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A new Markov-based model for reliability optimization problems with mixed redundancy strategy
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DOI：10.1016/j.ress.2020.106987.png)
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摘要
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This paper revisits the redundancy allocation problem (RAP) from the viewpoint of the mixed redundancy strategy. This powerful strategy has some major weaknesses originated from its complicated formulation. Previously, for estimating the reliability of this strategy a lower bound formulation was introduced. In an attempt to improve the complicated, time-consuming, and imprecise lower bound formulation previously proposed, in this paper, an exact Markov based approach is developed. Being a powerful and robust tool, it is especially advantageous for its short computation time. This is demonstrated by its implementation to solve a well-known benchmark test problem. Based on the results, the new approach finds better solutions with higher reliability values than before, with a significant reduction in the computation time.
Keyword:
Redundancy allocation problem
Mixed redundancy strategy
Exact formulation
Continuous time Markov chain
Genetic algorithm
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11
论文数:
9.0K
被引数:
4.2W
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