Robust Optimization of Energy-Saving Train Trajectories under Passenger Load Uncertainty Based on p-NSGA-II

Xing, C, Li, K orcid.org/0000-0001-6657-0522, Zhang, L et al. (1 more author) (2022) Robust Optimization of Energy-Saving Train Trajectories under Passenger Load Uncertainty Based on p-NSGA-II. IEEE Transactions on Transportation Electrification. p. 1. ISSN 2332-7782

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Keywords: Train energy-saving speed trajectories , robust multi-objective optimization , train load uncertainty , p-NSGA-II
Dates:
  • Published (online): 28 July 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 02 Aug 2022 11:13
Last Modified: 03 Aug 2022 09:40
Status: Published online
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Identification Number: https://doi.org/10.1109/tte.2022.3194698

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