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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组件的系统的多目标可用性优化

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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:本文提出了一种用于多目标冗余分配问题(MORAP)的新数学模型。传统上,冗余分配问题(RAP)由两大类组成,即可靠性优化和可用性优化问题。在可用性和可靠性级别中,假定整个组件分别是可修复的和不可修复的。在本文中,提出了一种混合整数非线性规划(MINLP)模型,用于同时使用可修复组件和不可修复组件对系统的可用性优化进行建模。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,为了展示所提出的遗传算法的能力,使用商业软件包对MINLP模型进行了求解。实验结果表明,与商用软件相比,提出的GA可以提供更好的解决方案。

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