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A New Hierarchical Structure for Combining Different Versions of PSO

by Mahdi Roshanzamir, Nasser Mozayani, Mohamad Roshanzamir
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 85 - Number 16
Year of Publication: 2014
Authors: Mahdi Roshanzamir, Nasser Mozayani, Mohamad Roshanzamir
10.5120/14928-3487

Mahdi Roshanzamir, Nasser Mozayani, Mohamad Roshanzamir . A New Hierarchical Structure for Combining Different Versions of PSO. International Journal of Computer Applications. 85, 16 ( January 2014), 53-60. DOI=10.5120/14928-3487

@article{ 10.5120/14928-3487,
author = { Mahdi Roshanzamir, Nasser Mozayani, Mohamad Roshanzamir },
title = { A New Hierarchical Structure for Combining Different Versions of PSO },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 85 },
number = { 16 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 53-60 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume85/number16/14928-3487/ },
doi = { 10.5120/14928-3487 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:02:39.992681+05:30
%A Mahdi Roshanzamir
%A Nasser Mozayani
%A Mohamad Roshanzamir
%T A New Hierarchical Structure for Combining Different Versions of PSO
%J International Journal of Computer Applications
%@ 0975-8887
%V 85
%N 16
%P 53-60
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Particle swarm optimization is a population-based algorithm and used for optimization in a wide range of problems. In this article, a method that is called Hybrid Particle Swarm Optimization or HPSO is proposed. It is composed of some versions of particle swarm optimization algorithms, which have subgroups in their structures. They are DMS-PSO, PS2OS and MCPSO. In fact, a hierarchical structure is used to compose a new version of optimization algorithm and combine the results of other structures of PSO. Proposed structure has been tested on four unimodal and four multimodal test functions. Although the memory usage has no difference with other compared versions, it is much faster in many cases. Also the rank of fitness values, are good and suitable in all test functions. In addition, it is possible to execute it concurrently.

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Index Terms

Computer Science
Information Sciences

Keywords

Particle Swarm Optimization Hierarchical Structure

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