Modified bee colony optimization for the selection of different combination of food sources

Abstract EN

There is a trend in the scientific community to model and solve compl^^ 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.