Fusion of artificial neural networks and genetic algorithms for multi-objective system reliability design optimization

E Zio, F Di Maio and S Martorell

Journal of Risk and Reliability, 2008, vol. 222, issue 2, 115-126

Abstract: In this work, artificial neural networks (ANNs) are used to include the decision-maker's preference structure within a genetic algorithm (GA) search of the optimal system reliability configuration. For verification, the proposed approach is applied to two literature case studies of increasing complexity concerning the optimization of the reliability design of a series system.

Keywords: artificial neural networks; genetic algorithms; multi-objective optimization; decision-maker's preference; system reliability optimization; Pareto front (search for similar items in EconPapers)
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:sae:risrel:v:222:y:2008:i:2:p:115-126

DOI: 10.1243/1748006XJRR126

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