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 more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are 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.
Application of Whale Optimization Algorithm (WOA) in the feature selection tasks.
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GrafoRVFL: A Gradient-Free Optimization Framework for Boosting Random Vector Functional Link Network
MNSWOA: A nondominated-sorting-based whale optimization algorithm for feature selection.
Adaptive Beta Hill Climbing Aided Whale Optimization Algorithm (AdBet-WOA)
Julia implementations of various animal-inspired optimizers
simple WOA (Whale Optimization Algorithm) implementation
simple implementation of portfolio optimization using WOA
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