Enhanced PEMFC parameter estimation using a hybrid gorilla troops optimizer and honey badger algorithm-Reference-Cited by-同舟云学术

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Enhanced PEMFC parameter estimation using a hybrid gorilla troops optimizer and honey badger algorithm

Published:2025-10 Issue: Volume:201 Page:109216
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Aljaidi Mohammad,Agrawal Sunilkumar P.^ORCID,Agrawal Toshika R.,Pandya Sundaram B.,Parmar Anil,Jangir Pradeep,Arpita ,Gulothungan G.,Alshammari Muteb^ORCID,Jangid Reena

Funder

Zarqa University

Publisher

Elsevier BV

Reference66 articles.

1. Improved metaheuristic algorithms for optimal parameters selection of Proton exchange membrane fuel cells: a comparative study;Abdel-Basset;IEEe Access.,2023

2. Artificial gorilla troops optimizer: a new nature-inspired metaheuristic algorithm for global optimization problems;Abdollahzadeh;Int. J. Intell. Syst.,2021

3. Effective parameters identification for polymer electrolyte membrane fuel cell models using grey wolf optimizer;Ali;Renew. Energy,2017

4. Performance modeling of the Ballard mark IV solid polymer electrolyte fuel cell;Amphlett;J. Electrochem. Soc.,1995

5. Genetic algorithm with migration on topology conserving maps for optimal control of quantum systems;Amstrup;J. Phys. Chem.,1995

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improving heat exchanger fouling detection for phosphoric acid concentration units: A hybrid inverse approach integrating genetic algorithms and the Levenberg-Marquardt technique;Case Studies in Thermal Engineering;2025-09

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