Whale Optimization Algorithm for Feature Selection

Version 1.1 (61.5 KB) by Jingwei Too
Application of Whale Optimization Algorithm (WOA) in the feature selection tasks.
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Updated 10 Jan 2021
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This toolbox offers a Whale Optimization Algorithm (WOA) method
The < Main > script illustrates the example of how WOA can solve the feature selection problem using benchmark data-set.
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Cite As

Too, Jingwei, et al. “Spatial Bound Whale Optimization Algorithm: an Efficient High-Dimensional Feature Selection Approach.” Neural Computing and Applications, Springer Science and Business Media LLC, July 2021, doi:10.1007/s00521-021-06224-y.

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MATLAB Release Compatibility
Created with R2018a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.1

See release notes for this release on GitHub: https://github.com/JingweiToo/Whale-Optimization-Algorithm-for-Feature-Selection/releases/tag/1.1
1.0.1

typo
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.