Optimisation of a fuzzy logic-based local real-time control system for mitigation of sewer flooding using genetic algorithms

Mounce, S., Shepherd, W. orcid.org/0000-0003-4434-9442, Ostojin, S. et al. (4 more authors) (2020) Optimisation of a fuzzy logic-based local real-time control system for mitigation of sewer flooding using genetic algorithms. Journal of Hydroinformatics, 22 (2). jh2019058. pp. 281-295. ISSN 1464-7141

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 IWA Publishing. This is an author-produced version of a paper subsequently published in Journal of Hydroinformatics. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: fuzzy logic; genetic algorithm; real-time control; sewer flooding; urban flood risk
Dates:
  • Accepted: 30 November 2019
  • Published (online): 24 December 2019
  • Published: March 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield)
Funding Information:
FunderGrant number
EUROPEAN COMMISSION - HORIZON 2020641931
Depositing User: Symplectic Sheffield
Date Deposited: 03 Jan 2020 12:37
Last Modified: 19 Oct 2021 11:21
Status: Published
Publisher: IWA Publishing
Refereed: Yes
Identification Number: https://doi.org/10.2166/hydro.2019.058

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