Whale Optimization Algorithm for Feature Selection

Version 1.1 (61,5 KB) von 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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Aktualisiert 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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Zitieren als

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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Erstellt mit R2018a

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Version	Veröffentlicht	Versionshinweise
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	Herunterladen
1.0.1	20 Okt 2020	typo	Herunterladen
1.0.0	20 Okt 2020		Herunterladen

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das 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} }