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Artificial bee colony algorithm. Artificial bee colony (ABC) algorithm is an optimization technique that simulates the foraging behavior of honey bees, and has been successfully applied to various practical problems [citation needed]. ABC belongs to the group of swarm intelligence algorithms and was proposed by Karaboga in 2005.
Swarming (honey bee) Swarming is a honey bee colony's natural means of reproduction. In the process of swarming, a single colony splits into two or more distinct colonies. [1] Swarming is mainly a spring phenomenon, usually within a two- or three-week period depending on the locale, but occasional swarms can happen throughout the producing season.
Bee Swarm Simulator is an incremental game developed by Onett where bees follow players around. The bees help collect pollen to convert into honey [12] and attack hostile mobs. [13] The game uses quests, events and other features to hook its players into continuing to play the game.
Examples of swarm intelligence in natural systems include ant colonies, bee colonies, bird flocking, hawks hunting, animal herding, bacterial growth, fish schooling and microbial intelligence. The application of swarm principles to robots is called swarm robotics while swarm intelligence refers to the more general set of algorithms.
The western honey bee or European honey bee (Apis mellifera) is the most common of the 7–12 species of honey bees worldwide. [3][4] The genus name Apis is Latin for 'bee', and mellifera is the Latin for 'honey-bearing' or 'honey-carrying', referring to the species' production of honey. [5] Like all honey bee species, the western honey bee is eusocial, creating colonies with a single fertile ...
Boids is an artificial life program, developed by Craig Reynolds in 1986, which simulates the flocking behaviour of birds, and related group motion. His paper on this topic was published in 1987 in the proceedings of the ACM SIGGRAPH conference. [1] The name "boid" corresponds to a shortened version of "bird-oid object", which refers to a bird ...
One variation on this approach is the bees algorithm, which is more analogous to the foraging patterns of the honey bee, another social insect. This algorithm is a member of the ant colony algorithms family, in swarm intelligence methods, and it constitutes some metaheuristic optimizations.
Swarm is the name of an open-source agent-based modeling simulation package, useful for simulating the interaction of agents (social or biological) and their emergent collective behaviour.
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