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oaioai:ojs2.ijritcc.com:article/4134

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

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Publication date
30 April 2015
Publisher
Auricle Global Society of Education and Research
Doi

    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/ijritcc2321-8169.16041

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    International Journal on Recent and Innovation Trends in Computing and Communication

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    Last time updated on 20/10/2022

    This paper was published in International Journal on Recent and Innovation Trends in Computing and Communication.

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