Hierarchical guided manta ray foraging optimization for global continuous optimization problems and parameter estimation of solar photovoltaic models

Hierarchical guided manta ray foraging optimization for global continuous optimization problems and parameter estimation of solar photovoltaic models

Abstract The manta ray foraging optimization (MRFO) algorithm has gained widespread application in engineering problems due to its notable performance and low computational cost. However, the algorithm is prone to getting trapped in local optima and struggles to effectively balance exploration and e...

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Bibliographic Details
Main Authors: Zhentao Tang, Kaiyu Wang, Lan Zhuang, Mingxin Zhu, Yongxuan Yao, Huiqin Chen, Jing Li, Xiaoxiang Wu, Shangce Gao
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Manta ray foraging optimization
Exploration and exploitation
Hierarchical guidance mechanism
Hierarchical interactions
Photovoltaic models
Parameter estimation
Online Access:https://doi.org/10.1038/s41598-025-90867-7
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https://doi.org/10.1038/s41598-025-90867-7

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