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基于遗传算法的某作业现场辐射防护最优化问题
引用本文:周秀玲,陈宝维,安永峰,郭平.基于遗传算法的某作业现场辐射防护最优化问题[J].核动力工程,2012,33(1):104-106,123.
作者姓名:周秀玲  陈宝维  安永峰  郭平
作者单位:1. 北京师范大学图像处理与模式识别实验室.北京,100875;北京城市学院人工智能研究所,北京,100083
2. 中国辐射防护研究院,太原,030006
3. 北京师范大学图像处理与模式识别实验室.北京,100875
摘    要:运用遗传算法(GA)对核电厂大修现场中一个阀门维修中管道临时屏蔽方案进行优化设计,建立对2根管道屏蔽的辐射剂量的数学模型,将模型转化为一个带约束的组合优化问题,然后采用GA对此问题进行求解。实验结果表明,GA可以给出精确、完整的屏蔽方案。

关 键 词:辐射防护  最优化  约束问题  遗传算法

Optimization Problem of Radiation Protection for Site Work based on Genetic Algorithm
ZHOU Xiu-ling , CHEN Bao-wei , AN Yong-feng , GUO Ping.Optimization Problem of Radiation Protection for Site Work based on Genetic Algorithm[J].Nuclear Power Engineering,2012,33(1):104-106,123.
Authors:ZHOU Xiu-ling  CHEN Bao-wei  AN Yong-feng  GUO Ping
Affiliation:1.Image Processing and Pattern Recognition Laboratory,Beijing Normal University,Beijing,100875,China; 2.Artificial Intelligence Institute,Beijing City University,Beijing,100083,China; 3.China Institute for Radiation Protection,Taiyuan,030006,China
Abstract:In this paper,Genetic Algorithm is applied for optimizing the temporary shielding plan of pipes when a valve needs to be repaired in the field of radiation protection.Firstly,the mathematical model of the radiation dose for shielding of two pipes is established,and then the model is converted to a constrained combinational optimization problem.The Genetic Algorithm is used to solve this optimization problem.The experimental results show that the Genetic Algorithm can give an accurate complete radiation protection scheme.
Keywords:Radiation Protection  Optimization  Constraint problem  Genetic algorithm
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