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Enhanced hunger games search algorithm that incorporates the marine predator optimization algorithm for optimal extraction of parameters in PEM fuel cells
Faculty
Engineering
Year:
2025
Type of Publication:
ZU Hosted
Pages:
Authors:
Mohammed Alsayed MohamedAli
Staff Zu Site
Abstract In Staff Site
Journal:
Scientific Reports Nature Portfolio
Volume:
15
Keywords :
Enhanced hunger games search algorithm that
Abstract:
This article introduces a novel optimization approach to improve the parameter estimation of proton exchange membrane fuel cells (PEMFCs), which are critical for diverse applications but are challenging to model due to their nonlinear behavior. The proposed method, HGS-MPA, enhances the Hunger Games Search (HGS) algorithm by integrating Marine Predator Algorithm (MPA) operators, significantly boosting its exploitation capabilities and convergence rate. The effectiveness of HGSMPA was validated on three commercial PEMFC datasets: 250-W stack, BCS 500-W, and NedStack PS6, using the Sum Squared Error (SSE) as the performance metric. Experimental results highlight that HGS-MPA achieves minimum fitness values of 0.33770, 1.31620, and 0.01174 for the respective datasets, outperforming other state-of-the-art algorithms. These findings underscore the method’s potential for accurate PEMFC parameter estimation, offering enhanced performance and reliability
Author Related Publications
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Department Related Publications
Hytham Saad Mohamed Ramadan, "Efficient start–up energy management via nonlinear control for eco–traction systems", Applied Energy, 2017
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Attia Abdelaziz Hussien Ali, "Economic Dispatch with Convex and Non-Convex Fuel Cost Functions Including Line Losses Using PS and GA Approaches", International Journal of Electrical, Electronics and Computer Systems., 2011
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Ehab Saliem Ali Mohamed Salamh, "Speed Control of DC Series Motor Supplied by Photovoltaic System via Firefly Algorithm", springer, 2015
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Ahmed Mohamed Othman Abdelmaksoud, "Synergy of robust adaptive emulated- controller and enhanced mud layers optimization for microgrid dynamics improvement", Elsevier, 2022
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