A combination of GA and CSO for feature selection

A combination of GA and CSO for feature selection in classification accuracy maximization
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Actualizado 11 feb 2020

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A combination of Genetic algorithm (GA) and Cuckoo Search Optimization (CSO) for feature selection in classification accuracy maximization.

Instead of Levy flight, I used GA breed and mutation for cuckoo updates.
I have used Naive Bayes classification in the code, but you can replace it with any other classifier.

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Majid Farzaneh (2024). A combination of GA and CSO for feature selection (https://www.mathworks.com/matlabcentral/fileexchange/74229-a-combination-of-ga-and-cso-for-feature-selection), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2019b
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Versión Publicado Notas de la versión
1.0.0