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System design optimization with mixed subsystems failure dependencies
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DOI：10.1016/j.ress.2022.109005.png)
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Abstract
En 中文
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.
Keywords:
System availability
System cost
Mixed failure dependencies
Differential evolution (DE)
Manta ray foraging optimization (MRFO)
Shuffled frog leaping algorithm (SFLA)
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