基于遗传算法的某作业现场辐射防护最优化问题

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基金项目:

国家自然科学基金(10605021,60675011)

Optimization Problem of Radiation Protection for Site Work based on Genetic Algorithm

1. Image Processing and Pattem 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

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。
- 辐射防护 /
- 最优化 /
- 约束问题 /
- 遗传算法
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.
- Radiation Protection /
- Optimization /
- Constraint problem /
- Genetic algorithm