Accurate parameters extraction of photovoltaic models with multi-strategy gaining-sharing knowledge-based algorithm

Information Sciences, Год журнала: 2024, Номер 670, С. 120627 - 120627

Опубликована: Апрель 12, 2024

Язык: Английский

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A two stage differential evolution algorithm for parameter estimation of proton exchange membrane fuel cell

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 13, 2025

Язык: Английский

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ACD-DE: An adaptive cluster division Differential Evolution for mitigating population diversity deficiency

Information Sciences, Год журнала: 2024, Номер 679, С. 121091 - 121091

Опубликована: Июнь 26, 2024

Язык: Английский

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A segmented differential evolution with enhanced diversity and semi-adaptive parameter control

Complex & Intelligent Systems, Год журнала: 2025, Номер 11(6)

Опубликована: Апрель 19, 2025

Язык: Английский

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Optimizing proton exchange membrane fuel cell parameters using adaptive cluster division differential evolution

Ionics, Год журнала: 2025, Номер unknown

Опубликована: Апрель 28, 2025

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Advancing photovoltaic system design: An enhanced social learning swarm optimizer with guaranteed stability

Computers in Industry, Год журнала: 2024, Номер 164, С. 104209 - 104209

Опубликована: Ноя. 8, 2024

Язык: Английский

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Innovative Diversity Metrics in Hierarchical Population‐Based Differential Evolution for PEM Fuel Cell Parameter Optimization

Engineering Reports, Год журнала: 2024, Номер unknown

Опубликована: Дек. 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.

Язык: Английский

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Exploratory Study of Factors Affecting Problem-Solving Competence among School Administrators in Vietnam during the Digital Era

Опубликована: Янв. 1, 2024

Язык: Английский

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Diversity enhancement-based Differential Evolution with a novel perturbation strategy

Swarm and Evolutionary Computation, Год журнала: 2024, Номер 92, С. 101822 - 101822

Опубликована: Дек. 24, 2024

Язык: Английский

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Exploratory Study of Factors Affecting Problem-Solving Competence among School Administrators in Vietnam during the Digital Era

Опубликована: Янв. 1, 2024

Язык: Английский

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