基于遗传算法的中子屏蔽材料组分优化研究

Abstract

Abstract: Based on the fast non-dominated sorting genetic algorithm NSGA-II, multi-objective optimization of shielding design was studied, and automatic optimization design code for composite neutron shielding material component was developed. Aiming at the minimum shielding dose and material density, the effectiveness of the code is demonstrated by an example of 30 cm thick slab shield, which is composed of polyethylene, lead, steel, aluminum, boron and lithium homogeneously. Combining the shielding optimization method based on genetic algorithm and the experience of designer, multi-objective optimization of shielding design can be achieved more efficiently.

Key words: genetic algorithm, multi-objective optimization, neutron shielding, material component

CLC Number:

TL72

CHEN Faguo, LI Guodong, YANG Mingming, HAN Yi, LIANG Runcheng. Optimization research on neutron shielding material component based on genetic algorithm[J].RADIATION PROTECTION, 2020, 40(1): 38-44.

References

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Optimization research on neutron shielding material component based on genetic algorithm

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