorial-on-the-nsga-ii-crowding-distance-function), MATLAB Central File Exchange. Recuperato .

Compatibilità della release di MATLAB
Creato con R2022b
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux
Tag Aggiungi tag

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Versione Pubblicato Note della release
1.0.0