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A combination of GA and CSO for feature selection

version 1.0.0 (124 KB) by Majid Farzaneh
A combination of GA and CSO for feature selection in classification accuracy maximization

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Updated 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.

Cite As

Majid Farzaneh (2021). 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. Retrieved .

MATLAB Release Compatibility
Created with R2019b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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