期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2013
卷号：4
期号：6-3
出版社：Seventh Sense Research Group
摘要：Recently evolutionary optimization techniques put a greater impact on the ongoing research field over microarray gene expression dataset. Finding the gene subset of microarray data is a big issue which will help in reducing the time complexity as well as gives relevant chromosome subset that helps in solving many classical as well as NPhard problem. In this research, an efficient clustering technique has been used to finds the chromosome subset. Here two clustering technique i.e kmeans clustering and hierarchical clustering techniques are used to have the clusters upon which two evolutionary algorithm i.e an efficient genetic algorithm (GA) and memetic algorithm (MA) has been applied. This produces the result in terms of new offspring for next generation and check whether the produced gene subset is best suited for next generation or not. The accuracy can be measured for the subset of gene expression data.
