Performance evaluation of vector evaluated gravitational search algorithm II

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

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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: 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
URI: http://shdl.mmu.edu.my/id/eprint/6175

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