Muhammad, B. and Ibrahim, Z. and Ghazali, K. H. and Ghazali, M. R. and Lim, K. S. and Nawawi, S. W. and Rahim, M. A. A. and Aziz, N. A. A. and Mubin, M. and Mokhtar, N. (2015) Performance evaluation of vector evaluated gravitational search algorithm. Icic Express Letters, 9 (3). pp. 649-654. ISSN 1881-803X
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Abstract
This paper presents a performance evaluation of a Vector Evaluated Gravitational Search Algorithm (VEGSA) for multi-objective optimization problems. The VEGSA algorithm 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. The results show that the VEGSA is outperformed by other multi-objective optimization algorithms and further enhancements are needed before it can be employed in any application.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | multi-objective, optimization, vector evaluated gravitational search algorithm |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Electrical Engineering |
| ID Code: | 58791 |
| Deposited By: | Haliza Zainal |
| Deposited On: | 04 Dec 2016 04:07 |
| Last Modified: | 03 Nov 2021 07:22 |
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