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
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

Downloads

Edit (login required)