Optimization of advanced gas-cooled reactor fuel performance

被引：0

作者：

Parks, G.T. ^{[1
]}

机构：

[1] Univ of Cambridge, United Kingdom

来源：

Nuclear Engineer | 1988年 / 29卷 / 05期

关键词：

Computer Programming--Algorithms - Optimization;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

A brief description is given of a model representing the in-core behavior of a single Advance Gas-Cooled Reactor (AGR) fuel stringer, developed specifically for fuel performance optimization studies. The difficulties encountered in tackling such a problem using standard library packages are outlined and the performance of the only sitable NAG routine is compared with that of a specially written Metropolis ('Simulated Annealing') algorithm program. It is concluded that in this application the stochastic Metropolis algorithm has several distinct advantages over the deterministic NAG routine.

引用

页码：167 / 170