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特征统计算法(CSA)在堆芯装料方案优化中的应用
引用本文:刘志宏,胡永明,施工.特征统计算法(CSA)在堆芯装料方案优化中的应用[J].核动力工程,2007,28(2):1-4,18.
作者姓名:刘志宏  胡永明  施工
作者单位:1. 清华大学核能与新能源技术研究院,北京,100084
2. 清华大学工程物理系,北京,100084
摘    要:针对压水堆堆芯装料优化问题的特殊性,采用了一种更适合于全局优化算法--特征统计算法来求解.本文阐述了该算法的搜索原理以及如何将其应用于堆芯装料优化问题;编制了装料优化程序SCYCLE,应用该程序在2个不同类型的实际堆芯模型上进行了计算,并与其它算法的计算结果进行了比较.结果表明,SCYCLE程序在求解装料优化问题方面具有很高的搜索效率和很好的全局性.

关 键 词:特征统计算法(CSA)  优化  装料方案
文章编号:0258-0926(2007)02-0001-05
修稿时间:2006-01-112006-05-16

Characteristic Statistic Algorithm (CSA) for In-Core Loading Pattern Optimization
LIU Zhi-hong,HU Yong-ming,SHI Gong.Characteristic Statistic Algorithm (CSA) for In-Core Loading Pattern Optimization[J].Nuclear Power Engineering,2007,28(2):1-4,18.
Authors:LIU Zhi-hong  HU Yong-ming  SHI Gong
Affiliation:1. Institute of Nuclear Energy Technology, Tsinghua University, Beijing, 100084, China; 2. Department of Engineering Physics, Tsinghua University, Beijing, 100084, China
Abstract:To solve the problem of PWR in-core loading pattern optimization,a more suitable global optimization algorithm,i.e.,Characteristic statistic algorithm(CSA),is used.The searching process of this algorithm and how to apply it to this problem are presented.Loading pattern optimization code SCYCLE is developed.Two different problems on real PWR models are calculated and the results are compared with other algorithms.It is shown that SCYCLE has high efficiency and good global performance on this problem.
Keywords:Characteristic Statistic algorithm(CSA)  Optimization  Loading Pattern
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