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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Frontiers Media S.A.
2022-08-01
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Series: | Frontiers in Energy Research |
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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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format | Article |
id | doaj.art-2ad24490c5fa47f4bfd53dcda1c51fca |
institution | Directory Open Access Journal |
issn | 2296-598X |
language | English |
last_indexed | 2024-04-11T21:24:42Z |
publishDate | 2022-08-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Energy Research |
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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