Improving Vector Evaluated Particle Swarm Optimisation by Incorporating Nondominated Solutions

The Vector Evaluated Particle Swarm Optimisation algorithm is widely used to solve multiobjective optimisation problems. This algorithm optimises one objective using a swarm of particles where their movements are guided by the best solution found by another swarm. However, the best solution of a swa...

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Main Authors:	Kian, Sheng Lim, Zuwairie, Ibrahim, Salinda, Buyamin, Anita, Ahmad, Faradila, Naim, Kamarul Hawari, Ghazali, Norrima, Mokhtar
Format:	Article
Language:	English
Published:	Hindawi Publishing Corporation 2013
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/6528/ http://umpir.ump.edu.my/id/eprint/6528/ http://umpir.ump.edu.my/id/eprint/6528/ http://umpir.ump.edu.my/id/eprint/6528/1/Improving_Vector_Evaluated_Particle_Swarm_Optimisation_by_Incorporating_Nondominated_Solutions.pdf

id	ump-6528
recordtype	eprints
spelling	ump-65282018-02-08T02:28:28Z http://umpir.ump.edu.my/id/eprint/6528/ Improving Vector Evaluated Particle Swarm Optimisation by Incorporating Nondominated Solutions Kian, Sheng Lim Zuwairie, Ibrahim Salinda, Buyamin Anita, Ahmad Faradila, Naim Kamarul Hawari, Ghazali Norrima, Mokhtar TK Electrical engineering. Electronics Nuclear engineering The Vector Evaluated Particle Swarm Optimisation algorithm is widely used to solve multiobjective optimisation problems. This algorithm optimises one objective using a swarm of particles where their movements are guided by the best solution found by another swarm. However, the best solution of a swarm is only updated when a newly generated solution has better fitness than the best solution at the objective function optimised by that swarm, yielding poor solutions for the multiobjective optimisation problems. Thus, an improved Vector Evaluated Particle Swarm Optimisation algorithm is introduced by incorporating the nondominated solutions as the guidance for a swarm rather than using the best solution from another swarm. In this paper, the performance of improved Vector Evaluated Particle Swarm Optimisation algorithm is investigated using performance measures such as the number of nondominated solutions found, the generational distance, the spread, and the hypervolume. The results suggest that the improved Vector Evaluated Particle Swarm Optimisation algorithm has impressive performance compared with the conventional Vector Evaluated Particle Swarm Optimisation algorithm. Hindawi Publishing Corporation 2013 Article PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/6528/1/Improving_Vector_Evaluated_Particle_Swarm_Optimisation_by_Incorporating_Nondominated_Solutions.pdf Kian, Sheng Lim and Zuwairie, Ibrahim and Salinda, Buyamin and Anita, Ahmad and Faradila, Naim and Kamarul Hawari, Ghazali and Norrima, Mokhtar (2013) Improving Vector Evaluated Particle Swarm Optimisation by Incorporating Nondominated Solutions. The Scientific World Journal, 2013. pp. 1-19. ISSN 2356-6140 (print); 1537-744X (online) http://dx.doi.org/10.1155/2013/510763 DOI: 10.1155/2013/510763
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 Kian, Sheng Lim Zuwairie, Ibrahim Salinda, Buyamin Anita, Ahmad Faradila, Naim Kamarul Hawari, Ghazali Norrima, Mokhtar Improving Vector Evaluated Particle Swarm Optimisation by Incorporating Nondominated Solutions
description	The Vector Evaluated Particle Swarm Optimisation algorithm is widely used to solve multiobjective optimisation problems. This algorithm optimises one objective using a swarm of particles where their movements are guided by the best solution found by another swarm. However, the best solution of a swarm is only updated when a newly generated solution has better fitness than the best solution at the objective function optimised by that swarm, yielding poor solutions for the multiobjective optimisation problems. Thus, an improved Vector Evaluated Particle Swarm Optimisation algorithm is introduced by incorporating the nondominated solutions as the guidance for a swarm rather than using the best solution from another swarm. In this paper, the performance of improved Vector Evaluated Particle Swarm Optimisation algorithm is investigated using performance measures such as the number of nondominated solutions found, the generational distance, the spread, and the hypervolume. The results suggest that the improved Vector Evaluated Particle Swarm Optimisation algorithm has impressive performance compared with the conventional Vector Evaluated Particle Swarm Optimisation algorithm.
format	Article
author	Kian, Sheng Lim Zuwairie, Ibrahim Salinda, Buyamin Anita, Ahmad Faradila, Naim Kamarul Hawari, Ghazali Norrima, Mokhtar
author_facet	Kian, Sheng Lim Zuwairie, Ibrahim Salinda, Buyamin Anita, Ahmad Faradila, Naim Kamarul Hawari, Ghazali Norrima, Mokhtar
author_sort	Kian, Sheng Lim
title	Improving Vector Evaluated Particle Swarm Optimisation by Incorporating Nondominated Solutions
title_short	Improving Vector Evaluated Particle Swarm Optimisation by Incorporating Nondominated Solutions
title_full	Improving Vector Evaluated Particle Swarm Optimisation by Incorporating Nondominated Solutions
title_fullStr	Improving Vector Evaluated Particle Swarm Optimisation by Incorporating Nondominated Solutions
title_full_unstemmed	Improving Vector Evaluated Particle Swarm Optimisation by Incorporating Nondominated Solutions
title_sort	improving vector evaluated particle swarm optimisation by incorporating nondominated solutions
publisher	Hindawi Publishing Corporation
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/6528/ http://umpir.ump.edu.my/id/eprint/6528/ http://umpir.ump.edu.my/id/eprint/6528/ http://umpir.ump.edu.my/id/eprint/6528/1/Improving_Vector_Evaluated_Particle_Swarm_Optimisation_by_Incorporating_Nondominated_Solutions.pdf
first_indexed	2023-09-18T22:02:22Z
last_indexed	2023-09-18T22:02:22Z
_version_	1777414483014057984

Improving Vector Evaluated Particle Swarm Optimisation by Incorporating Nondominated Solutions

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