A safety system is an essential part of any industrial system as it operates to prevent the occurrence of certain conditions and their future development into a hazardous situation. Failure of such systems may have catastrophic consequences from small injuries to even death of members of the workforce and public, therefore, it is imperative to minimize safety system unavailability and also find the balance between its unavailability and other limitations on its operation, for example, life cycle cost and spurious trip frequency. Hence, a multi-objective optimization of the system design is required. This paper describes a design optimization scheme using multi-objective genetic algorithms (MOGAs) applied to a firewater deluge system (FDS) on an offshore platform, which works to supply on demand water and foam at a controlled pressure to a specific area on the platform, protected by the deluge system.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.