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
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 (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. Retrieved .
MATLAB Release Compatibility
Created with
R2019b
Compatible with any release
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Version | Published | Release Notes | |
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1.0.0 |