Performance and Diversity of Gravitational Search Algorithm
GSA is a physic inspired optimization algorithm. It is based on how bodies in the universe are attracted to each other by gravitational force between them. The performance of GSA is studied here using benchmark functions. The diversity of the search agents of GSA is also studied. The findings show t...
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ump-83132018-02-08T02:52:14Z http://umpir.ump.edu.my/id/eprint/8313/ Performance and Diversity of Gravitational Search Algorithm Nor Azlina, Ab. Aziz Marizan, Mubin Zuwairie, Ibrahim Sophan Wahyudi, Nawawi TK Electrical engineering. Electronics Nuclear engineering GSA is a physic inspired optimization algorithm. It is based on how bodies in the universe are attracted to each other by gravitational force between them. The performance of GSA is studied here using benchmark functions. The diversity of the search agents of GSA is also studied. The findings show that research on improvement of GSA algorithm are needed, specifically in improving the search agents’ diversity. The Institute of Internet, Broadcasting and Communication 2014 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/8313/1/Performance_and_Diversity_of_Gravitational_Search_Algorithm.pdf Nor Azlina, Ab. Aziz and Marizan, Mubin and Zuwairie, Ibrahim and Sophan Wahyudi, Nawawi (2014) Performance and Diversity of Gravitational Search Algorithm. In: Proceedings of Advanced and Applied Convergence Letters (AACL 03), 13-16 November 2014 , Jeju Island, Korea. pp. 232-235.. ISSN 2288-6060 |
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Online Access |
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English |
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TK Electrical engineering. Electronics Nuclear engineering |
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TK Electrical engineering. Electronics Nuclear engineering Nor Azlina, Ab. Aziz Marizan, Mubin Zuwairie, Ibrahim Sophan Wahyudi, Nawawi Performance and Diversity of Gravitational Search Algorithm |
description |
GSA is a physic inspired optimization algorithm. It is based on how bodies in the universe are attracted to each other by gravitational force between them. The performance of GSA is studied here using benchmark functions. The diversity of the search agents of GSA is also studied. The findings show that research on improvement of GSA algorithm are needed, specifically in improving the search agents’ diversity. |
format |
Conference or Workshop Item |
author |
Nor Azlina, Ab. Aziz Marizan, Mubin Zuwairie, Ibrahim Sophan Wahyudi, Nawawi |
author_facet |
Nor Azlina, Ab. Aziz Marizan, Mubin Zuwairie, Ibrahim Sophan Wahyudi, Nawawi |
author_sort |
Nor Azlina, Ab. Aziz |
title |
Performance and Diversity of Gravitational Search Algorithm |
title_short |
Performance and Diversity of Gravitational Search Algorithm |
title_full |
Performance and Diversity of Gravitational Search Algorithm |
title_fullStr |
Performance and Diversity of Gravitational Search Algorithm |
title_full_unstemmed |
Performance and Diversity of Gravitational Search Algorithm |
title_sort |
performance and diversity of gravitational search algorithm |
publisher |
The Institute of Internet, Broadcasting and Communication |
publishDate |
2014 |
url |
http://umpir.ump.edu.my/id/eprint/8313/ http://umpir.ump.edu.my/id/eprint/8313/1/Performance_and_Diversity_of_Gravitational_Search_Algorithm.pdf |
first_indexed |
2023-09-18T22:05:45Z |
last_indexed |
2023-09-18T22:05:45Z |
_version_ |
1777414695876034560 |