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:
Online Access:http://umpir.ump.edu.my/id/eprint/15520/
http://umpir.ump.edu.my/id/eprint/15520/1/P128%20pg961-966.pdf
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author Badaruddin, Muhammad
Khairul Hamimah, Abas
Mohd Riduwan, Ghazali
author_facet Badaruddin, Muhammad
Khairul Hamimah, Abas
Mohd Riduwan, Ghazali
author_sort Badaruddin, Muhammad
building UMP Institutional Repository
collection Online Access
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.
first_indexed 2025-11-15T02:02:05Z
format Conference or Workshop Item
id ump-15520
institution Universiti Malaysia Pahang
institution_category Local University
language English
last_indexed 2025-11-15T02:02:05Z
publishDate 2016
publisher Universiti Malaysia Pahang
recordtype eprints
repository_type Digital Repository
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.. (Published) http://ee.ump.edu.my/ncon/wp-content/uploads/2016/10/Proceeding-NCON-PGR-2016.zip
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
title 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_short 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
topic TK Electrical engineering. Electronics Nuclear engineering
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