期刊论文

Research on Intelligent Optimization of Reactor Radiation Shielding Design Based on FCNN-NSGA-Ⅲ

中文

原子核物理评论

1007-4627

2023

40

4

572-578

10.11804/NuclPhysRev.40.2022118

广东省基础与应用基础研究基金项目(2020B1515120035,2021A1515010265,2022A1515011462)。

本校为第一机构

为了解决传统的辐射屏蔽设计中存在的效率低且误差高的问题,提出了一种基于全连接神经网络(FCNN)与第三代非支配排序遗传算法(NSGA-Ⅲ)相耦合的反应堆屏蔽设计智能优化方法。以熔盐反应堆为例,建立反应堆屏蔽优化模型并利用...展开更多 为了解决传统的辐射屏蔽设计中存在的效率低且误差高的问题,提出了一种基于全连接神经网络(FCNN)与第三代非支配排序遗传算法(NSGA-Ⅲ)相耦合的反应堆屏蔽设计智能优化方法。以熔盐反应堆为例,建立反应堆屏蔽优化模型并利用蒙特卡罗软件计算大量样本,使用FCNN对计算数据进行机器学习,建立输入层参数与输出层参数的的多维非线性映射关系,将神经网络预测结果作为计...

In order to solve the problems of low efficiency and high error in traditional radiation shielding design,an intelligent optimization method for reactor shielding design based on the coupling of the fully connected neural network(FCNN)and the third generation non domina...MORE In order to solve the problems of low efficiency and high error in traditional radiation shielding design,an intelligent optimization method for reactor shielding design based on the coupling of the fully connected neural network(FCNN)and the third generation non dominated sorting genetic algorithm(NSGA-III)was proposed....