Empirical Study of Segment Particle Swarm Optimization and Particle Swarm Optimization Algorithms

In this paper, the performance of segment particle swarm optimization (Se-PSO) algorithm was compared with that of original particle swarm optimization (PSO) algorithm. Four different benchmark functions of Sphere, Rosenbrock, Rastrigin, and Griewank with asymmetric initial range settings (upper and...

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Main Authors:	Azrag, M. A. K., Tuty Asmawaty, Abdul Kadir
Format:	Article
Language:	English
Published:	The Science and Information (SAI) Organization Limited 2019
Subjects:	QA Mathematics
Online Access:	http://umpir.ump.edu.my/id/eprint/26313/ http://umpir.ump.edu.my/id/eprint/26313/ http://umpir.ump.edu.my/id/eprint/26313/ http://umpir.ump.edu.my/id/eprint/26313/1/Empirical%20Study%20of%20Segment%20Particle.pdf

id	ump-26313
recordtype	eprints
spelling	ump-263132019-11-04T05:36:02Z http://umpir.ump.edu.my/id/eprint/26313/ Empirical Study of Segment Particle Swarm Optimization and Particle Swarm Optimization Algorithms Azrag, M. A. K. Tuty Asmawaty, Abdul Kadir QA Mathematics In this paper, the performance of segment particle swarm optimization (Se-PSO) algorithm was compared with that of original particle swarm optimization (PSO) algorithm. Four different benchmark functions of Sphere, Rosenbrock, Rastrigin, and Griewank with asymmetric initial range settings (upper and lower boundaries values) were selected as the test functions. The experimental results showed that, the Se-PSO algorithm achieved better results in terms of faster convergences in all the testing cases compared to the original PSO algorithm. However, the experimental results further showed the Se-PSO as a promising optimization algorithm method in some other different fields. The Science and Information (SAI) Organization Limited 2019 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/26313/1/Empirical%20Study%20of%20Segment%20Particle.pdf Azrag, M. A. K. and Tuty Asmawaty, Abdul Kadir (2019) Empirical Study of Segment Particle Swarm Optimization and Particle Swarm Optimization Algorithms. International Journal of Advanced Computer Science and Applications (IJACSA), 10 (8). pp. 480-485. ISSN 2156-5570(Online) https://dx.doi.org/10.14569/IJACSA.2019.0100862 https://dx.doi.org/10.14569/IJACSA.2019.0100862
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA Mathematics
spellingShingle	QA Mathematics Azrag, M. A. K. Tuty Asmawaty, Abdul Kadir Empirical Study of Segment Particle Swarm Optimization and Particle Swarm Optimization Algorithms
description	In this paper, the performance of segment particle swarm optimization (Se-PSO) algorithm was compared with that of original particle swarm optimization (PSO) algorithm. Four different benchmark functions of Sphere, Rosenbrock, Rastrigin, and Griewank with asymmetric initial range settings (upper and lower boundaries values) were selected as the test functions. The experimental results showed that, the Se-PSO algorithm achieved better results in terms of faster convergences in all the testing cases compared to the original PSO algorithm. However, the experimental results further showed the Se-PSO as a promising optimization algorithm method in some other different fields.
format	Article
author	Azrag, M. A. K. Tuty Asmawaty, Abdul Kadir
author_facet	Azrag, M. A. K. Tuty Asmawaty, Abdul Kadir
author_sort	Azrag, M. A. K.
title	Empirical Study of Segment Particle Swarm Optimization and Particle Swarm Optimization Algorithms
title_short	Empirical Study of Segment Particle Swarm Optimization and Particle Swarm Optimization Algorithms
title_full	Empirical Study of Segment Particle Swarm Optimization and Particle Swarm Optimization Algorithms
title_fullStr	Empirical Study of Segment Particle Swarm Optimization and Particle Swarm Optimization Algorithms
title_full_unstemmed	Empirical Study of Segment Particle Swarm Optimization and Particle Swarm Optimization Algorithms
title_sort	empirical study of segment particle swarm optimization and particle swarm optimization algorithms
publisher	The Science and Information (SAI) Organization Limited
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/26313/ http://umpir.ump.edu.my/id/eprint/26313/ http://umpir.ump.edu.my/id/eprint/26313/ http://umpir.ump.edu.my/id/eprint/26313/1/Empirical%20Study%20of%20Segment%20Particle.pdf
first_indexed	2023-09-18T22:40:53Z
last_indexed	2023-09-18T22:40:53Z
_version_	1777416906954768384

Empirical Study of Segment Particle Swarm Optimization and Particle Swarm Optimization Algorithms

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