Intelligent Feature Selection Methods: A Survey

Consider feature selection is the main in intelligent algorithms and machine learning to select subset of data help acquire optimal solution. Feature used an extract relevance discarding irrelevance with increment fast it reduce dimensional dataset. In past, traditional methods, but these methods are slow accuracy. modern times, however, uses Genetic algorithm swarm optimization Ant colony, Bees Cuckoo search, Particle optimization, fish algorithm, cat ...etc. because fast, high accuracy easy use user. this paper survey Some method: (GA). It done take related work for each ideas, dataset results after that was compare result table among better discuses discussion why better. Finally, who advantage disadvantage selection.