期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
卷号：4
期号：5
页码：2762
DOI：10.15680/IJIRSET.2015.0405015
出版社：S&S Publications
摘要：Evolutionary Algorithms are based on some influential principles like Survival of the Fittest and withsome natural phenomena in Genetic Inheritance. The key for searching the solution in improved function optimizationproblems are based only on Selection and Mutation operators. In this paper a Selection algorithm for data set is chosenso as to identify the survival of the fittest and also the simple K means clustering algorithm is analyzed on differentdata sets to check for the performance of the K – means on different data set which gives best accuracy to identify thebest solution.
关键词：Evolutionary Programming; Function Optimization; Genetic Algorithm K-means clustering
