期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：54
期号：1
出版社：Journal of Theoretical and Applied
摘要：Classification is the process of finding a model or a function that describes and distinguishes data classes and concepts, for the purpose of being able to use the model to predict the classes of objects whose class label is not known. The process of data analysis becomes time consuming and tedious as volume of data increases. So to make the process of data classification faster, soft computing techniques have been applied. Great deal of work has been done in the area of classification using evolutionary techniques. This survey gives an insight into the work done on classification using genetic algorithms and genetic programming and their applications in different problems and areas.
关键词：Classification; Genetic algorithm; Genetic programming; Fitness function
