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Genetic algorithm based multi-objective optimization of a Firewater Deluge System

conference contribution
posted on 05.12.2008 by Jelena Borisevic, Lisa Jackson
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.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

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

Publisher

© Taylor & Francis Group

Version

NA (Not Applicable or Unknown)

Publication date

2007

Notes

This conference paper is restricted access.

ISBN

9780415447867

Language

en

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