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...
Main Authors: | , , , , |
---|---|
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 |
_version_ | 1825822726403653632 |
---|---|
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. |
first_indexed | 2024-03-06T12:00:54Z |
format | Conference or Workshop Item |
id | UMPir12015 |
institution | Universiti Malaysia Pahang |
language | English English |
last_indexed | 2024-03-06T12:00:54Z |
publishDate | 2017 |
publisher | International Information Institute |
record_format | dspace |
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 |
work_keys_str_mv | AT mohdriduwanghazali mlgsamultileadergravitationalsearchalgorithmformultiobjectiveoptimizationproblem AT khairulhamimahabas mlgsamultileadergravitationalsearchalgorithmformultiobjectiveoptimizationproblem AT badaruddinmuhammad mlgsamultileadergravitationalsearchalgorithmformultiobjectiveoptimizationproblem AT norazlinaabaziz mlgsamultileadergravitationalsearchalgorithmformultiobjectiveoptimizationproblem AT kianshenglim mlgsamultileadergravitationalsearchalgorithmformultiobjectiveoptimizationproblem |