Binary Differential Evolution for Feature Selection

Version 1.3 (61,1 ko) par Jingwei Too

The binary version of Differential Evolution (DE), named as Binary Differential Evolution (BDE) is applied for feature selection tasks.

https://github.com/JingweiToo/Binary-Differential-Evolution-for-Feature-Selection

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Mise à jour 20 déc. 2020

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This toolbox offers Binary Differential Evolution (BDE) method

The < Main.m file > illustrates the example of how BDE can solve the feature selection problem using benchmark data-set.

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Citation pour cette source

Too, Jingwei, et al. “Hybrid Binary Particle Swarm Optimization Differential Evolution-Based Feature Selection for EMG Signals Classification.” Axioms, vol. 8, no. 3, MDPI AG, July 2019, p. 79, doi:10.3390/axioms8030079.

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Too, Jingwei, et al. “EMG Feature Selection and Classification Using a Pbest-Guide Binary Particle Swarm Optimization.” Computation, vol. 7, no. 1, MDPI AG, Feb. 2019, p. 12, doi:10.3390/computation7010012.

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Compatibilité avec les versions de MATLAB

Créé avec R2018a

Compatible avec toutes les versions

Plateformes compatibles

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Version	Publié le	Notes de version
1.3	20 déc. 2020	See release notes for this release on GitHub: https://github.com/JingweiToo/Binary-Differential-Evolution-for-Feature-Selection/releases/tag/1.3	Télécharger
1.2	22 oct. 2020	Improve code for the fitness function	Télécharger
1.1.0	23 juil. 2020	change to hold-out	Télécharger
1.0.4	22 juil. 2020	-	Télécharger
1.0.3	22 juil. 2020	-	Télécharger
1.0.2	30 juin 2019	-	Télécharger
1.0.1	11 mai 2019	Add paper	Télécharger
1.0.0	11 mai 2019		Télécharger

Pour consulter ou signaler des problèmes liés à ce module complémentaire GitHub, accédez au dépôt GitHub.

MLA	Too, Jingwei, et al. “Hybrid Binary Particle Swarm Optimization Differential Evolution-Based Feature Selection for EMG Signals Classification.” Axioms, vol. 8, no. 3, MDPI AG, July 2019, p. 79, doi:10.3390/axioms8030079.
APA	Too, J., Abdullah, A. R., & Saad, N. M. (2019). Hybrid Binary Particle Swarm Optimization Differential Evolution-Based Feature Selection for EMG Signals Classification. Axioms, 8(3), 79. MDPI AG. Retrieved from https://doi.org/10.3390%2Faxioms8030079
BibTeX	@article{Too_2019, doi = {10.3390/axioms8030079}, url = {https://doi.org/10.3390%2Faxioms8030079}, year = 2019, month = {jul}, publisher = {{MDPI} {AG}}, volume = {8}, number = {3}, pages = {79}, author = {Jingwei Too and Abdul Rahim Abdullah and Norhashimah Mohd Saad}, title = {Hybrid Binary Particle Swarm Optimization Differential Evolution-Based Feature Selection for {EMG} Signals Classification}, journal = {Axioms} }

MLA	Too, Jingwei, et al. “EMG Feature Selection and Classification Using a Pbest-Guide Binary Particle Swarm Optimization.” Computation, vol. 7, no. 1, MDPI AG, Feb. 2019, p. 12, doi:10.3390/computation7010012.
APA	Too, J., Abdullah, A., Saad, N. M., & Tee, W. (2019). EMG Feature Selection and Classification Using a Pbest-Guide Binary Particle Swarm Optimization. Computation, 7(1), 12. MDPI AG. Retrieved from https://doi.org/10.3390%2Fcomputation7010012
BibTeX	@article{Too_2019, doi = {10.3390/computation7010012}, url = {https://doi.org/10.3390%2Fcomputation7010012}, year = 2019, month = {feb}, publisher = {{MDPI} {AG}}, volume = {7}, number = {1}, pages = {12}, author = {Jingwei Too and Abdul Abdullah and Norhashimah Mohd Saad and Weihown Tee}, title = {{EMG} Feature Selection and Classification Using a Pbest-Guide Binary Particle Swarm Optimization}, journal = {Computation} }