This algorithm is a modified version of Binary Ant Colony Optimization.
It employs Pearsons correlation between features and Gini ranking information along with pheromone learning for improved performance.
Cleaned dataset are available under the folder data.
ACO.ipynb is the notebook for ACO algorithm.
*feel free to raise an issue if you encounter any problem.
The project details are avalable at https://l-ashwin.github.io/Advanced-ACO/.
Links for the datasets used:
https://archive.ics.uci.edu/ml/datasets/QSAR+biodegradation
https://archive.ics.uci.edu/ml/datasets/Cardiotocography
https://archive.ics.uci.edu/ml/datasets/Dermatology
https://archive.ics.uci.edu/ml/datasets/wine