期刊论文

Song, Yingming

英文

Annals of Nuclear Energy

0306-4549

2020

149

107771

10.1016/j.anucene.2020.107771

In this paper, two multi-objective optimization models were established, and calculation results were obtained by the improved coupling program, then lightest optimal solutions were calculated by MC program to verify the accuracy of the MSGD method and the feasibility of this coupling method for multi-objective optimization.

本校为第一且通讯机构

Safety and lightweight optimization are significant in developing high-performance compact nuclear reactors. We proposed the reactor radiation shielding optimization method by coupling genetic algorithm and neural network. The engineering design is a multi-objective and multi-constrained complex optimization problem. Thus, we improved it by non-dominated sorting genetic algorithm (NSGA-II) and mini-batch stochastic gradient descent (MSGD), and proposed an adaptive mutation rate operator to improve the global searching capability. The multi-obje...