Binary Differential Evolution for Feature Selection

Version 1.3 (61.1 KB) by 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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Updated 20 Dec 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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Cite As

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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MATLAB Release Compatibility

Created with R2018a

Compatible with any release

Platform Compatibility

Windows macOS Linux

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Version	Published	Release Notes
1.3	20 Dec 2020	See release notes for this release on GitHub: https://github.com/JingweiToo/Binary-Differential-Evolution-for-Feature-Selection/releases/tag/1.3	Download
1.2	22 Oct 2020	Improve code for the fitness function	Download
1.1.0	23 Jul 2020	change to hold-out	Download
1.0.4	22 Jul 2020	-	Download
1.0.3	22 Jul 2020	-	Download
1.0.2	30 Jun 2019	-	Download
1.0.1	11 May 2019	Add paper	Download
1.0.0	11 May 2019		Download

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

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} }