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:en
Published: Universiti Malaysia Pahang 2016
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Online Access:http://umpir.ump.edu.my/id/eprint/15520/1/P128%20pg961-966.pdf
http://umpir.ump.edu.my/id/eprint/15520/
http://ee.ump.edu.my/ncon/wp-content/uploads/2016/10/Proceeding-NCON-PGR-2016.zip
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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 UMPSA Library
collection Institutional Repository
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
continent Asia
country Malaysia
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
id my.ump.umpir.15520
institution Universiti Malaysia Pahang
language en
publishDate 2016
publisher Universiti Malaysia Pahang
record_format eprints
spelling my.ump.umpir.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/15520/1/P128%20pg961-966.pdf
http://umpir.ump.edu.my/id/eprint/15520/
http://ee.ump.edu.my/ncon/wp-content/uploads/2016/10/Proceeding-NCON-PGR-2016.zip
url_provider http://umpir.ump.edu.my/