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.
引用格式
Prof. Dr. Essam H Houssein (2024). An Efficient Improved Parrot Optimizer (https://www.mathworks.com/matlabcentral/fileexchange/169846-an-efficient-improved-parrot-optimizer), MATLAB Central File Exchange. 检索来源 .
MATLAB 版本兼容性
创建方式
R2024a
兼容任何版本
平台兼容性
Windows macOS Linux标签
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!IPO Code
IPO Code/AGDE
IPO Code/COA
IPO Code/EEFO
IPO Code/HHO
IPO Code/INFO
IPO Code/PO
IPO Code/RIME
IPO Code/WSO
版本 | 已发布 | 发行说明 | |
---|---|---|---|
1.0.0 |