System design optimization with mixed subsystems failure dependencies
Mohamed Arezki Mellal,
Enrico Zio (),
Sameer Al-Dahidi,
Naoki Masuyama and
Yusuke Nojima
Additional contact information
Mohamed Arezki Mellal: UMBB - Université M'Hamed Bougara Boumerdes
Enrico Zio: POLIMI - Politecnico di Milano [Milan], CRC - Centre de recherche sur les Risques et les Crises - Mines Paris - PSL (École nationale supérieure des mines de Paris) - PSL - Université Paris Sciences et Lettres
Sameer Al-Dahidi: GJU - German Jordanian University
Naoki Masuyama: Osaka Metropolitan University
Yusuke Nojima: Osaka Metropolitan University
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Abstract:
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.
Keywords: Differential evolution (DE); Manta ray foraging optimization (MRFO); Mixed failure dependencies; Shuffled frog leaping algorithm (SFLA); System availability; System cost; Biomimetics; Constraint handling; Evolutionary algorithms (search for similar items in EconPapers)
Date: 2023-03
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Citations: View citations in EconPapers (4)
Published in Reliability Engineering and System Safety, 2023, 231, pp.109005. ⟨10.1016/j.ress.2022.109005⟩
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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04103840
DOI: 10.1016/j.ress.2022.109005
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