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Multi-objective availability optimization of a system with repairable and non-repairable components

机译:具有可修复和不可修复的组件的系统多目标可用性优化系统

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This paper presents a new mathematical model for multi-objective redundancy allocation problems (MORAP). Traditionally, redundancy allocation problem (RAP) consists of two general classes, reliability optimization and availability optimization problems. In availability and reliability classes it is assumed that the entire components are repairable and nonrepairable, respectively. In this paper a Mixed Integer Nonlinear Programming (MINLP) model is presented to modeling the problem for availability optimization of a system using both repairable and non-repairable components, simultaneously. To find the solution of proposed MINLP model an efficient Genetic Algorithm (GA) is presented. Furthermore, to show the capability of proposed GA, the MINLP model is solved by using a commercial software package. Experimental results demonstrate that proposed GA result in a better solution compared to commercial software.
机译:本文介绍了多目标冗余分配问题的新数学模型(Morap)。传统上,冗余分配问题(RAP)包括两个一般类,可靠性优化和可用性优化问题。在可用性和可靠性等级中,假设整个组件分别是可修复和不可批量的。在本文中,提出了一种混合整数非线性编程(MINLP)模型,以同时使用可修复和不可修复的组件来建立用于系统的可用性优化的问题。为了找到所提出的MINLP模型的解决方案,提出了一种有效的遗传算法(GA)。此外,为了显示所提出的GA的能力,通过使用商业软件包来解决MINLP模型。实验结果表明,与商业软件相比,所提出的GA导致更好的解决方案。

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