Non Sorting Genetic Algorithm II (NSGA-II)

Versión 1.2 (432 KB) por Víctor Martínez-Cagigal
Bearable and compressed implementation of Non Sorting Genetic Algorithm II (NSGA-II)
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Actualizado 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".

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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. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2017a
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Más información sobre Genetic Algorithm en Help Center y MATLAB Answers.
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Inspiración para: Cascade Power Generation Cycle Optimization

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Versión Publicado Notas de la versión
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