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PSO-LFDE Algorithm on Constrained Real-Parameter Optimisation Test Functions

This paper introduces a new version of the particle swarm optimisation (PSO) algorithm particle swarm optimisation with Lévy Flight and the Doppler Effect (PSO-LFDE), maintaining an optimal balance between the exploration and exploitation phases of the optimisation process. The proposed algorithm wi...

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Main Authors: Nafrizuan, Mat Yahya, Nur Iffah, Mohamed Azmi
Format: Conference or Workshop Item
Language:English
English
Published: Springer Singapore 2023
Subjects:
TA Engineering (General). Civil engineering (General)
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/38856/1/PSO-LFDE%20Algorithm%20on%20Constrained%20Real-Parameter.pdf
http://umpir.ump.edu.my/id/eprint/38856/2/PSO-LFDE%20Algorithm%20on%20Constrained%20Real-Parameter%20Optimisation%20Test%20Functions.pdf
http://umpir.ump.edu.my/id/eprint/38856/
https://doi.org/10.1007/978-981-99-1245-2_52
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spelling my.ump.umpir.388562023-10-12T02:42:45Z http://umpir.ump.edu.my/id/eprint/38856/ PSO-LFDE Algorithm on Constrained Real-Parameter Optimisation Test Functions Nafrizuan, Mat Yahya Nur Iffah, Mohamed Azmi TA Engineering (General). Civil engineering (General) TS Manufactures This paper introduces a new version of the particle swarm optimisation (PSO) algorithm particle swarm optimisation with Lévy Flight and the Doppler Effect (PSO-LFDE), maintaining an optimal balance between the exploration and exploitation phases of the optimisation process. The proposed algorithm will hold a better exploration–exploitation equilibrium if the contributions of convergence and diversity and global and individual bests in attracting particles are maintained in balance. The proposed PSO-LFDE algorithm is compared with the PSO algorithm by Gaing on single-objective constrained real-parameter optimisation test functions. The results indicated that the PSO-LFDE has achieved competitive results on the single-objective constrained real-parameter optimisation test functions as compared to PSO algorithm by Gaing. Thus, the PSO-LFDE is validated as a stable, well-designed algorithm and can be a functional alternative approach to deal with various single-objective constrained real-parameter optimisation problems. Springer Singapore 2023 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/38856/1/PSO-LFDE%20Algorithm%20on%20Constrained%20Real-Parameter.pdf pdf en http://umpir.ump.edu.my/id/eprint/38856/2/PSO-LFDE%20Algorithm%20on%20Constrained%20Real-Parameter%20Optimisation%20Test%20Functions.pdf Nafrizuan, Mat Yahya and Nur Iffah, Mohamed Azmi (2023) PSO-LFDE Algorithm on Constrained Real-Parameter Optimisation Test Functions. In: International Manufacturing Engineering Conference & The Asia Pacific Conference on Manufacturing Systems, 27-28 October 2022 , Surakarta, Indonesia. pp. 559-568.. ISSN 2195-4356 ISBN 978-981-99-1244-5 https://doi.org/10.1007/978-981-99-1245-2_52
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic TA Engineering (General). Civil engineering (General)
TS Manufactures
spellingShingle TA Engineering (General). Civil engineering (General)
TS Manufactures
Nafrizuan, Mat Yahya
Nur Iffah, Mohamed Azmi
PSO-LFDE Algorithm on Constrained Real-Parameter Optimisation Test Functions
description This paper introduces a new version of the particle swarm optimisation (PSO) algorithm particle swarm optimisation with Lévy Flight and the Doppler Effect (PSO-LFDE), maintaining an optimal balance between the exploration and exploitation phases of the optimisation process. The proposed algorithm will hold a better exploration–exploitation equilibrium if the contributions of convergence and diversity and global and individual bests in attracting particles are maintained in balance. The proposed PSO-LFDE algorithm is compared with the PSO algorithm by Gaing on single-objective constrained real-parameter optimisation test functions. The results indicated that the PSO-LFDE has achieved competitive results on the single-objective constrained real-parameter optimisation test functions as compared to PSO algorithm by Gaing. Thus, the PSO-LFDE is validated as a stable, well-designed algorithm and can be a functional alternative approach to deal with various single-objective constrained real-parameter optimisation problems.
format Conference or Workshop Item
author Nafrizuan, Mat Yahya
Nur Iffah, Mohamed Azmi
author_facet Nafrizuan, Mat Yahya
Nur Iffah, Mohamed Azmi
author_sort Nafrizuan, Mat Yahya
title PSO-LFDE Algorithm on Constrained Real-Parameter Optimisation Test Functions
title_short PSO-LFDE Algorithm on Constrained Real-Parameter Optimisation Test Functions
title_full PSO-LFDE Algorithm on Constrained Real-Parameter Optimisation Test Functions
title_fullStr PSO-LFDE Algorithm on Constrained Real-Parameter Optimisation Test Functions
title_full_unstemmed PSO-LFDE Algorithm on Constrained Real-Parameter Optimisation Test Functions
title_sort pso-lfde algorithm on constrained real-parameter optimisation test functions
publisher Springer Singapore
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/38856/1/PSO-LFDE%20Algorithm%20on%20Constrained%20Real-Parameter.pdf
http://umpir.ump.edu.my/id/eprint/38856/2/PSO-LFDE%20Algorithm%20on%20Constrained%20Real-Parameter%20Optimisation%20Test%20Functions.pdf
http://umpir.ump.edu.my/id/eprint/38856/
https://doi.org/10.1007/978-981-99-1245-2_52
_version_ 1822923765916368896
score 13.235362

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