遗传算法及其应用于堆芯换料优化问题的特性研究  

Study on Characteristics of Genetic Algorithms and Its Application to Optimize Reloading Pattern Problem

作　　者：王丽华[1] 吴宏春[1] 李冬生[2] 

机构地区：[1]西安交通大学,西安710049 [2]中国核动力研究设计院,成都610041

出　　处：《核动力工程》2003年第2期122-126,共5页Nuclear Power Engineering

基　　金：获国家自然科学基金资助(19901026)

摘　　要：首先对遗传算法的可操作性、全局最优性、通用性及稳健性等特性进行了验证。然后针对核反应堆堆芯换料优化这一具体问题,就遗传算法的个体规模数、二进制字节数、杂交概率及变异概率等参数对解的收敛性和收敛速度的影响进行了分析。最后以先进核反应堆为例确定了遗传算法在这一具体堆芯优化计算中的优选参数值。The operability, overall optimization, generalization and stabilization of genetic algorithms are verified firstly. Pointing at the specific problems of reloading pattern of nuclear reactor core, the analysis has been performed for the affect of the parameters of genetic algorithms, such as the population size, the number of chromosomes, the crossover probability and the mutation probability on the convergence and convergence rate of the solutions. At last, taking the advanced nuclear reactor as the example, the optimum seeking parameters that applied to the calculation of specific reactor core by genetic algorithms are identified.

关 键 词：遗传算法 核反应堆 换料 优化 

分 类 号：TL329.2[核科学技术—核技术及应用]