Muhammad, B. and Ibrahim, Z. and Ghazali, K.H. and Ghazali, M.R. and Mubin, M. and Mokhtar, M. (2014) Performance evaluation of vector evaluated gravitational search algorithm II. In: 13th International Conference on Intelligent Software Methodologies, Tools, and Techniques, 22-24 Sep 2014, Langkawi, Malaysia.
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Abstract
This paper presents a performance evaluation of a novel Vector Evaluated Gravitational Search Algorithm II (VEGSAII) for multi-objective optimization problems. The VEGSAII 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 shows 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: | Conference or Workshop Item (Paper) |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | Gravitational search algorithm, optimization, vector evaluated |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Faculty of Engineering |
| Depositing User: | Mr. Mohd Samsul Ismail |
| Date Deposited: | 23 Mar 2015 01:00 |
| Last Modified: | 23 Mar 2015 01:00 |
| URI: | http://eprints.um.edu.my/id/eprint/13034 |
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