Determination of the optimal sizes and locations of hydrogen refueling stations for deploying hydrogen locomotives using multi-objective particle swarm optimization

This study presents a multi-objective, capacitated flow refueling location model aimed at identifying the optimal locations and capacities of hydrogen refueling stations (HRS) to support the deployment of hydrogen-powered passenger trains in the Northeast Frontier Railway (NFR) region of Assam, Indi...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 29; H. 23-24; S. 5971 - 5987
Hauptverfasser:	Sarma, Upasana, Ganguly, Sanjib
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2025 Springer Nature B.V
Schlagworte:	Alternative energy Artificial Intelligence Computational Intelligence Control Costs Engineering Evolutionary algorithms Fuel cells Hydrogen Hydrogen production Infrastructure Integer programming Locomotives Mathematical Logic and Foundations Mechatronics Multiple objective analysis Optimization Particle swarm optimization Passenger trains Planning Railway stations Refueling Robotics Traffic flow Trains Vehicles Binary particle swarm optimization Hydrogen refueling station Multi-objective optimization Railway planning Strength Pareto evolutionary algorithm 2
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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