Paper Info
Title
Designing a risk-informed balanced system by genetic algorithms: Comparison of different balancing criteria
Abstract
This paper deals with the use of importance measures (IMs) for the risk-informed optimization of system design and operation. It builds on previous work by the authors in which IMs are incorporated in the formulation of a genetic algorithm (GA) multi-objective optimization problem to drive the design towards a solution which is ‘balanced’ in the importance values of the components. This allows designing systems that are optimal from the point of view of economics and safety, without excessively low- or unnecessarily high-performing components.
Year
DOI
Venue
2008
10.1016/j.ress.2008.03.015
Reliability Engineering & System Safety
Keywords
DocType
Volume
Risk-informed test/maintenance,Importance measures,Fusse–Vesely,Birnbaum,Risk achievement worth,Genetic algorithms
Journal
93
Issue
ISSN
Citations 
12
0951-8320
2
PageRank 
References 
Authors
0.39
7
2
Name
Order
Citations
PageRank
Luca Podofillini138331.44
Enrico Zio274257.86