Clustering using Mayfly Optimization Algorithm

Mayfly Algorithm for clustering
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Actualizado 31 oct 2024

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This simplified Matlab demo code shows how to use the new Mayfly Algorithm to solve clustering problems.
The only thing researchers need to do is to replace the data in "mydata.xlsx" with their data, and then run the MAclustering.m file in the Matlab platform.
Researchers are allowed to use this code in their research projects, as long as they cite as:
Mastrothanasis, K., Zervoudakis, K., Kladaki, M. & Tsafarakis, S. (2023). A bio-inspired computational classifier system for the evaluation of children’s theatrical anxiety at school. Education and Information Technologies. https://doi.org/10.1007/s10639-023-11645-4
and
Zervoudakis, K., & Tsafarakis, S. (2020). A mayfly optimization algorithm. Computers & Industrial Engineering, 145, 106559. https://doi.org/10.1016/j.cie.2020.106559

Citar como

Konstantinos Zervoudakis (2026). Clustering using Mayfly Optimization Algorithm (https://la.mathworks.com/matlabcentral/fileexchange/132777-clustering-using-mayfly-optimization-algorithm), MATLAB Central File Exchange. Recuperado .

Mastrothanasis, K., Zervoudakis, K., Kladaki, M. & Tsafarakis, S. (2023). A bio-inspired computational classifier system for the evaluation of children’s theatrical anxiety at school. Education and Information Technologies. https://doi.org/10.1007/s10639-023-11645-4

Zervoudakis, K., & Tsafarakis, S. (2020). A mayfly optimization algorithm. Computers & Industrial Engineering, 145, 106559. https://doi.org/10.1016/j.cie.2020.106559

Compatibilidad con la versión de MATLAB
Se creó con R2019b
Compatible con cualquier versión
Compatibilidad con las plataformas
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Versión Publicado Notas de la versión
2.0.2

Update

2.0.1

Site added

2.0.0

Normalization of data option added

1.0.0