A Review of Swarm Intelligence-Based Feature Selection Methods and Its Application

SI or swarm intelligence is considered to be one of the sound computational intelligence which deals with finding solutions for the issue related to optimization problem. The feature set is optimized by utilizing the feature selection technique, which reduces the number of features by eliminating those that are not essential or redundant. This improves the classification accuracy. This paper studies to examine the optimization/selection of significant features which is the most challenging part and it reduces the performance of algorithm time, complexity of calculations. It gives an overview of optimization techniques and their applications.