Performance evaluation of vector evaluated gravitational search algorithm II

Muhammad, B. and Ibrahim, Z. and Ghazali, K.H. and Ghazali, M.R. and Mubin, M. and Mokhtar, M. (2014) Performance evaluation of vector evaluated gravitational search algorithm II. In: 13th International Conference on Intelligent Software Methodologies, Tools, and Techniques, 22-24 Sep 2014, Langkawi, Malaysia.

[img]
Preview
PDF
somet201414.pdf - Published Version

Download (417kB)

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: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Gravitational search algorithm, optimization, vector evaluated
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering
Depositing User: Mr. Mohd Samsul Ismail
Date Deposited: 23 Mar 2015 01:00
Last Modified: 23 Mar 2015 01:00
URI: http://eprints.um.edu.my/id/eprint/13034

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year