Abstract There is a trend in the scientific community to model and solve complex optimization process byemploying natural metaphors. In this area,Artificial Bee Colony optimization (ABC)tries tomodel naturalbehaviourof realhoneybeesinfood foraging.ABCalgorithmis an optimizationalgorithmbasedontheintelligentbehaviourofhoneybee swarm.In this work, ABC is used for solving multivariablefunctions withdifferent combinations of them.That is, all theroutes areidentified to the beesand using allthe possible combinations,the outputsare measured.Based on the output theoptimum valueis selected.

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