algorithms simulating bee swarm intelligence-survey




FREE-DOWNLOAD D Karaboga… – Artificial Intelligence Review, 2009

Swarm intelligence is an emerging area in the field of optimization and researchers have developed various algorithms by modeling the behaviors of different swarm of animals and insects such as ants, termites, bees, birds, fishes. In 1990s, Ant Colony Optimizationbased on ant swarm and Particle Swarm Optimization based on bird flocks and fish schoolshave been introduced and they have been applied to solve optimization problems in variousareas within a time of two decade. However, the intelligent behaviors of bee swarm haveinspired the researchers especially during the last decade to develop new algorithms. Thiswork presents a survey of the algorithms described based on the intelligence in bee swarmsand their applications.