Binary Particle Swarm Optimization for Feature Selection

Binary Particle Swarm Optimization for Feature Selection

version 1.3 (58.8 KB) by Jingwei Too

Simple algorithm shows how binary particle swarm optimization (BPSO) used in feature selection problem.

https://github.com/JingweiToo/Binary-Particle-Swarm-Optimization-for-Feature-Selection

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Updated Sat, 19 Dec 2020 15:16:48 +0000

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Simple binary particle swarm optimization (BPSO) for feature selection tasks, which can select the potential features to improve the classification accuracy.

The < Main.m file > demos an example on how to use BPSO with classification error rate (computed by KNN) as the fitness function for feature selection problem using benchmark data-set.

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Cite As

Too, Jingwei, et al. “A New Co-Evolution Binary Particle Swarm Optimization with Multiple Inertia Weight Strategy for Feature Selection.” Informatics, vol. 6, no. 2, MDPI AG, May 2019, p. 21, doi:10.3390/informatics6020021.

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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

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

Download	19 Dec 15:16	1.3	See release notes for this release on GitHub: https://github.com/JingweiToo/Binary-Particle-Swarm-Optimization-for-Feature-Selection/releases/tag/1.3
Download	22 Oct 09:24	1.2	Improve code for the fitness function
Download	23 Jul 09:37	1.1.0	change to hold-out
Download	22 Jul 05:46	1.0.4	-
Download	30 Jun 01:28	1.0.3	Changes Vmin=-Vmax
Download	08 May 02:14	1.0.2	-
Download	08 May 02:07	1.0.1	Add convergence plot
Download	07 May 09:59	1.0.0

MLA	Too, Jingwei, et al. “A New Co-Evolution Binary Particle Swarm Optimization with Multiple Inertia Weight Strategy for Feature Selection.” Informatics, vol. 6, no. 2, MDPI AG, May 2019, p. 21, doi:10.3390/informatics6020021.
APA	Too, J., Abdullah, A. R., & Saad, N. M. (2019). A New Co-Evolution Binary Particle Swarm Optimization with Multiple Inertia Weight Strategy for Feature Selection. Informatics, 6(2), 21. MDPI AG. Retrieved from https://doi.org/10.3390%2Finformatics6020021
BibTeX	@article{Too_2019, doi = {10.3390/informatics6020021}, url = {https://doi.org/10.3390%2Finformatics6020021}, year = 2019, month = {may}, publisher = {{MDPI} {AG}}, volume = {6}, number = {2}, pages = {21}, author = {Jingwei Too and Abdul Rahim Abdullah and Norhashimah Mohd Saad}, title = {A New Co-Evolution Binary Particle Swarm Optimization with Multiple Inertia Weight Strategy for Feature Selection}, journal = {Informatics} }

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} }