Vector Evaluated Gravitational Search Algorithm Assisted by Non-dominated Solutions in Solving Multiobjective Optimization Problems

Previously, non-dominated solutions have been employed to improve the performance of particle swarm optimization (PSO). In this paper, we re-implement the same concept to gravitational search algorithm (GSA). The performance is investigated by solving a set of ZDT test problem. An analysis also is p...

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Main Authors:	Badaruddin, Muhammad, Khairul Hamimah, Abas, Mohd Riduwan, Ghazali
Format:	Conference or Workshop Item
Language:	English
Published:	Universiti Malaysia Pahang 2016
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/15520/ http://umpir.ump.edu.my/id/eprint/15520/ http://umpir.ump.edu.my/id/eprint/15520/1/P128%20pg961-966.pdf

id	ump-15520
recordtype	eprints
spelling	ump-155202017-08-23T02:13:48Z http://umpir.ump.edu.my/id/eprint/15520/ Vector Evaluated Gravitational Search Algorithm Assisted by Non-dominated Solutions in Solving Multiobjective Optimization Problems Badaruddin, Muhammad Khairul Hamimah, Abas Mohd Riduwan, Ghazali TK Electrical engineering. Electronics Nuclear engineering Previously, non-dominated solutions have been employed to improve the performance of particle swarm optimization (PSO). In this paper, we re-implement the same concept to gravitational search algorithm (GSA). The performance is investigated by solving a set of ZDT test problem. An analysis also is performed by varying the value of initial gravitational constant. Universiti Malaysia Pahang 2016 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/15520/1/P128%20pg961-966.pdf Badaruddin, Muhammad and Khairul Hamimah, Abas and Mohd Riduwan, Ghazali (2016) Vector Evaluated Gravitational Search Algorithm Assisted by Non-dominated Solutions in Solving Multiobjective Optimization Problems. In: Proceedings of The National Conference for Postgraduate Research (NCON-PGR 2016), 24-25 September 2016 , Universiti Malaysia Pahang (UMP), Pekan, Pahang. pp. 961-966.. http://ee.ump.edu.my/ncon/wp-content/uploads/2016/10/Proceeding-NCON-PGR-2016.zip
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 Badaruddin, Muhammad Khairul Hamimah, Abas Mohd Riduwan, Ghazali Vector Evaluated Gravitational Search Algorithm Assisted by Non-dominated Solutions in Solving Multiobjective Optimization Problems
description	Previously, non-dominated solutions have been employed to improve the performance of particle swarm optimization (PSO). In this paper, we re-implement the same concept to gravitational search algorithm (GSA). The performance is investigated by solving a set of ZDT test problem. An analysis also is performed by varying the value of initial gravitational constant.
format	Conference or Workshop Item
author	Badaruddin, Muhammad Khairul Hamimah, Abas Mohd Riduwan, Ghazali
author_facet	Badaruddin, Muhammad Khairul Hamimah, Abas Mohd Riduwan, Ghazali
author_sort	Badaruddin, Muhammad
title	Vector Evaluated Gravitational Search Algorithm Assisted by Non-dominated Solutions in Solving Multiobjective Optimization Problems
title_short	Vector Evaluated Gravitational Search Algorithm Assisted by Non-dominated Solutions in Solving Multiobjective Optimization Problems
title_full	Vector Evaluated Gravitational Search Algorithm Assisted by Non-dominated Solutions in Solving Multiobjective Optimization Problems
title_fullStr	Vector Evaluated Gravitational Search Algorithm Assisted by Non-dominated Solutions in Solving Multiobjective Optimization Problems
title_full_unstemmed	Vector Evaluated Gravitational Search Algorithm Assisted by Non-dominated Solutions in Solving Multiobjective Optimization Problems
title_sort	vector evaluated gravitational search algorithm assisted by non-dominated solutions in solving multiobjective optimization problems
publisher	Universiti Malaysia Pahang
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/15520/ http://umpir.ump.edu.my/id/eprint/15520/ http://umpir.ump.edu.my/id/eprint/15520/1/P128%20pg961-966.pdf
first_indexed	2023-09-18T22:20:16Z
last_indexed	2023-09-18T22:20:16Z
_version_	1777415609444728832

Vector Evaluated Gravitational Search Algorithm Assisted by Non-dominated Solutions in Solving Multiobjective Optimization Problems

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