Pressurized water reactor reloading optimization using genetic algorithms

被引：25
|
作者：
Wu, HC [1 ]
机构：
[1] Xian Jiao Tong Univ, Dept Nucl Engn, Xian 710049, Shaanxi, Peoples R China
来源：
ANNALS OF NUCLEAR ENERGY | 2001年 / 28卷 / 13期
关键词：
D O I：
10.1016/S0306-4549(00)00122-5
中图分类号：
TL [原子能技术]; O571 [原子核物理学];
学科分类号：
0827 ; 082701 ;
摘要：
The application of genetic algorithms (GAs) to pressurized water reactor (PWR) reloading pattern optimization is described. Standard bit-based genetic operators are used to optimize the arrangement of assemblies, burnable absorber, and burnt assembly orientations. The developed system has a modular structure. The GAs operators, reactor physics code, constraint conditions and objective function are all flexible. Test examples illustrating the effectiveness and flexibility of this system are presented and optimization results are discussed. (C) 2001 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：1329 / 1341
页数：13
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