Optimizing Station Selection and Routing Efficiency Using the Pickup and Delivery Problem Method with A-Star and Genetic Algorithm-Reference-Cited by-同舟云学术

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Optimizing Station Selection and Routing Efficiency Using the Pickup and Delivery Problem Method with A-Star and Genetic Algorithm

Published:2024 Issue: Volume: Page:188-198
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:en
Short-container-title:

Author:

Abibou Soukayna,Bourakadi Dounia El,Yahyaouy Ali,Gualous Hamid,Obeid Hussein

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-53824-7_18

Reference26 articles.

1. Weinert, J., Shaojun, L., Ogden, J., Jianxin, M.: Hydrogen refueling station costs in Shanghai. Int. J. Hydrogen Energy 32(16), 4089–4100 (2007). https://doi.org/10.1016/j.ijhydene.2007.05.010

2. Abohamzeh, E., Salehi, F., Sheikholeslami, M., Abbassi, R., Khan, F.: Review of hydrogen safety during storage, transmission, and applications processes. J. Loss Prev. Process Ind. 72, 104569 (2021). https://doi.org/10.1016/j.jlp.2021.104569

3. Brown, T., Kisting, H.: Analysis of customer queuing at hydrogen stations. Int. J. Hydrogen Energy 47(39), 17107–17120 (2022). https://doi.org/10.1016/j.ijhydene.2022.03.211

4. Brown, T., Shane Stephens-Romero, G., Samuelsen, S.: Quantitative analysis of a successful public hydrogen station. Int. J. Hydrogen Energy 37(17), 12731–12740 (2012). https://doi.org/10.1016/j.ijhydene.2012.06.008

5. Wróbel, K., Wróbel, J., Tokarz, W., Lach, J., Podsadni, K., Czerwiński, A.: Hydrogen internal combustion engine vehicles: a review. Energies 15(23), 8937 (2022). https://doi.org/10.3390/en15238937

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1. Hydrogen Vehicle Routing Problem with Time Windows and Vehicle Capacity;2024 International Conference on Intelligent Systems and Computer Vision (ISCV);2024-05-08

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