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Bio-inspired computational intelligence metaheuristic-based optimization and sensitivity analysis approach to determine techno-economic feasibility of hydrogen refueling stations for fuel cell vehicles
Research article (Scientific Reports, 2025) · cited 19× · AI/ML
Bio-inspired computational intelligence metaheuristic-based optimization and sensitivity analysis approach to determine techno-economic feasibility of hydrogen refueling stations for fuel cell vehicles
Summary
Bio-inspired computational intelligence metaheuristic-based optimization and sensitivity analysis approach to determine techno-economic feasibility of hydrogen refueling stations for fuel cell vehicles is a scholarly article[1].
Key Facts
Bio-inspired computational intelligence metaheuristic-based optimization and sensitivity analysis approach to determine techno-economic feasibility of hydrogen refueling stations for fuel cell vehicles's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Bio-inspired computational intelligence metaheuristic-based optimization and sensitivity analysis approach to determine techno-economic feasibility of hydrogen refueling stations for fuel cell vehicles. Retrieved May 24, 2026, from https://4ort.xyz/entity/bio-inspired-computational-intelligence-metaheuristic-based-optimization-and-sensitivity-analysis-approach-to-determine-
MLA“Bio-inspired computational intelligence metaheuristic-based optimization and sensitivity analysis approach to determine techno-economic feasibility of hydrogen refueling stations for fuel cell vehicles.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bio-inspired-computational-intelligence-metaheuristic-based-optimization-and-sensitivity-analysis-approach-to-determine-.
BibTeX@misc{4ortxyz_bio-inspired-computational-intelligence-metaheuristic-based-optimization-and-sensitivity-analysis-approach-to-determine-_2026, author = {{4ort.xyz Knowledge Graph}}, 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}}, year = {2026}, url = {https://4ort.xyz/entity/bio-inspired-computational-intelligence-metaheuristic-based-optimization-and-sensitivity-analysis-approach-to-determine-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bio-inspired computational intelligence metaheuristic-based optimization and sensitivity analysis approach to determine techno-economic feasibility of hydrogen refueling stations for fuel cell vehicles — https://4ort.xyz/entity/bio-inspired-computational-intelligence-metaheuristic-based-optimization-and-sensitivity-analysis-approach-to-determine- (retrieved 2026-05-24)
