An entropy-based three-stage approach for multi-objective system reliability optimization considering uncertainty |
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Authors: | Ran Cao Wei Hou Yanying Gao |
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Affiliation: | College of Electrical and Information, Northeast Agricultural University, Harbin, People’s Republic of China |
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Abstract: | This article presents a three-stage approach for solving multi-objective system reliability optimization problems considering uncertainty. The reliability of each component is considered in the formulation as a component reliability estimate in the form of an interval value and discrete values. Component reliability may vary owing to variations in the usage scenarios. Uncertainty is described by defining a set of usage scenarios. To address this problem, an entropy-based approach to the redundancy allocation problem is proposed in this study to identify the deterministic reliability of each component. In the second stage, a multi-objective evolutionary algorithm (MOEA) is applied to produce a Pareto-optimal solution set. A hybrid algorithm based on k-means and silhouettes is performed to select representative solutions in the third stage. Finally, a numerical example is presented to illustrate the performance of the proposed approach. |
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Keywords: | Uncertainty entropy system reliability multi-objective optimization |
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