关键词: 遗传算法, 特征选择, 信息熵, 冷轧带钢, 表面缺陷

Abstract: As variety of surface defect types of cold rolled strips，it is very impendent to find a group of optimized feature set among original feature set extracted from surface defects，which can express essence characters of defects more effectively and improve defect recognition rate.For this problem，genetic algorithm is researched here for the application to defect feature selection on the basis of fully research of theory of information entropy，and average net classification information is used as a fitness function of genetic algorithm to make up for the shortage of using mutual information entropy as fitness function of genetic algorithm.Experiments show that using optimized feature by genetic algorithm to classify surface defects of cold rolled strips，a higher accurate recognition rate can be achieved.

Key words: genetic algorithm, feature selection, information entropy, cold rolled strip, surface defects