期刊名称：Advanced Computing : an International Journal
印刷版ISSN：2229-726X
电子版ISSN：2229-6727
出版年度：2012
卷号：3
期号：1
DOI：10.5121/acij.2012.3110
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：A Multiclass classifier is an approach for designing classifiers for a m-class (m>=2) problem using genetic programming (GP). In this paper we proposed three methods named Triple Tournament Method, Special Mutation Method and a Step Wise Crossover method. In Special Mutation technique we are generating the two child from single parent and selecting the one child on the basis of fitness and also applying the elitism on the child so that the mutation operation does not reduce the fitness of the individual and in Stepwise Crossover we select the two child for the next generation on the basis of size, depth and fitness along with elitism on each step from the six child which is generated during crossover. To demonstrate our approach we have designed a Multiclass Classifier using GP by taking few benchmark datasets. The results obtained show that by applying Stepwise crossover together with Special Mutation improves the performance of the classifier. In Triple Tournament Method, we select the two individual for the crossover operation on the basis of size, depth and fitness
关键词：Elitism;Triple Tournament; Special Mutation; Stepwise Crossover.
