07-04-2012, 12:32 PM
Artificial Bee Colony
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INTRODUCTION
Artificial Bee Colony (ABC) is one of the most recently defined algorithms by Dervis karaboga in 2005, motivated by the intelligent behaviour of honey bees.
ABC is developed based on inspecting the behaviors of real bees on finding nectar and sharing the information of food sources to the bees in the hive
BEHAVIOUR OF REAL BEES
Food sources:
its proximity to the nest
richness or concentration of energy
ease of extracting the energy
Employed bees:
provide information about food source
direction and distance from nest
profitability of the source
APPLICATION
unconstrained numerical optimization problems
constrained optimization problems
neural network training
structural optimization
CONCLUSION
When the performance of the ABC algorithm has been compared with that of differential evolution, particle swarm optimization and evolutionary algorithm for multi-dimensional and multimodal numeric problems. The behaviour of ABC algorithm under different control parameter values has also been analysed. Simulation results show that ABC algorithm performs better than the mentioned algorithms and can be efficiently employed to solve the multimodal engineering problems with high dimensionality.