Study on multi-objective optimization for nuclear reactor radiation shield design coupling genetic algorithm with paralleling discrete ordinate code

An optimization method combining a genetic algorithm and the paralleling discrete ordinate code is developed and applied to the shielding design of the Savannah reactor. Several approaches are studied to cope with the multi-objective optimization problem, such as transforming into single-objective o...

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Main Authors: Bin Liu, Yi Tan, Futing Jing, Guang Hu, Mingfei Yan
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Energy Research
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2022.935648/full
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author Bin Liu
Yi Tan
Futing Jing
Guang Hu
Mingfei Yan
author_facet Bin Liu
Yi Tan
Futing Jing
Guang Hu
Mingfei Yan
author_sort Bin Liu
collection DOAJ
description An optimization method combining a genetic algorithm and the paralleling discrete ordinate code is developed and applied to the shielding design of the Savannah reactor. Several approaches are studied to cope with the multi-objective optimization problem, such as transforming into single-objective optimization approach, non-dominated sorting approach, and the approach of adding constraints on sub-objectives. Comparing with the current design methods, the optimization method developed in this study shows better performance since the discrete ordinate calculations are free of statistical fluctuations. The multi-objective optimization approach with constraints on sub-objectives seems to have the best performance. More optimized individuals satisfying the constraints can be obtained, and the optimized objectives show the best improvements comparing with the initial design.
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spelling doaj.art-2ad24490c5fa47f4bfd53dcda1c51fca2022-12-22T04:02:29ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2022-08-011010.3389/fenrg.2022.935648935648Study on multi-objective optimization for nuclear reactor radiation shield design coupling genetic algorithm with paralleling discrete ordinate codeBin Liu0Yi Tan1Futing Jing2Guang Hu3Mingfei Yan4Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu, ChinaScience and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu, ChinaScience and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China, Chengdu, ChinaSchool of Nuclear Science and Technology, Xi’an Jiaotong University, Xi’an, Shannxi, ChinaRIKEN Center for Advanced Photonics, RIKEN, Wako, Saitama, JapanAn optimization method combining a genetic algorithm and the paralleling discrete ordinate code is developed and applied to the shielding design of the Savannah reactor. Several approaches are studied to cope with the multi-objective optimization problem, such as transforming into single-objective optimization approach, non-dominated sorting approach, and the approach of adding constraints on sub-objectives. Comparing with the current design methods, the optimization method developed in this study shows better performance since the discrete ordinate calculations are free of statistical fluctuations. The multi-objective optimization approach with constraints on sub-objectives seems to have the best performance. More optimized individuals satisfying the constraints can be obtained, and the optimized objectives show the best improvements comparing with the initial design.https://www.frontiersin.org/articles/10.3389/fenrg.2022.935648/fullmulti-objective optimizationgenetic algorithmPareto optimalityparalleling SN codenuclear reactor shielding
spellingShingle Bin Liu
Yi Tan
Futing Jing
Guang Hu
Mingfei Yan
Study on multi-objective optimization for nuclear reactor radiation shield design coupling genetic algorithm with paralleling discrete ordinate code
Frontiers in Energy Research
multi-objective optimization
genetic algorithm
Pareto optimality
paralleling SN code
nuclear reactor shielding
title Study on multi-objective optimization for nuclear reactor radiation shield design coupling genetic algorithm with paralleling discrete ordinate code
title_full Study on multi-objective optimization for nuclear reactor radiation shield design coupling genetic algorithm with paralleling discrete ordinate code
title_fullStr Study on multi-objective optimization for nuclear reactor radiation shield design coupling genetic algorithm with paralleling discrete ordinate code
title_full_unstemmed Study on multi-objective optimization for nuclear reactor radiation shield design coupling genetic algorithm with paralleling discrete ordinate code
title_short Study on multi-objective optimization for nuclear reactor radiation shield design coupling genetic algorithm with paralleling discrete ordinate code
title_sort study on multi objective optimization for nuclear reactor radiation shield design coupling genetic algorithm with paralleling discrete ordinate code
topic multi-objective optimization
genetic algorithm
Pareto optimality
paralleling SN code
nuclear reactor shielding
url https://www.frontiersin.org/articles/10.3389/fenrg.2022.935648/full
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AT guanghu studyonmultiobjectiveoptimizationfornuclearreactorradiationshielddesigncouplinggeneticalgorithmwithparallelingdiscreteordinatecode
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