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Performance and Diversity of Gravitational Search Algorithm

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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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.

Item Type: Conference or Workshop Item (Lecture)
Additional Information: 2nd International symposium, ISAAC 2014 in conjunction with ICACT 2014
Uncontrolled Keywords: Gravitational search algorithm (GSA); optimization
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 28 Jul 2016 02:28
Last Modified: 08 Feb 2018 02:52
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