Enhanced hunger games search algorithm that incorporates the marine predator optimization algorithm for optimal extraction of parameters in PEM fuel cells
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 Hun...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-02-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-87695-0 |
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| author | Mohamed Issa Mohamed Abd Elaziz Sameh I. Selem |
| author_facet | Mohamed Issa Mohamed Abd Elaziz Sameh I. Selem |
| author_sort | Mohamed Issa |
| collection | DOAJ |
| description | 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 HGS-MPA 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. |
| format | Article |
| id | doaj-art-46c71923f22f46728c368268fa643a69 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-46c71923f22f46728c368268fa643a692025-02-09T12:36:07ZengNature PortfolioScientific Reports2045-23222025-02-0115112210.1038/s41598-025-87695-0Enhanced hunger games search algorithm that incorporates the marine predator optimization algorithm for optimal extraction of parameters in PEM fuel cellsMohamed Issa0Mohamed Abd Elaziz1Sameh I. Selem2Computer Science and Information Technology Program, Egypt-Japan University of Science and TechnologyDepartment of Mathematics, Faculty of Science, Zagazig UniversityElectrical power and machines Department, Faculty of Engineering, Zagazig UniversityAbstract 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 HGS-MPA 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.https://doi.org/10.1038/s41598-025-87695-0Proton exchange membrane fuel cellsParameters extractionHunger games search (HGS)Marine predator algorithm (MPA)Meta-heuristics |
| spellingShingle | Mohamed Issa Mohamed Abd Elaziz Sameh I. Selem Enhanced hunger games search algorithm that incorporates the marine predator optimization algorithm for optimal extraction of parameters in PEM fuel cells Scientific Reports Proton exchange membrane fuel cells Parameters extraction Hunger games search (HGS) Marine predator algorithm (MPA) Meta-heuristics |
| title | Enhanced hunger games search algorithm that incorporates the marine predator optimization algorithm for optimal extraction of parameters in PEM fuel cells |
| title_full | Enhanced hunger games search algorithm that incorporates the marine predator optimization algorithm for optimal extraction of parameters in PEM fuel cells |
| title_fullStr | Enhanced hunger games search algorithm that incorporates the marine predator optimization algorithm for optimal extraction of parameters in PEM fuel cells |
| title_full_unstemmed | Enhanced hunger games search algorithm that incorporates the marine predator optimization algorithm for optimal extraction of parameters in PEM fuel cells |
| title_short | Enhanced hunger games search algorithm that incorporates the marine predator optimization algorithm for optimal extraction of parameters in PEM fuel cells |
| title_sort | enhanced hunger games search algorithm that incorporates the marine predator optimization algorithm for optimal extraction of parameters in pem fuel cells |
| topic | Proton exchange membrane fuel cells Parameters extraction Hunger games search (HGS) Marine predator algorithm (MPA) Meta-heuristics |
| url | https://doi.org/10.1038/s41598-025-87695-0 |
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