An Improved VEPSO Algorithm for Multi-objective Optimisation Problems

Multi-objective optimisation problem is the problem which contains more than one objective that needs to be solved simultaneously. The vector evaluated particle swarm optimisation algorithm is widely used for such purpose, where this algorithm optimised one objective using one swarm of particles by...

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Main Authors:	Kamarul Hawari, Ghazali, Zuwairie, Ibrahim, Faradila, Naim, Kian, Sheng Lim, Salinda, Buyamin, Anita, Ahmad, Sophan Wahyudi, Nawawi, Norrima, Mokhtar
Format:	Book Section
Language:	English
Published:	Springer 2015
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/8798/ http://umpir.ump.edu.my/id/eprint/8798/ http://umpir.ump.edu.my/id/eprint/8798/ http://umpir.ump.edu.my/id/eprint/8798/1/fkee-2015-hawari-Improved%20VEPSO-bk%20chpter.pdf

id	ump-8798
recordtype	eprints
spelling	ump-87982018-02-08T01:40:04Z http://umpir.ump.edu.my/id/eprint/8798/ An Improved VEPSO Algorithm for Multi-objective Optimisation Problems Kamarul Hawari, Ghazali Zuwairie, Ibrahim Faradila, Naim Kian, Sheng Lim Salinda, Buyamin Anita, Ahmad Sophan Wahyudi, Nawawi Norrima, Mokhtar TK Electrical engineering. Electronics Nuclear engineering Multi-objective optimisation problem is the problem which contains more than one objective that needs to be solved simultaneously. The vector evaluated particle swarm optimisation algorithm is widely used for such purpose, where this algorithm optimised one objective using one swarm of particles by the guidance from the best solution found by another swarm. However, this best solution is only updated when a solution is better with respect to the optimised objective and results in poor performance. Therefore, the vector evaluated particle swarm optimisation algorithm is improved by incorporating the non-dominated solutions for guiding the particle movement during optimisation. The performance of the improved algorithm is analysed with several performance measures and simulated on various test functions. The results suggest that the improved algorithm outperformed the performance of the original algorithm. Springer 2015 Book Section PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8798/1/fkee-2015-hawari-Improved%20VEPSO-bk%20chpter.pdf Kamarul Hawari, Ghazali and Zuwairie, Ibrahim and Faradila, Naim and Kian, Sheng Lim and Salinda, Buyamin and Anita, Ahmad and Sophan Wahyudi, Nawawi and Norrima, Mokhtar (2015) An Improved VEPSO Algorithm for Multi-objective Optimisation Problems. In: The Malaysia-Japan Model on Technology Partnership. Springer, Japan, pp. 253-263. ISBN 978-4-431-54438-8 (print); 978-4-431-54439-5 (online) http://dx.doi.org/10.1007/978-4-431-54439-5_24 DOI: 10.1007/978-4-431-54439-5_24
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Kamarul Hawari, Ghazali Zuwairie, Ibrahim Faradila, Naim Kian, Sheng Lim Salinda, Buyamin Anita, Ahmad Sophan Wahyudi, Nawawi Norrima, Mokhtar An Improved VEPSO Algorithm for Multi-objective Optimisation Problems
description	Multi-objective optimisation problem is the problem which contains more than one objective that needs to be solved simultaneously. The vector evaluated particle swarm optimisation algorithm is widely used for such purpose, where this algorithm optimised one objective using one swarm of particles by the guidance from the best solution found by another swarm. However, this best solution is only updated when a solution is better with respect to the optimised objective and results in poor performance. Therefore, the vector evaluated particle swarm optimisation algorithm is improved by incorporating the non-dominated solutions for guiding the particle movement during optimisation. The performance of the improved algorithm is analysed with several performance measures and simulated on various test functions. The results suggest that the improved algorithm outperformed the performance of the original algorithm.
format	Book Section
author	Kamarul Hawari, Ghazali Zuwairie, Ibrahim Faradila, Naim Kian, Sheng Lim Salinda, Buyamin Anita, Ahmad Sophan Wahyudi, Nawawi Norrima, Mokhtar
author_facet	Kamarul Hawari, Ghazali Zuwairie, Ibrahim Faradila, Naim Kian, Sheng Lim Salinda, Buyamin Anita, Ahmad Sophan Wahyudi, Nawawi Norrima, Mokhtar
author_sort	Kamarul Hawari, Ghazali
title	An Improved VEPSO Algorithm for Multi-objective Optimisation Problems
title_short	An Improved VEPSO Algorithm for Multi-objective Optimisation Problems
title_full	An Improved VEPSO Algorithm for Multi-objective Optimisation Problems
title_fullStr	An Improved VEPSO Algorithm for Multi-objective Optimisation Problems
title_full_unstemmed	An Improved VEPSO Algorithm for Multi-objective Optimisation Problems
title_sort	improved vepso algorithm for multi-objective optimisation problems
publisher	Springer
publishDate	2015
url	http://umpir.ump.edu.my/id/eprint/8798/ http://umpir.ump.edu.my/id/eprint/8798/ http://umpir.ump.edu.my/id/eprint/8798/ http://umpir.ump.edu.my/id/eprint/8798/1/fkee-2015-hawari-Improved%20VEPSO-bk%20chpter.pdf
first_indexed	2023-09-18T22:06:46Z
last_indexed	2023-09-18T22:06:46Z
_version_	1777414760086634496

An Improved VEPSO Algorithm for Multi-objective Optimisation Problems

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