多目标辐射屏蔽优化设计方法  

Multi-objective Optimization Design Method of Radiation Shielding

作　　者：杨寿海[1] 陈义学[1,2] 王伟金[1] 陆道纲[1] 

机构地区：[1]华北电力大学核科学与工程学院,北京102206 [2]国家核电软件技术中心,北京100029

出　　处：《原子能科学技术》2012年第1期79-83,共5页Atomic Energy Science and Technology

基　　金：国家自然科学基金资助项目(10875042);北京市优秀人才培养基金资助项目;中央高校基本科研业务费专项基金资助项目(10ZG08)

摘　　要：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。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 optimi- zation of screening code which combines the genetic algorithm and discrete-ordinate methodwas developed to minimize the costs, size, weight, and so on. This work has some practical significance for gaining the optimization design of shielding.

关 键 词：遗传算法 多目标 屏蔽优化 

分 类 号：TL32[核科学技术—核技术及应用]