GSOANR-based multi-objective train trajectory optimization

Li, W, Zhao, S, Li, K et al. (3 more authors) (2023) GSOANR-based multi-objective train trajectory optimization. International Journal of Rail Transportation. ISSN 2324-8378



Copyright, Publisher and Additional Information: © 2023 Informa UK Limited, trading as Taylor & Francis Group. This is an author produced version of an article published in International Journal of Rail Transportation. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Train trajectory optimization, Energy-efficient train operation, Energy saving measures, Multi-objective optimization, Modified GSO algorithm
  • Accepted: 18 March 2023
  • Published (online): 4 April 2023
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: 12 Apr 2023 09:31
Last Modified: 12 Apr 2023 09:31
Status: Published online
Publisher: Taylor and Francis
Identification Number:


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Embargoed until: 4 April 2024

Filename: GSOANR based multi-objective train trajectory optimization-final accepted.pdf

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