Performance Evaluation of Vector Evaluated Gravitational Search Algorithms Based on ZDT Test Functions

This paper presents a performance evaluation of Vector Evaluated Gravitational Search Algorithm (VEGSA), namely VEGSA-I and VEGSA-II algorithms, for multi-objective optimization problems. The VEGSA algorithms use a number of populations of particles. In particular, a population of particles correspo...

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Main Authors:	Badaruddin, Muhammad, Zuwairie, Ibrahim, Kamarul Hawari, Ghazali, Mohd Riduwan, Ghazali, Kian, Sheng Lim, Sophan Wahyudi, Nawawi, Nor Azlina, Ab. Aziz, Marizan, Mubin, Norrima, Mokhtar
Format:	Article
Language:	English
Published:	United Kingdom Simulation Society 2014
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/6625/ http://umpir.ump.edu.my/id/eprint/6625/ http://umpir.ump.edu.my/id/eprint/6625/1/fkee-2014-badarudin-Performance_Evaluation.pdf

id	ump-6625
recordtype	eprints
spelling	ump-66252018-02-08T03:45:14Z http://umpir.ump.edu.my/id/eprint/6625/ Performance Evaluation of Vector Evaluated Gravitational Search Algorithms Based on ZDT Test Functions Badaruddin, Muhammad Zuwairie, Ibrahim Kamarul Hawari, Ghazali Mohd Riduwan, Ghazali Kian, Sheng Lim Sophan Wahyudi, Nawawi Nor Azlina, Ab. Aziz Marizan, Mubin Norrima, Mokhtar TA Engineering (General). Civil engineering (General) This paper presents a performance evaluation of Vector Evaluated Gravitational Search Algorithm (VEGSA), namely VEGSA-I and VEGSA-II algorithms, for multi-objective optimization problems. The VEGSA algorithms use a number of populations of particles. In particular, a population of particles corresponds to one objective function to be minimized or maximized. Simultaneous minimization or maximization of every objective function is realized by exchanging a variable between populations. Performance evaluation is done based on ZDT test functions, which is a common benchmark problem for multiobjective optimization. The results shows that both VEGSA algorithms are outperformed by other multi-objective optimization algorithms and further enhancements are needed before it can be employed in any application. United Kingdom Simulation Society 2014 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6625/1/fkee-2014-badarudin-Performance_Evaluation.pdf Badaruddin, Muhammad and Zuwairie, Ibrahim and Kamarul Hawari, Ghazali and Mohd Riduwan, Ghazali and Kian, Sheng Lim and Sophan Wahyudi, Nawawi and Nor Azlina, Ab. Aziz and Marizan, Mubin and Norrima, Mokhtar (2014) Performance Evaluation of Vector Evaluated Gravitational Search Algorithms Based on ZDT Test Functions. International Journal of Simulation: Systems, Science & Technology (IJSSST), 15 (1). pp. 1-6. ISSN 1473-8031 (print); 1473-804x (online) http://ijssst.info/Vol-15/No-1/paper1.pdf
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TA Engineering (General). Civil engineering (General)
spellingShingle	TA Engineering (General). Civil engineering (General) Badaruddin, Muhammad Zuwairie, Ibrahim Kamarul Hawari, Ghazali Mohd Riduwan, Ghazali Kian, Sheng Lim Sophan Wahyudi, Nawawi Nor Azlina, Ab. Aziz Marizan, Mubin Norrima, Mokhtar Performance Evaluation of Vector Evaluated Gravitational Search Algorithms Based on ZDT Test Functions
description	This paper presents a performance evaluation of Vector Evaluated Gravitational Search Algorithm (VEGSA), namely VEGSA-I and VEGSA-II algorithms, for multi-objective optimization problems. The VEGSA algorithms use a number of populations of particles. In particular, a population of particles corresponds to one objective function to be minimized or maximized. Simultaneous minimization or maximization of every objective function is realized by exchanging a variable between populations. Performance evaluation is done based on ZDT test functions, which is a common benchmark problem for multiobjective optimization. The results shows that both VEGSA algorithms are outperformed by other multi-objective optimization algorithms and further enhancements are needed before it can be employed in any application.
format	Article
author	Badaruddin, Muhammad Zuwairie, Ibrahim Kamarul Hawari, Ghazali Mohd Riduwan, Ghazali Kian, Sheng Lim Sophan Wahyudi, Nawawi Nor Azlina, Ab. Aziz Marizan, Mubin Norrima, Mokhtar
author_facet	Badaruddin, Muhammad Zuwairie, Ibrahim Kamarul Hawari, Ghazali Mohd Riduwan, Ghazali Kian, Sheng Lim Sophan Wahyudi, Nawawi Nor Azlina, Ab. Aziz Marizan, Mubin Norrima, Mokhtar
author_sort	Badaruddin, Muhammad
title	Performance Evaluation of Vector Evaluated Gravitational Search Algorithms Based on ZDT Test Functions
title_short	Performance Evaluation of Vector Evaluated Gravitational Search Algorithms Based on ZDT Test Functions
title_full	Performance Evaluation of Vector Evaluated Gravitational Search Algorithms Based on ZDT Test Functions
title_fullStr	Performance Evaluation of Vector Evaluated Gravitational Search Algorithms Based on ZDT Test Functions
title_full_unstemmed	Performance Evaluation of Vector Evaluated Gravitational Search Algorithms Based on ZDT Test Functions
title_sort	performance evaluation of vector evaluated gravitational search algorithms based on zdt test functions
publisher	United Kingdom Simulation Society
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/6625/ http://umpir.ump.edu.my/id/eprint/6625/ http://umpir.ump.edu.my/id/eprint/6625/1/fkee-2014-badarudin-Performance_Evaluation.pdf
first_indexed	2023-09-18T22:02:34Z
last_indexed	2023-09-18T22:02:34Z
_version_	1777414496084557824

Performance Evaluation of Vector Evaluated Gravitational Search Algorithms Based on ZDT Test Functions

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