A combination of GA and CSO for feature selection

A combination of GA and CSO for feature selection in classification accuracy maximization
510 Downloads
Updated 11 Feb 2020

View License

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
Platform Compatibility
Windows macOS Linux
Categories
Find more on Statistics and Machine Learning Toolbox in Help Center and MATLAB Answers

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Published Release Notes
1.0.0