多目标辐射屏蔽优化设计方法

由于复杂核装置的屏蔽设计目标的多样化，同时屏蔽设计过程的不确定因素众多，因此有必要开发一种智能屏蔽优化设计的方法，实现屏蔽方案选择的自动化，减少人因等不确定因素的影响。本工作结合遗传算法与离散纵标方法，同时考虑造价、体积、重量等的最小化，开发了遗传算法多目标屏蔽优化程序，实现了经济可行的辐射屏蔽设计方案的自动化获取。该工作对优化屏蔽设计方案的获取有一定的现实意义。

Multi-objective Optimization Design Method of Radiation Shielding

Due to the shielding design goals of diversification and uncertain process of many factors,it is necessary to develop an optimization design method of intelligent shielding by which the shielding scheme selection will be achieved automatically and the uncertainties of human impact will be reduced.For economical feasibility to achieve a radiation shielding design for automation,the multi-objective genetic algorithm optimization of screening code which combines the genetic algorithm and discrete-ordinate method was developed to minimize the costs,size,weight,and so on.This work has some practical significance for gaining the optimization design of shielding.