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.
4.5
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733 Downloads
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
Categories
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Version Published Release Notes
1.3

See release notes for this release on GitHub: https://github.com/JingweiToo/Binary-Differential-Evolution-for-Feature-Selection/releases/tag/1.3
1.2

Improve code for the fitness function
1.1.0

change to hold-out
1.0.4

-
1.0.3

-
1.0.2

-
1.0.1

Add paper
1.0.0

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