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:
Online Access:http://umpir.ump.edu.my/id/eprint/26313/
http://umpir.ump.edu.my/id/eprint/26313/1/Empirical%20Study%20of%20Segment%20Particle.pdf
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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.
building UMP Institutional Repository
collection Online Access
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.
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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). (Published) https://dx.doi.org/10.14569/IJACSA.2019.0100862 https://dx.doi.org/10.14569/IJACSA.2019.0100862
spellingShingle QA Mathematics
Azrag, M. A. K.
Tuty Asmawaty, Abdul Kadir
Empirical Study of Segment Particle Swarm Optimization and Particle Swarm Optimization Algorithms
title 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_short 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
topic QA Mathematics
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