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

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.