Citation
Ab Aziz, Nor Azlina (2014) Performance evaluation of vector evaluated gravitational search algorithms based on ZDT test functions. International Journal of Simulation: Systems, Science and Technology, 15 (1). pp. 1-6. ISSN 1473-804x
Text
Performance evaluation of vector evaluated gravitational search algorithms based on ZDT test functions.pdf Restricted to Repository staff only Download (3MB) |
Abstract
This paper presents a performance evaluation of Vector Evaluated Gravitational Search Algorithm (VEGSA), namely VEGSA-I and VEGSA-II algorithms, for multi-objective optimization problems. The VEGSA algorithms use 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. Performance evaluation is done based on ZDT test functions, which is a common benchmark problem for multi-objective optimization. The results shows that both VEGSA algorithms are outperformed by other multi-objective optimization algorithms and further enhancements are needed before it can be employed in any application.
Item Type: | Article |
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Uncontrolled Keywords: | Algorithms |
Subjects: | Q Science > QA Mathematics > QA1-43 General |
Divisions: | Faculty of Engineering and Technology (FET) |
Depositing User: | Ms Nurul Iqtiani Ahmad |
Date Deposited: | 10 Sep 2014 08:04 |
Last Modified: | 19 Aug 2021 06:03 |
URII: | http://shdl.mmu.edu.my/id/eprint/5723 |
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