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MLGSA: Multi-­Leader Gravitational Search Algorithm for Multi­Objective Optimization Problem

Recently, we have introduced Multi-Leader Particle Swarm Optimization (MLPSO) algorithm for multi-objective optimization problem. Better convergence and diversity have been observed over the conventional Multi-Objective Particle Swarm Optimization. In this paper, the same concept is extended to Grav...

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Main Authors: Mohd Riduwan, Ghazali, Khairul Hamimah, Abas, Badaruddin, Muhammad, Nor Azlina, Ab. Aziz, Kian, Sheng Lim
Format: Conference or Workshop Item
Language:English
English
Published: International Information Institute 2017
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/12015/2/Multi-Leader%20Gravitational%20Search%20Algorithm%20For%20Multi-Objective%20Optimization%20Problem.pdf
http://umpir.ump.edu.my/id/eprint/12015/13/Multi-Leader%20Gravitational%20Search%20Algorithm%20For%20Multi-Objective%20Optimization%20Problem.pdf
http://umpir.ump.edu.my/id/eprint/12015/
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spelling my.ump.umpir.120152018-10-15T07:24:11Z http://umpir.ump.edu.my/id/eprint/12015/ MLGSA: Multi-­Leader Gravitational Search Algorithm for Multi­Objective Optimization Problem Mohd Riduwan, Ghazali Khairul Hamimah, Abas Badaruddin, Muhammad Nor Azlina, Ab. Aziz Kian, Sheng Lim TK Electrical engineering. Electronics Nuclear engineering Recently, we have introduced Multi-Leader Particle Swarm Optimization (MLPSO) algorithm for multi-objective optimization problem. Better convergence and diversity have been observed over the conventional Multi-Objective Particle Swarm Optimization. In this paper, the same concept is extended 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. International Information Institute 2017 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/12015/2/Multi-Leader%20Gravitational%20Search%20Algorithm%20For%20Multi-Objective%20Optimization%20Problem.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/12015/13/Multi-Leader%20Gravitational%20Search%20Algorithm%20For%20Multi-Objective%20Optimization%20Problem.pdf Mohd Riduwan, Ghazali and Khairul Hamimah, Abas and Badaruddin, Muhammad and Nor Azlina, Ab. Aziz and Kian, Sheng Lim (2017) MLGSA: Multi-­Leader Gravitational Search Algorithm for Multi­Objective Optimization Problem. In: International Conference on Information in Business and Technology Management (I2BM 2016), 26-28 January 2016 , Melaka, Malaysia. pp. 1-6.. ISSN 1343-4500 (print); 1344-8994 (online)
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mohd Riduwan, Ghazali
Khairul Hamimah, Abas
Badaruddin, Muhammad
Nor Azlina, Ab. Aziz
Kian, Sheng Lim
MLGSA: Multi-­Leader Gravitational Search Algorithm for Multi­Objective Optimization Problem
description Recently, we have introduced Multi-Leader Particle Swarm Optimization (MLPSO) algorithm for multi-objective optimization problem. Better convergence and diversity have been observed over the conventional Multi-Objective Particle Swarm Optimization. In this paper, the same concept is extended 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 Mohd Riduwan, Ghazali
Khairul Hamimah, Abas
Badaruddin, Muhammad
Nor Azlina, Ab. Aziz
Kian, Sheng Lim
author_facet Mohd Riduwan, Ghazali
Khairul Hamimah, Abas
Badaruddin, Muhammad
Nor Azlina, Ab. Aziz
Kian, Sheng Lim
author_sort Mohd Riduwan, Ghazali
title MLGSA: Multi-­Leader Gravitational Search Algorithm for Multi­Objective Optimization Problem
title_short MLGSA: Multi-­Leader Gravitational Search Algorithm for Multi­Objective Optimization Problem
title_full MLGSA: Multi-­Leader Gravitational Search Algorithm for Multi­Objective Optimization Problem
title_fullStr MLGSA: Multi-­Leader Gravitational Search Algorithm for Multi­Objective Optimization Problem
title_full_unstemmed MLGSA: Multi-­Leader Gravitational Search Algorithm for Multi­Objective Optimization Problem
title_sort mlgsa: multi-­leader gravitational search algorithm for multi­objective optimization problem
publisher International Information Institute
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/12015/2/Multi-Leader%20Gravitational%20Search%20Algorithm%20For%20Multi-Objective%20Optimization%20Problem.pdf
http://umpir.ump.edu.my/id/eprint/12015/13/Multi-Leader%20Gravitational%20Search%20Algorithm%20For%20Multi-Objective%20Optimization%20Problem.pdf
http://umpir.ump.edu.my/id/eprint/12015/
_version_ 1643666794584473600
score 13.211869

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