Published: Jan. 1, 2024
Language: Английский
Published: Jan. 1, 2024
Language: Английский
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: Feb. 13, 2025
Language: Английский
Citations
2Information Sciences, Journal Year: 2024, Volume and Issue: 670, P. 120627 - 120627
Published: April 12, 2024
Language: Английский
Citations
10Information Sciences, Journal Year: 2024, Volume and Issue: 679, P. 121091 - 121091
Published: June 26, 2024
Language: Английский
Citations
4Complex & Intelligent Systems, Journal Year: 2025, Volume and Issue: 11(6)
Published: April 19, 2025
Language: Английский
Citations
0Ionics, Journal Year: 2025, Volume and Issue: unknown
Published: April 28, 2025
Citations
0Engineering Reports, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 18, 2024
ABSTRACT The optimization of parameters in proton exchange membrane fuel cell (PEMFC) models is essential for enhancing the design and control cells currently a vibrant area research. This involves complex, nonlinear, multivariable numerical challenge. Recently, various metaheuristic approaches have been applied to efficiently identify optimal configurations PEMFC models, capable exploring broad search space locate ideal solutions promptly. In this study, recently developed hierarchical population‐based differential evolution (HPDE) was employed parameter PEMFCs due its robustness demonstrated superiority over other algorithms. research tested proposed algorithm by identifying 12 distinct PEMFCs, including BCS 500 W PEMFC, Nedstack 600 PS6 SR‐12500 H‐12 STD 250 HORIZON four variants two PEMFC. performance HPDE also benchmarked against advanced evolutionary algorithms (EAs), such as E‐QUATRE, iLSHADE, CRADE, L‐SHADE, jSO, HARD‐DE, LSHADE‐cnEpSin, DE, PCM‐DE. Despite simplicity, results reveal that can precisely swiftly extract models. Furthermore, voltage–current ( V – I ), power‐current P error characteristics derived from consistently align with both simulated experimental data across all seven PEMFCs. Additionally, has shown outperform versions DE algorithms, providing superior results.
Language: Английский
Citations
2Computers in Industry, Journal Year: 2024, Volume and Issue: 164, P. 104209 - 104209
Published: Nov. 8, 2024
Language: Английский
Citations
1Published: Jan. 1, 2024
Language: Английский
Citations
0Swarm and Evolutionary Computation, Journal Year: 2024, Volume and Issue: 92, P. 101822 - 101822
Published: Dec. 24, 2024
Language: Английский
Citations
0Published: Jan. 1, 2024
Language: Английский
Citations
0