Bio-inspired computational intelligence metaheuristic-based optimization and sensitivity analysis approach to determine techno-economic feasibility of hydrogen refueling stations for fuel cell vehicles.
- DOI
- 10.1038/s41598-025-97088-y
- Published
- 2025-04-11
- Container
- Sci Rep
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-97088-y,
title = {Bio-inspired computational intelligence metaheuristic-based optimization and sensitivity analysis approach to determine techno-economic feasibility of hydrogen refueling stations for fuel cell vehicles.},
author = {Okonkwo PC and Nwokolo SC and Alarifi SS and Ekwok SE and Orji R and Udo SO and Eldosouky AM and Barhoumi EM and Das BK and Gomez-Ortiz D and Abdelrahman K and Akpan AE.},
year = {2025},
journal = {Sci Rep},
doi = {10.1038/s41598-025-97088-y},
url = {https://doi.org/10.1038/s41598-025-97088-y}
}RIS
TY - JOUR TI - Bio-inspired computational intelligence metaheuristic-based optimization and sensitivity analysis approach to determine techno-economic feasibility of hydrogen refueling stations for fuel cell vehicles. AU - Okonkwo PC AU - Nwokolo SC AU - Alarifi SS AU - Ekwok SE AU - Orji R AU - Udo SO AU - Eldosouky AM AU - Barhoumi EM AU - Das BK AU - Gomez-Ortiz D AU - Abdelrahman K AU - Akpan AE. PY - 2025 JO - Sci Rep DO - 10.1038/s41598-025-97088-y UR - https://doi.org/10.1038/s41598-025-97088-y ER -
APA
PC, O., SC, N., SS, A., SE, E., R, O., SO, U., AM, E., EM, B., BK, D., D, G., K, A., & AE., A. (2025). Bio-inspired computational intelligence metaheuristic-based optimization and sensitivity analysis approach to determine techno-economic feasibility of hydrogen refueling stations for fuel cell vehicles.. Sci Rep. https://doi.org/10.1038/s41598-025-97088-y
Source records
- europe-pmc · retrieved 2026-09-26T07:41:48.474Z
- doaj · retrieved 2026-09-26T07:41:48.464Z