Modified Bee Colony Optimization for the Selection of
Different Combination of Food Sources
Saravanamoorthi Moorthi
Department of Mathematics, Bannari Amman Institute of Technology,
India
Abstract:
There is a trend in the scientific community to model
and solve complex optimization process by employing natural metaphors. In this
area, Artificial Bee Colony optimization (ABC) tries to model natural behaviour
of real honeybees in food foraging. ABC algorithm is an optimization algorithm based
on the intelligent behaviour of honey bee swarm. In this work, ABC is used for
solving multivariable functions with different combinations of them. That is,
all the routes are identified to the bees and using all the possible
combinations, the outputs are measured. Based on the output the optimum value
is selected.
Keywords: ABC algorithm, optimization, benchmark functions.
Received February 20, 2013; accepted June 5, 2013; Published online December 23, 2015