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:
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
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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
collection UMP
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.
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spelling UMPir120152018-10-15T07:24:11Z 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) (Published)
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
title 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_short MLGSA: Multi-­Leader Gravitational Search Algorithm for Multi­Objective Optimization Problem
title_sort mlgsa multi leader gravitational search algorithm for multi objective optimization problem
topic TK Electrical engineering. Electronics Nuclear engineering
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
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