Events group risk importance by genetic algorithms

L Podofillini and E Zio

Journal of Risk and Reliability, 2008, vol. 222, issue 3, 337-346

Abstract: In this paper, the power of genetic algorithms is exploited to search for the most important groups of events in a risk/reliability model. To this end a two-objective search is formulated in which the decision variables are the groups of events, and the objectives are to maximize the importance of the groups, while minimizing their dimension. This allows the identification of the most important single events, couples of events, triplets, and so forth. Three case studies concerning network systems of increasing complexity are analysed.

Keywords: group importance measures; Fussell—Vesely importance measure; differential importance measure; multi-objective optimization; multi-objective genetic algorithms; network systems; redundancy allocation (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:risrel:v:222:y:2008:i:3:p:337-346

DOI: 10.1243/1748006XJRR135

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