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正交试验遗传算法及其在函数优化中的应用
引用本文:丁承民,张传生,刘贵忠.正交试验遗传算法及其在函数优化中的应用[J].系统工程与电子技术,1997(10).
作者姓名:丁承民  张传生  刘贵忠
作者单位:西安交通大学电子与信息工程学院
摘    要:针对遗传算法参数多且配置困难的问题,本文提出一种利用正交试验优化选择参数的方法,它使得对于不同领域的优化问题只需用正交试验进行一次参数配置,然后用遗传算法进行具体寻优即可取得较好效果。这种正交试验遗传算法易于编程实现且在一定程度上避免了遗传算法参数配置的盲目性。

关 键 词:算法,正交试验,优化,+参数配置

Orthogonal Experimental Genetic Algorithms and Its Application in Function Optimization
Ding Chengmin,Zhang Chuansheng and Liu Guizhong School of Electrical Engineering,Xi'an Jiaotong University.Orthogonal Experimental Genetic Algorithms and Its Application in Function Optimization[J].System Engineering and Electronics,1997(10).
Authors:Ding Chengmin  Zhang Chuansheng and Liu Guizhong School of Electrical Engineering  Xi'an Jiaotong University
Institution:Ding Chengmin,Zhang Chuansheng and Liu Guizhong School of Electrical Engineering,Xi'an Jiaotong University,710049
Abstract:The configuration of control parameters in traditional genetic algorithms has long been a difficult problem.This paper presents the use of orthogonal experimental method in the configuration of GA's parameters.It is an independent domain compared with other GA's improvement method.In addition, this orthogonal experimental genetic algorithms is easy to implement and overcome the blindness in GA's parameter configuration in a certain degree.
Keywords:Genetic algorithms  Orthogonal experimental method  Control parameter  Configuration    
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