A Review of Particle Swarm Optimization: Feature Selection, Classification and Hybridizations

Abstract

Particle swarm optimization (PSO) is a recently grown, popular, evolutionary and conceptually simple but efficient algorithm which belongs to swarm intelligence category. This paper outlines basic concepts and reviews PSO based techniques with their applications to classification and feature selection along with some of the hybridized applications of PSO with similar other techniques.
DOI: 10.17762/ijritcc2321-8169.160418