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Veuillez utiliser cette adresse pour citer ce document : http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/11178

Titre: System design optimization with mixed subsystems failure dependencies
Auteur(s): Mellal, Mohamed Arezki
Zio, Enrico
Al-Dahidi, Sameer
Masuyama, Naoki
Nojima, Yusuke
Mots-clés: Differential evolution (DE)
Manta ray foraging optimization (MRFO)
Mixed failure dependencies
Shuffled frog leaping algorithm (SFLA)
System availability
System cost
Date de publication: 2023
Editeur: Elsevier
Collection/Numéro: Reliability Engineering and System Safety/ Vol.231 (2023);pp. 1-12
Résumé: Systems present dependencies among their components failure behavior, which impact their ultimate availability. Previous works addressed the optimal design of systems in relation to its cost and under given availability constraint, considering identical subsystems failure dependencies. The present paper addresses this problem in a realistic scenario by taking into consideration mixed subsystems failure dependencies. The problem is formulated with reference to a complex bridge network system and a series-parallel system. Three nature-inspired optimization techniques are implemented to solve the problem, namely differential evolution (DE), manta ray foraging optimization (MRFO), and shuffled frog leaping algorithm (SFLA) with constraint handling. A numerical evaluation is performed; the results show that DE outperforms MRFO and SFLA
URI/URL: https://www.sciencedirect.com/science/article/pii/S0951832022006202
https://doi.org/10.1016/j.ress.2022.109005
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/11178
ISSN: 09518320
Collection(s) :Publications Internationales

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