期刊
RELIABILITY ENGINEERING & SYSTEM SAFETY
卷 231, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.ress.2022.109005
关键词
System availability; System cost; Mixed failure dependencies; Differential evolution (DE); Manta ray foraging optimization (MRFO); Shuffled frog leaping algorithm (SFLA)
This study addresses the impact of component failure dependencies on system availability and presents a realistic scenario by considering 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, and the results show that differential evolution (DE) outperforms manta ray foraging optimization (MRFO) and shuffled frog leaping algorithm (SFLA).
Systems present dependencies among their components failure behavior, which impact their ultimate avail-ability. 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 optimi-zation 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 eval-uation is performed; the results show that DE outperforms MRFO and SFLA.
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