Citation
Ab Aziz, Nor Azlina (2014) Performance evaluation of vector evaluated gravitational search algorithm II. International Journal of Simulation Systems, Science & Technology, 15 (1). pp. 1-6. ISSN 1473-804x
Text
Performance evaluation of vector evaluated gravitational search algorithm II.pdf Restricted to Repository staff only Download (3MB) |
Official URL: http://ijssst.info/Vol-15/No-1/cover-15-1.htm
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: | Article |
---|---|
Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Faculty of Engineering and Technology (FET) |
Depositing User: | Ms Nurul Iqtiani Ahmad |
Date Deposited: | 13 Apr 2015 06:56 |
Last Modified: | 13 Apr 2015 06:56 |
URII: | http://shdl.mmu.edu.my/id/eprint/6175 |
Downloads
Downloads per month over past year
Edit (login required) |