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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/4038

Title: Genetic algorithm based multi-objective optimization of a Firewater Deluge System
Authors: Borisevic, Jelena
Bartlett, L.M.
Issue Date: 2007
Publisher: © Taylor & Francis Group
Citation: BORISEVIC, J. and BARTLETT, L.M., 2007. Genetic algorithm based multi-objective optimization of a Firewater Deluge System. IN: Aven & Vinnem (eds). Risk, reliability and societal safety: proceedings of the European safety and reliability conference: risk, reliability and societal safety, June 2007, Stavanger, Norway, vol. 1, pp. 107-114
Abstract: This paper describes a design optimization scheme using multi-objective genetic algorithms (MOGAs) applied to a Firewater Deluge System (FDS) used on an offshore platform. The FDS works to supply, on demand, water and foam at a controlled pressure to a specific area on the platform, protected by a deluge system and, hence, requires a high likelihood of functioning on demand. The failure of such a system may have catastrophic consequences, possibly injuring members of the work force or public and occasionally resulting in loss of life. Therefore, it is imperative to make the best use of the available FDS resources and produce an optimal not just adequate system design.
Description: This conference paper is restricted access.
Version: Restricted access
URI: https://dspace.lboro.ac.uk/2134/4038
ISBN: 9780415447867
Appears in Collections:Closed Access (Aeronautical and Automotive Engineering)

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