ACO-FS

Version 1.0.0 (9.57 MB) by Georgina Cosma
ACO for Feature Selection
3.0
(1)
313 Downloads
Updated 3 Dec 2021
View License on GitHub

Ant Colony Optimisation for feature selection

To run the algorithm:
Step 1: Run the aco.m file

You can replace the dataset and SVM classifier with those of your choice.

Please e-mail us if you find bugs.
Sadegh Salesi sadegh.salesi@my.ntu.ac.uk

Dr Georgina Cosma georgina.cosma@ntu.ac.uk

Reference: S. Salesi and G. Cosma, "A novel extended binary cuckoo search algorithm for feature selection," 2017 2nd International Conference on Knowledge Engineering and Applications (ICKEA), London, 2017, pp. 6-12. doi: 10.1109/ICKEA.2017.8169893

URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8169893&isnumber=8169886

Cite As

Georgina Cosma (2026). ACO-FS (https://github.com/gcosma/ACO-FS), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2018b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.