The International Arab Journal of Information Technology (IAJIT)


Modified Bee ColonyOptimizationfor the Selection of DifferentCombinationof Food Sources

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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[18]Al-Khanjari Z.,KuttiS.,andHatem M., An Extended E-learning System Architecture: Integrating Software Tools within the E-learning Portal, TheInternational Arab Journal of Information Technology,vol.3,no.1,pp. 75-81, 2006. SaravanamoorthiMoorthiis working as an Assistant professor in Senior Grade in Bannari Amman Institute of Technology, India. He has completed MScin Mathematics inBharathiar University, India. He has more than a decade of teaching experience in various Engineering colleges in India. He has done his research in the area ofoptimization techniquesand his research work is Performance Evaluation of Sugar Industry using Optimization Techniques. He has published seven papers in various International Journalsin the area related to the optimization techniques.