This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to implement.
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Updated
Aug 16, 2023 - Python
This toolbox offers 13 wrapper feature selection methods (PSO, GA, GWO, HHO, BA, WOA, and etc.) with examples. It is simple and easy to implement.
This toolbox offers advanced feature selection tools. Several modifications, variants, enhancements, or improvements of algorithms such as GWO, FPA, SCA, PSO and SSA are provided.
Based on our paper "Pneumonia Detection from Lung X-ray Images using Local Search Aided Sine Cosine Algorithm based Deep Feature Selection Method" [International Journal of Intelligent Systems, Wiley]
Application of Sine Cosine Algorithm (SCA) in the feature selection tasks.
A system that aims to track and predict the movements of celestial objects with a fair amount of accuracy.
Meta-heuristic approaches to select important features only for performance enhancement in effective Intrusion Detection System.
Metaheuristics for Optimal Control in the Electric Vehicles Applications: Maximum Power Point Tracking of Solar Panels
Solving 0-1 Knapsack Problems Using Sine-Cosine Algorithm
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