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an efficient variant of the recent Parrot Optimizer (PO) algorithm was developed using a combination of two strategies: 1) Mirror Reflection Learning (MRL) and 2) Bernoulli Maps (BMs). Both strategies improve optimization performance by avoiding local optimums and striking a compromise between convergence speed and solution diversity.
Cite As
Prof. Dr. Essam H Houssein (2026). An Efficient Improved Parrot Optimizer (https://ch.mathworks.com/matlabcentral/fileexchange/169846-an-efficient-improved-parrot-optimizer), MATLAB Central File Exchange. Retrieved .
Acknowledgements
Inspired by: Parrot optimizer: Algorithm & application to medical problem
General Information
- Version 1.0.0 (159 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
