A survey: Algorithms simulating bee swarm intelligence

by Dervis Karaboga, Bahriye Akay
Artificial Intelligence Review ()
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Abstract

Swarm intelligence is an emerging area in the field of optimization and research- ers have developed various algorithms by modeling the behaviors of different swarm of ani- mals and insects such as ants, termites, bees, birds, fishes. In 1990s,Ant Colony Optimization based on ant swarm and Particle Swarm Optimization based on bird flocks and fish schools have been introduced and they have been applied to solve optimization problems in various areas within a time of two decade. However, the intelligent behaviors of bee swarm have inspired the researchers especially during the last decade to develop new algorithms. This work presents a survey of the algorithms described based on the intelligence in bee swarms and their applications.

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