International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 135 - Issue 5 |
Published: February 2016 |
Authors: Ashok Kumar, Brajesh Kumar Singh, B. D. K. Patro |
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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 }, year = { 2016 }, volume = { 135 }, number = { 5 }, pages = { 24-30 }, doi = { 10.5120/ijca2016908406 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2016 %A Ashok Kumar %A Brajesh Kumar Singh %A B. D. K. Patro %T Particle Swarm Optimization: A Study of Variants and Their Applications%T %J International Journal of Computer Applications %V 135 %N 5 %P 24-30 %R 10.5120/ijca2016908406 %I Foundation of Computer Science (FCS), NY, USA
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.