摘要
成功地将遗传算法和禁忌搜索算法应用于核反应堆堆芯可燃毒物装载优化研究。以大亚湾核电厂堆芯第10循环为例,利用遗传算法对硼玻璃、Gd2O3和IFBA三种常用的可燃毒物进行了优化计算。结果表明,遗传算法对反应堆堆芯可燃毒物装载优化问题是有效的,IFBA可燃毒物的优化结果最好。最后应用由遗传算法和禁忌搜索算法混合而成的杂交优化策略进行了优化计算,该方法可大大提高优化速度。
Genetic algorithms (GA) and tabu search (TS) algorithm are applied to optimize the burnable absorber fuel loading problem for nuclear power plant reactor. The tenth-cycle of Daya-Bay Nuclear Power Station is taken as the example, and three general kinds of burnable absorber, i.e., boron, Gd2O3 and IFBA, are optimized using GA separately. Calculation results demonstrate that GA is effective for optimizing the burnable absorber loading and the IFBA works the best for PWR. Finally a hybrid optimization method that combined with GA and TS is used. The initial optimized results of GA are taken as the initial point of TS searching. This method saves much calculation time.
出处
《核动力工程》
EI
CAS
CSCD
北大核心
2005年第3期214-218,共5页
Nuclear Power Engineering
关键词
遗传算法
禁忌搜索算法
可燃毒物
装载优化
Calculations
Genetic algorithms
Optimization
Pressurized water reactors
