Artificial Bee Colony Algorithm
In computer science and operations research, the artificial bee colony algorithm (ABC) is an optimization algorithm based on the intelligent foraging behaviour of honey bee swarm, proposed by Karaboga in 2005.
Other articles related to "artificial bee colony algorithm, algorithm, bees, bee":
... Karaboga and his research group have been studying the ABC algorithm and its applications to real world problems ... Karaboga and Basturk have investigated the performance of the ABC algorithm on unconstrained numerical optimization problems and its extended version for the constrained ... applied ABC algorithm to neural network training ...
... Artificial bee colony algorithm (ABC) is a meta-heuristic algorithm introduced by Karaboga in 2005, and simulates the foraging behaviour of honey bees ... The ABC algorithm has three phases employed bee, onlooker bee and scout bee ... In the employed bee and the onlooker bee phases, bees exploit the sources by local searches in the neighbourhood of the solutions selected based on deterministic selection in the ...
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“For, as it is dislocation and detachment from the life of God, that makes things ugly, the poet, who re-attaches things to nature and the Whole,re-attaching even artificial things, and violations of nature, to nature, by a deeper insight,disposes very easily of the most disagreeable facts.”
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