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This submission contains
(1) Journal Article on Zernike Moments, Genetic Algorithm, Feature Selection and Probabilistic Neural Networks.
(2) MATLAB code to do Feature Selection Using Genetic Algorithm.
NB:
(i) This code is short BUT it works incredibly well since we employed GA Toolbox.
(ii) You can run this code directly on your computer since the dataset herein is available in MATLAB software.
(iii) Please do cite any of my publications to give credit to me (if you use this code).
The citation is as follows:
Two Publications:
[1] "BABATUNDE, Oluleye and ARMSTRONG, Leisa and LENG, Jinsong and DIEPEVEEN (2014). A Genetic Algorithm-Based Feature Selection. International Journal of Electronics Communication and Computer Engineering: 5(4);889--905."
[2] "BABATUNDE Oluleye, ARMSTRONG Leisa J, LENG Jinsong and DIEPEVEEN Dean (2014). Zernike Moments and Genetic Algorithm: Tutorial and Application. British Journal of Mathematics & Computer Science. 4(15):2217-2236."
Cite As
Dr Oluleye Babatunde (2026). Binary_Genetic_Algorithm_Hezy_2013 (https://se.mathworks.com/matlabcentral/fileexchange/46961-binary_genetic_algorithm_hezy_2013), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired: Lazo Abierto Segundo Orden Ganacia
General Information
- Version 1.7 (44.5 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.7 | nVars = 34
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| 1.6 | In the previous code, 34 (no of features in the original dataset) was used in accuracy computation. In this update, it's set as the global variable "GenomeLength" at the beginning of the code. Also information about my current affiliation was added |
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| 1.5 | Saving as toolbox file
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| 1.4.0.0 | Journal article added |
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| 1.3.0.0 | citation properly written in the code |
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| 1.2.0.0 | Image icon on the file name was added. |
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| 1.1.0.0 | tags and description updates |
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| 1.0.0.0 |
