原子能科学技术2013，Vol.47Issue(7)：1212-1216,5.DOI:10.7538/yzk.2013.47.07.1212
映射交叉遗传算法在核动力设备优化设计中的应用
Application of Mapping Crossover Genetic Algorithm in Nuclear Power Equipment Optimization Design
摘要
Abstract
Genetic algorithm (GA) has been widely applied in nuclear engineering.An improved method,named the mapping crossover genetic algorithm (MCGA),was developed aiming at improving the shortcomings of traditional genetic algorithm (TGA).The optimal results of benchmark problems show that MCGA has better optimizing performance than TGA.MCGA was applied to the reactor coolant pump optimization design.关键词
映射交叉遗传算法/核动力设备/优化设计Key words
mapping crossover genetic algorithm/ nuclear power equipment/ optimization design分类
机械制造引用本文复制引用
李贵敬,阎昌琪,王建军,刘成洋..映射交叉遗传算法在核动力设备优化设计中的应用[J].原子能科学技术,2013,47(7):1212-1216,5.基金项目
哈尔滨引进人才基金资助项目(002150260705) （002150260705）
