Parameter Adaptive Manta Ray Foraging Optimization for Global Continuous Optimization Problems and Parameter Estimation of Solar Photovoltaic Models

Parameter Adaptive Manta Ray Foraging Optimization for Global Continuous Optimization Problems and Parameter Estimation of Solar Photovoltaic Models

Abstract The manta ray foraging optimization (MRFO) algorithm suffers from a fixed parameter $$ S $$ S , limiting its adaptability in balancing search capability and convergence speed during different optimization stages. To address this limitation, a success-history-based parameter adaptation strat...

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Bibliographic Details
Main Authors: Zhentao Tang, Kaiyu Wang, Yongxuan Yao, Mingxin Zhu, Lan Zhuang, Huiqin Chen, Jing Li, Li Yan, Shangce Gao
Format: Article
Language:English
Published: Springer 2025-02-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Manta ray foraging optimization
Success history
Parameter adaptation
Population diversity
Stability analysis
Photovoltaic model
Online Access:https://doi.org/10.1007/s44196-025-00753-3
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https://doi.org/10.1007/s44196-025-00753-3

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