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.

https://github.com/JingweiToo/Whale-Optimization-Algorithm-for-Feature-Selection

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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	10 Jan 2021	See release notes for this release on GitHub: https://github.com/JingweiToo/Whale-Optimization-Algorithm-for-Feature-Selection/releases/tag/1.1	Download
1.0.1	20 Oct 2020	typo	Download
1.0.0	20 Oct 2020		Download

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

MLA	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.
APA	Too, J., Mafarja, M., & Mirjalili, S. (2021). Spatial bound whale optimization algorithm: an efficient high-dimensional feature selection approach. Neural Computing and Applications. Springer Science and Business Media LLC. Retrieved from https://doi.org/10.1007%2Fs00521-021-06224-y
BibTeX	@article{Too_2021, doi = {10.1007/s00521-021-06224-y}, url = {https://doi.org/10.1007%2Fs00521-021-06224-y}, year = 2021, month = {jul}, publisher = {Springer Science and Business Media {LLC}}, author = {Jingwei Too and Majdi Mafarja and Seyedali Mirjalili}, title = {Spatial bound whale optimization algorithm: an efficient high-dimensional feature selection approach}, journal = {Neural Computing and Applications} }