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The Artificial Bee Colony (ABC) algorithm as a non-standard computational method

Swarm intelligence is defined in the academic literature as the ability to design algorithms inspired by the collective behaviour of decentralized and self-organized social insect colonies. A well-known example of swarm intelligence is a honey bee swarm which has enthused researchers to develop algorithms based on the various activities taking place within a bee colony. An example of one such algorithm is the Artificial Bee Colony (ABC) algorithm proposed by Karaboga in 2005 which simulates the foraging behavior of bees for solving optimization problems and is the one of the most widely studied swarm based algorithms so far.

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