Binary Differential Evolution for Feature Selection

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

Version 1.3 (61.1 KB)
767 Downloads
(2)
20 Dec 2020

You are now following this Submission

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.

*********************************************************************************************************************************

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.

View more styles

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.

View more styles

Categories

Find more on Dimensionality Reduction and Feature Extraction in Help Center and MATLAB Answers

General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Open in new tab
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.