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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Bibliographic Details
Main Authors: Fang Li, Congteng Dai, Abdelazim G. Hussien, Rong Zheng
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Biomimetics
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Online Access:https://www.mdpi.com/2313-7673/10/6/358
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