Vector Evaluated Gravitational Search Algorithm (VEGSA) for multi-objective optimization problems
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 popula...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2012
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/26988/1/Vector%20Evaluated%20Gravitational%20Search%20Algorithm%20%28VEGSA%29%20.pdf |
| _version_ | 1825813082264305664 |
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| author | Zuwairie, Ibrahim Badaruddin, Muhammad Kamarul Hawari, Ghazali Lim, Kian Sheng Sophan Wahyudi, Nawawi Zulkifli, Md. Yusof |
| author_facet | Zuwairie, Ibrahim Badaruddin, Muhammad Kamarul Hawari, Ghazali Lim, Kian Sheng Sophan Wahyudi, Nawawi Zulkifli, Md. Yusof |
| author_sort | Zuwairie, Ibrahim |
| collection | UMP |
| description | 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. |
| first_indexed | 2024-03-06T12:38:44Z |
| format | Conference or Workshop Item |
| id | UMPir26988 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:38:44Z |
| publishDate | 2012 |
| publisher | IEEE |
| record_format | dspace |
| spelling | UMPir269882020-03-22T23:02:29Z http://umpir.ump.edu.my/id/eprint/26988/ Vector Evaluated Gravitational Search Algorithm (VEGSA) for multi-objective optimization problems Zuwairie, Ibrahim Badaruddin, Muhammad Kamarul Hawari, Ghazali Lim, Kian Sheng Sophan Wahyudi, Nawawi Zulkifli, Md. Yusof TK Electrical engineering. Electronics Nuclear engineering 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. IEEE 2012 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26988/1/Vector%20Evaluated%20Gravitational%20Search%20Algorithm%20%28VEGSA%29%20.pdf 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 (Published) https://doi.org/10.1109/CIMSim.2012.29 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Zuwairie, Ibrahim Badaruddin, Muhammad Kamarul Hawari, Ghazali Lim, Kian Sheng Sophan Wahyudi, Nawawi Zulkifli, Md. Yusof Vector Evaluated Gravitational Search Algorithm (VEGSA) for multi-objective optimization problems |
| title | Vector Evaluated Gravitational Search Algorithm (VEGSA) for multi-objective optimization problems |
| title_full | Vector Evaluated Gravitational Search Algorithm (VEGSA) for multi-objective optimization problems |
| title_fullStr | Vector Evaluated Gravitational Search Algorithm (VEGSA) for multi-objective optimization problems |
| title_full_unstemmed | Vector Evaluated Gravitational Search Algorithm (VEGSA) for multi-objective optimization problems |
| title_short | Vector Evaluated Gravitational Search Algorithm (VEGSA) for multi-objective optimization problems |
| title_sort | vector evaluated gravitational search algorithm vegsa for multi objective optimization problems |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/26988/1/Vector%20Evaluated%20Gravitational%20Search%20Algorithm%20%28VEGSA%29%20.pdf |
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