Low-leakage loading pattern optimization for PWR NPP reload core using genetic algorithms

被引：0

作者：

Xian, Chun-Yu ^{[1
]}

Zuo, Jie ^{[1
]}

Yu, Zhong-Hua ^{[1
]}

机构：

[1] Nucl. Power Inst. of China, Chengdu 610041, China

来源：

Hedongli Gongcheng/Nuclear Power Engineering | 2002年 / 23卷 / SUPPL.期

关键词：

Computer simulation - Genetic algorithms - Nuclear power plants - Optimization;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The existing PWR NPP reload core loading pattern optimization techniques and their features are introduced briefly. System framework based on genetic algorithms for PWR NPP low-leakage reload core loading pattern search technique is established. The multi-chromosome encoding and decoding, fitness function, genetic operation and decoding techniques for the study are designed. The developed optimal program using C language and its test results show that the technique is feasible and effective. Application results demonstrated that the optimized reload loading pattern for reload core can be obtained by using this system.

引用

页码：12 / 16