Binary Dwarf Mongoose Optimizer
BDMO for solving high-dimensional feature selection.
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The Binary DwarfMongoose Optimisation (BDMO) is proposed to explore and find minimal feature subsets possible at higher classification accuracy in high-dimensional datasets.
Cite As
Olatunji Akinola (2026). Binary Dwarf Mongoose Optimizer (https://in.mathworks.com/matlabcentral/fileexchange/119878-binary-dwarf-mongoose-optimizer), MATLAB Central File Exchange. Retrieved .
Akinola, Olatunji A., et al. “Binary Dwarf Mongoose Optimizer for Solving High-Dimensional Feature Selection Problems.” PLOS ONE, edited by Kapil Kumar Nagwanshi, vol. 17, no. 10, Public Library of Science (PLoS), Oct. 2022, p. e0274850, doi:10.1371/journal.pone.0274850.
General Information
- Version 2.0.0 (7.6 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 2.0.0 |
