Performance evaluation of vector evaluated gravitational search algorithms based on ZDT test functions

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

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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
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 10 Sep 2014 08:04
Last Modified: 25 Mar 2015 09:26
URI: http://shdl.mmu.edu.my/id/eprint/5723

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