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Binary Grey Wolf Optimization for Feature Selection

version 1.2 (59 KB) by Jingwei Too
Demonstration on how binary grey wolf optimization (BGWO) applied in the feature selection task.


Updated 22 Oct 2020

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This toolbox offers two types of binary grey wolf optimization (BGWO) methods

The "Main" script demos the examples of how BGWO solves the feature selection problem using benchmark data-set.

Detail of BGWO can be found in the following papers:
[1] Too, J., Abdullah, A.R., Mohd Saad, N., Mohd Ali, N. and Tee, W., 2018. A new competitive binary Grey Wolf Optimizer to solve the feature selection problem in EMG signals classification. Computers, 7(4), p.58.

[2] Too, J. and Abdullah, A.R., 2020. Opposition based competitive grey wolf optimizer for EMG feature selection. Evolutionary Intelligence.

Cite As

Too, Jingwei, et al. “A New Competitive Binary Grey Wolf Optimizer to Solve the Feature Selection Problem in EMG Signals Classification.” Computers, vol. 7, no. 4, MDPI AG, Nov. 2018, p. 58, doi:10.3390/computers7040058.

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Too, Jingwei, and Abdul Rahim Abdullah. “Opposition Based Competitive Grey Wolf Optimizer for EMG Feature Selection.” Evolutionary Intelligence, Springer Science and Business Media LLC, July 2020, doi:10.1007/s12065-020-00441-5.

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Comments and Ratings (4)

Jingwei Too

Dear Mahesh Parimala,

May I know which version of Matlab you are using? I just check the fitcknn and I found that it needs at least Matlab 2014 to be operated. For the previous version, you may use knnClassify

mahesh parimala

I am getting the following error "Undefined function 'fitcknn' for input arguments of type 'double'." Can any one help me in this regard.


Tee Wei Hown

MATLAB Release Compatibility
Created with R2018a
Compatible with any release
Platform Compatibility
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Binary Grey Wolf Optimization for Feature Selection