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首页> 外文期刊>Simulation modelling practice and theory: International journal of the Federation of European Simulation Societies >Reliability-redundancy allocation problem with cold-standby redundancy strategy
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Reliability-redundancy allocation problem with cold-standby redundancy strategy

机译：具有冷备冗余策略的可靠性-冗余分配问题

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This paper considers the mixed-integer non-linear optimization of reliability-redundancy allocation problem (RRAP) to determine simultaneous reliability and redundancy level of components. In the RRAP, it is necessary to create a trade-off between component reliabilities and the number of redundant components with the aim of maximizing system reliability through component reliability choices and component redundancy levels. RRAPs have been generally formulated by considering an active redundancy strategy. A large number of solution methods have been developed to deal with these problems. In this paper, a cold-standby strategy for redundant components is used, for the first time, to model the RRAP; a modified genetic algorithm is developed to solve the proposed non-linear mixed-integer problem; and three famous benchmark problems are used for comparison. The results indicate that the cold-standby strategy exhibits a better performance and yields higher reliability values compared to the previous studies.
机译：本文考虑可靠性-冗余分配问题（RRAP）的混合整数非线性优化，以确定组件的同时可靠性和冗余级别。在RRAP中，有必要在组件可靠性和冗余组件数量之间进行权衡，目的是通过组件可靠性选择和组件冗余级别来最大化系统可靠性。 RRAP通常是通过考虑主动冗余策略来制定的。已经开发出许多解决方法来解决这些问题。在本文中，首次使用冗余组件的冷备用策略对RRAP进行建模。提出了一种改进的遗传算法来解决提出的非线性混合整数问题。并使用三个著名的基准问题进行比较。结果表明，与以前的研究相比，冷待机策略表现出更好的性能并产生更高的可靠性值。

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