Zuwairie, Ibrahim and Badaruddin, Muhammad and Kamarul Hawari, Ghazali and Lim, Kian Sheng and Sophan Wahyudi, Nawawi and Zulkifli, Md. Yusof (2012) Vector Evaluated Gravitational Search Algorithm (VEGSA) for multi-objective optimization problems. In: IEEE 4th International Conference on Computational Intelligence, Modelling and Simulation (CIMSim 2012) , 25-27 September 2012 , Kuantan, Pahang Darul Makmur. pp. 13-17.. ISBN 978-1-4673-3113-5
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Abstract
This paper presents a novel algorithm, which is based on Gravitational Search Algorithm (GSA), for multiobjective optimization problems. The proposed algorithm, which is called Vector Evaluated Gravitational Search Algorithm (VEGSA), uses a number of populations of particles. In particular, a population of particles corresponds to one objective function to be minimized or maximized. Simultaneous minimization or maximization of every objective function is realized by exchanging a variable between populations. Two versions of VEGSA algorithm are presented in this study. Convex and non-convex test functions on biobjective optimization problems are used to evaluate the effectiveness of the proposed VEGSA.
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | multi-objective optimization; VEGSA |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 22 Mar 2020 23:02 |
| Last Modified: | 22 Mar 2020 23:02 |
| URI: | http://umpir.ump.edu.my/id/eprint/26988 |
| Download Statistic: | View Download Statistics |
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