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Reseach Article

Particle Swarm Optimization: A Study of Variants and Their Applications

by Ashok Kumar, Brajesh Kumar Singh, B. D. K. Patro
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 135 - Number 5
Year of Publication: 2016
Authors: Ashok Kumar, Brajesh Kumar Singh, B. D. K. Patro
10.5120/ijca2016908406

Ashok Kumar, Brajesh Kumar Singh, B. D. K. Patro . Particle Swarm Optimization: A Study of Variants and Their Applications. International Journal of Computer Applications. 135, 5 ( February 2016), 24-30. DOI=10.5120/ijca2016908406

@article{ 10.5120/ijca2016908406,
author = { Ashok Kumar, Brajesh Kumar Singh, B. D. K. Patro },
title = { Particle Swarm Optimization: A Study of Variants and Their Applications },
journal = { International Journal of Computer Applications },
issue_date = { February 2016 },
volume = { 135 },
number = { 5 },
month = { February },
year = { 2016 },
issn = { 0975-8887 },
pages = { 24-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume135/number5/24047-2016908406/ },
doi = { 10.5120/ijca2016908406 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:35:47.855137+05:30
%A Ashok Kumar
%A Brajesh Kumar Singh
%A B. D. K. Patro
%T Particle Swarm Optimization: A Study of Variants and Their Applications
%J International Journal of Computer Applications
%@ 0975-8887
%V 135
%N 5
%P 24-30
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In order to improve the performance of PSO algorithm, number of its variants has been made. This paper presents detail overview of the basic concepts of PSO and its variants. Many variants of PSO have been developed due to improved speed of convergence and quality of solution found by Researchers. The Applications of PSO in Complex Environments is discussed. Modifications, both those already developed, and promising future application areas are reviewed. Observation and review of 117 related studies in the period between 1995 and 2015 on different variants of PSO algorithms are discussed along with their advantages and disadvantages.

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Index Terms

Computer Science
Information Sciences

Keywords

Particle Swarm Optimization (PSO) Basic PSO Modification PSO Bird Flocking Evolutionary Optimization Biologically Inspired Computational Search.