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An efficient simulated annealing algorithm for the redundancy allocation problem with a choice of redundancy strategies

机译:一种高效的仿真退火算法,用于冗余分配问题,并可选择冗余策略

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摘要

The redundancy allocation problem (RAP) is an important reliability optimization problem. This paper studies a specific RAP in which redundancy strategies are chosen. To do so, the choice of the redundancy strategies among active and cold standby is considered as decision variables. The goal is to select the redundancy strategy, component, and redundancy level for each subsystem such that the system reliability is maximized. Since RAP is a NP-hard problem, we propose an efficient simulated annealing algorithm (SA) to solve it. In addition, to evaluating the performance of the proposed algorithm, it is compared with well-known algorithms in the literature for different test problems. The results of the performance analysis show a relatively satisfactory efficiency of the proposed SA algorithm.
机译:冗余分配问题(RAP)是一个重要的可靠性优化问题。本文研究了选择冗余策略的特定 RAP。为此,将主备和冷备用之间的冗余策略选择视为决策变量。目标是为每个子系统选择冗余策略、组件和冗余级别,以便最大限度地提高系统可靠性。由于RAP是一个NP难问题,我们提出了一种高效的模拟退火算法(SA)来解决它。此外,为了评估所提算法的性能,针对不同的测试问题,与文献中已知的算法进行了比较。性能分析结果表明,所提SA算法的效率较好。

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