Non Sorting Genetic Algorithm II (NSGA-II)

Version 1.2 (432 ko) par Víctor Martínez-Cagigal
Bearable and compressed implementation of Non Sorting Genetic Algorithm II (NSGA-II)
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Mise à jour 25 nov. 2019

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This function performs a Non Sorting Genetic Algorithm II (NSGA-II) for minimizing continuous functions. The implementation is bearable, computationally cheap, and compressed (the algorithm only requires one file: NSGAIII.m). An 'example.m' script is provided in order to help users to use the implementation. It is also noteworthy to mention that the code is highly commented for easing the understanding. This implementation is based on the paper of Deb et al. (2002), "A fast and elitist multiobjective genetic algorithm: NSGA-II".

Citation pour cette source

Víctor Martínez-Cagigal (2024). Non Sorting Genetic Algorithm II (NSGA-II) (https://www.mathworks.com/matlabcentral/fileexchange/65494-non-sorting-genetic-algorithm-ii-nsga-ii), MATLAB Central File Exchange. Récupéré le .

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Créé avec R2017a
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Version Publié le Notes de version
1.2

The old mutation operator is substituted by a weighted normal distribution approach, as suggested by Alexander Hagg, which reaches faster convergences.
1.1.1.0

True ParetoFronts for the examples are now uploaded
1.1.0.0