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首页> 外文期刊>Annals of nuclear energy >A novel multi-objective shielding optimization method: DNN-PCA-NSGA-Ⅱ
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A novel multi-objective shielding optimization method: DNN-PCA-NSGA-Ⅱ

机译:一种新型多目标屏蔽优化方法:DNN-PCA-NSGA-Ⅱ

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摘要

Safety and lightweight optimization is significant in shielding design of compact nuclear reactors. The optimal solutions obtained by the existing intelligent optimization algorithm of shielding design is not ideal when there are redundant optimization objectives. In this paper, we propose a novel multi-objective shielding optimization method which couples NSGA-II, deep neural network (DNN) and principal component analysis (PCA) for optimization by eliminating redundant objectives. The efficacy of the method is demonstrated by solving up to a plate shielding model and Savannah marine nuclear power reactor shielding model. (C) 2021 Published by Elsevier Ltd.
机译:安全性和轻质优化在紧凑型核反应堆的屏蔽设计中是显着的。 当存在冗余优化目标时,通过现有智能优化算法获得的最佳解决方案并不理想。 在本文中,我们提出了一种新的多目标屏蔽优化方法,通过消除冗余目标来实现NSGA-II,深神经网络(DNN)和主成分分析(PCA)的优化。 通过求解板屏蔽模型和大草原海洋核电力反应堆屏蔽模型,证明了该方法的功效。 (c)2021由elestvier有限公司出版

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