RateSetter: roadmap for faster, safer, and better platform train interface design and operation using evolutionary optimisation

Fletcher, D. orcid.org/0000-0002-1562-4655, Harrison, R. orcid.org/0000-0002-9323-8637, Karmakharm, T. et al. (2 more authors) (2018) RateSetter: roadmap for faster, safer, and better platform train interface design and operation using evolutionary optimisation. In: Aguirre, H.E. and Takadama, K., (eds.) GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO '18: Genetic and Evolutionary Computation Conference, 15-19 Jul 2018, Kyoto, Japan. Association for Computing Machinery , pp. 1230-1237. ISBN 9781450356183

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2018 Association for Computing Machinery. This is an author-produced version of a paper subsequently published in GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: real-world applications; optimisation; platform train interface
Dates:
  • Published (online): 2 July 2018
  • Published: 2 July 2018
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield)
The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 04 May 2023 13:10
Last Modified: 04 May 2023 15:43
Status: Published
Publisher: Association for Computing Machinery
Refereed: Yes
Identification Number: https://doi.org/10.1145/3205455.3205605
Related URLs:

Export

Statistics