International Journal of Electrical, Electronics and Computer Engineering (IJEECE)
In this paper, the authors proposed on multiple feature subset selection using meta-heuristic function are being presented. Classification problems needs selection of a subset of attributes or features from a more enormous dataset to represents the patterns to be classified. Various splendid different feature selection technique such as Hill Climbing (HC), Genetic Algorithms (GAs), Simulated Annealing (SA), Tabu Search (TS) has been frequent amongst research group. Although, these things still confront when the various feature of dataset is accessible and they need to choose those attribute which is best amongst the accessible features.