Binary Harris Hawk Optimization for Feature Selection
The binary version of Harris Hawk Optimization (HHO), called Binary Harris Hawk Optimization (BHHO) is applied for feature selection tasks.
https://github.com/JingweiToo/Binary-Harris-Hawk-Optimization-for-Feature-Selection
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This toolbox offers Binary Harris Hawk Optimization (BHHO)
The < Main.m file > illustrates the example of how BHHO can solve the feature selection problem using benchmark data-set.
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Cite As
Too, et al. “A New Quadratic Binary Harris Hawk Optimization for Feature Selection.” Electronics, vol. 8, no. 10, MDPI AG, Oct. 2019, p. 1130, doi:10.3390/electronics8101130.
General Information
- Version 1.3 (61.3 KB)
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View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.3 | See release notes for this release on GitHub: https://github.com/JingweiToo/Binary-Harris-Hawk-Optimization-for-Feature-Selection/releases/tag/1.3 |
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| 1.2 | Improve code for the fitness function |
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| 1.1.0 | change to hold-out |
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| 1.0.0 |
