Component Optimization of Shielding Material Based on Multi-objective Genetic Algorithm

摘要

In the development of shielding materials on the base of organic copolymer with tungsten(W),gadolinium(Gd)and other materials,the components of materials need to be optimized.Therefore,the multi-objective genetic algorithm was used to solve the optimal composition of multilayer shielding materials,and the mass fraction of organic copolymer,high-purity W and Gd in each layer of shielding materials was obtained.It is expected to obtain the weight of neutron transmittance,gamma ray transmittance,radiation dose rate,material density,and provide a series of optimal reference for engineering design.