Parameter Analysis on Fruit Fly Optimization Algorithm - Journal of Computer and Communications

JCC > Vol.2 No.4, March 2014

Journal of Computer and Communications

Volume 2, Issue 4 (March 2014)

ISSN Print: 2327-5219 ISSN Online: 2327-5227

Google-based Impact Factor: 1.12 Citations

Parameter Analysis on Fruit Fly Optimization Algorithm ()

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Download as PDF (Size: 255KB) PP. 137-141

DOI: 10.4236/jcc.2014.24018 4,147 Downloads 6,872 Views Citations

Author(s)

Hazim Iscan, Mesut Gunduz

Affiliation(s)

Computer Engineering Department, Sel?uk University, Konya, Turkey.

ABSTRACT

Fruit fly algorithm is a novel intelligent optimization algorithm based on foraging behavior of the real fruit flies. In order to find optimum solution for an optimization problem, fixed parameters are obtained as a result of manual test in fruit fly algorithm. In this study, it is aimed to find the optimum solution by analyzing the constant parameter concerning the direction of the algorithm instead of manual defining on initialization stage. The study shows an automated approach for finding the related parameter by utilizing grid search algorithm. According to the experimental results, it can be seen that this approach could be used as an alternative way for finding related parameter or other ones in order to achieve optimum model.

KEYWORDS

Fruit Fly; Optimization

Share and Cite:

Iscan, H. and Gunduz, M. (2014) Parameter Analysis on Fruit Fly Optimization Algorithm. Journal of Computer and Communications, 2, 137-141. doi: 10.4236/jcc.2014.24018.

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