期刊名称：International Journal of Computer Technology and Applications
电子版ISSN：2229-6093
出版年度：2011
卷号：2
期号：6
页码：1848-1853
出版社：Technopark Publications
摘要：This paper is being presented on Multiple Features Subset Selection Using Meta-heuristic Function. Classification problems require selection of a subset of attributes or features from a much larger dataset to represent the patterns to be classified. Many excellent multiple feature selection method such as Hill Climbing (HC), Simulated Annealing (SA), Genetic Algorithms (GAs), Tabu Search (TS) has been prevalent amongst research community. However, these approaches still encounter when the multiple feature of dataset is available and it need to choose those attribute which is best amongst the available features
