Study on Multi-Objective Optimization Method for Radiation Shielding Based on Non-Dominated Sorting Genetic Algorithm

被引：0
|
作者：
Cao Q. [1 ,2 ]
Zhang Z. [1 ,2 ]
Chen Z. [1 ,2 ]
Ma H. [1 ,2 ]
Yu T. [1 ,2 ]
机构：
[1] School of Nuclear Science and Technology, University of South China, Hengyang, 421001, Hunan
[2] Hunan Engineering and Technology Research Center for Virtual Nuclear Reactor, Hengyang, 421001, Hunan
来源：
Hedongli Gongcheng/Nuclear Power Engineering | 2020年 / 41卷 / 01期
关键词：
Genetic algorithm; Multi-objective optimization; Non-dominant sorting; Radiation shielding;
D O I：
10.13832/j.jnpe.2020.01.0167
中图分类号：
学科分类号：
摘要：
In order to improve the design efficiency and the design performance of the reactor radiation shielding structure and reduce the subjective experience of the traditional radiation shielding design method, this paper studies the multi-objective optimization method of the reactor shielding structure based on the non-dominant sorting genetic algorithm. A multi-objective optimization analysis program for the reactor radiation shielding design is developed. The optimization method and the calculation program are preliminarily verified by the typical reactor radiation shielding structure model. The results show that the non-dominated genetic algorithm can be applied in the design of the radiation shielding structure correctly and effectively, and the optimization effect is remarkable. © 2020, Editorial Board of Journal of Nuclear Power Engineering. All right reserved.
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页码：167 / 171
页数：4
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