Convergence and Diversity Evaluation for Vector Evaluated Particle Swarm Optimization

Multi-objective optimization can be commonly found in many real world problems. In computational intelligence, Particle Swarm Optimization (PSO) algorithm has increasing popularity in solving optimization problems. An extended PSO algorithm called Vector Evaluated Particle Swarm Optimization (VEPSO)...

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Main Authors:	Mohd Zaidi, Mohd Tumari, Zuwairie, Ibrahim, Ismail, Ibrahim, Mohd Falfazli, Mat Jusof, Faradila, Naim, Kamarul Hawari, Ghazali, Lim, Kian Sheng, Salinda, Buyamin, Anita, Ahmad
Format:	Conference or Workshop Item
Language:	English
Published:	2013
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/5676/ http://umpir.ump.edu.my/id/eprint/5676/1/Paper_ICMIC_Published_Zaidi.pdf

id	ump-5676
recordtype	eprints
spelling	ump-56762018-02-21T01:48:02Z http://umpir.ump.edu.my/id/eprint/5676/ Convergence and Diversity Evaluation for Vector Evaluated Particle Swarm Optimization Mohd Zaidi, Mohd Tumari Zuwairie, Ibrahim Ismail, Ibrahim Mohd Falfazli, Mat Jusof Faradila, Naim Kamarul Hawari, Ghazali Lim, Kian Sheng Salinda, Buyamin Anita, Ahmad TK Electrical engineering. Electronics Nuclear engineering Multi-objective optimization can be commonly found in many real world problems. In computational intelligence, Particle Swarm Optimization (PSO) algorithm has increasing popularity in solving optimization problems. An extended PSO algorithm called Vector Evaluated Particle Swarm Optimization (VEPSO) has been introduced to solve multi-objective optimization problems. However, VEPSO quantitative performance measure has not been investigated. Hence, in this study, the performance of VEPSO algorithm is investigated by measuring the convergence and diversity by using standard test functions. In addition, comparisons with other optimization algorithms are also conducted. The results show that the VEPSO algorithm performs weakly in solving problems with concave, mixed, and disconnected Pareto frontier and performs badly in solving multi-modal problems. 2013 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/5676/1/Paper_ICMIC_Published_Zaidi.pdf Mohd Zaidi, Mohd Tumari and Zuwairie, Ibrahim and Ismail, Ibrahim and Mohd Falfazli, Mat Jusof and Faradila, Naim and Kamarul Hawari, Ghazali and Lim, Kian Sheng and Salinda, Buyamin and Anita, Ahmad (2013) Convergence and Diversity Evaluation for Vector Evaluated Particle Swarm Optimization. In: International Conference of Modelling Identification and Control (ICMIC2013), 31 August - 2 September 2013 , Cairo, Egypt. pp. 280-285..
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 Mohd Zaidi, Mohd Tumari Zuwairie, Ibrahim Ismail, Ibrahim Mohd Falfazli, Mat Jusof Faradila, Naim Kamarul Hawari, Ghazali Lim, Kian Sheng Salinda, Buyamin Anita, Ahmad Convergence and Diversity Evaluation for Vector Evaluated Particle Swarm Optimization
description	Multi-objective optimization can be commonly found in many real world problems. In computational intelligence, Particle Swarm Optimization (PSO) algorithm has increasing popularity in solving optimization problems. An extended PSO algorithm called Vector Evaluated Particle Swarm Optimization (VEPSO) has been introduced to solve multi-objective optimization problems. However, VEPSO quantitative performance measure has not been investigated. Hence, in this study, the performance of VEPSO algorithm is investigated by measuring the convergence and diversity by using standard test functions. In addition, comparisons with other optimization algorithms are also conducted. The results show that the VEPSO algorithm performs weakly in solving problems with concave, mixed, and disconnected Pareto frontier and performs badly in solving multi-modal problems.
format	Conference or Workshop Item
author	Mohd Zaidi, Mohd Tumari Zuwairie, Ibrahim Ismail, Ibrahim Mohd Falfazli, Mat Jusof Faradila, Naim Kamarul Hawari, Ghazali Lim, Kian Sheng Salinda, Buyamin Anita, Ahmad
author_facet	Mohd Zaidi, Mohd Tumari Zuwairie, Ibrahim Ismail, Ibrahim Mohd Falfazli, Mat Jusof Faradila, Naim Kamarul Hawari, Ghazali Lim, Kian Sheng Salinda, Buyamin Anita, Ahmad
author_sort	Mohd Zaidi, Mohd Tumari
title	Convergence and Diversity Evaluation for Vector Evaluated Particle Swarm Optimization
title_short	Convergence and Diversity Evaluation for Vector Evaluated Particle Swarm Optimization
title_full	Convergence and Diversity Evaluation for Vector Evaluated Particle Swarm Optimization
title_fullStr	Convergence and Diversity Evaluation for Vector Evaluated Particle Swarm Optimization
title_full_unstemmed	Convergence and Diversity Evaluation for Vector Evaluated Particle Swarm Optimization
title_sort	convergence and diversity evaluation for vector evaluated particle swarm optimization
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/5676/ http://umpir.ump.edu.my/id/eprint/5676/1/Paper_ICMIC_Published_Zaidi.pdf
first_indexed	2023-09-18T22:01:03Z
last_indexed	2023-09-18T22:01:03Z
_version_	1777414400718667776

Convergence and Diversity Evaluation for Vector Evaluated Particle Swarm Optimization

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