TITLE:
Parameter Analysis on Fruit Fly Optimization Algorithm
AUTHORS:
Hazim Iscan, Mesut Gunduz
KEYWORDS:
Fruit Fly; Optimization
JOURNAL NAME:
Journal of Computer and Communications,
Vol.2 No.4,
March
18,
2014
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.