IPO: An Improved Parrot Optimizer for Global Optimization and Multilayer Perceptron Classification Problems
The Parrot Optimizer (PO) is a new optimization algorithm based on the behaviors of trained Pyrrhura Molinae parrots. In this paper, an improved PO (IPO) is proposed for solving global optimization problems and training the multilayer perceptron. The basic PO is enhanced by using three improvements,...
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| Main Authors: | Fang Li, Congteng Dai, Abdelazim G. Hussien, Rong Zheng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Biomimetics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2313-7673/10/6/358 |
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