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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. A set of honey bees, called swarm, can ...
Bees algorithm. In computer science and operations research, the bees algorithm is a population-based search algorithm which was developed by Pham, Ghanbarzadeh et al. in 2005. [ 1] It mimics the food foraging behaviour of honey bee colonies. In its basic version the algorithm performs a kind of neighbourhood search combined with global search ...
Swarm intelligence ( SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems. [ 1][ 2] SI systems consist typically of a population of ...
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.
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.
Unlike a bumble bee colony or a paper wasp colony, the life of a honey bee colony is perennial. The three types of honey bees in a hive are: queens (egg-producers), workers (non-reproducing females), and drones (males whose main duty is to find and mate with a queen). Unlike the worker bees, drones do not sting.
Swarm robotic platforms apply swarm robotics [1] in multi-robot collaboration. [2] They take inspiration from nature (e.g. collective problem solving mechanisms seen in nature such as honey bee aggregation [3] [4]). The main goal is to control a large number of robots (with limited sensing/processing ability) to accomplish a common task/problem.
Demaree also described a swarm prevention method in 1884, but that was a two-hive system that is unrelated to modern "demareeing". [2] As with many swarm prevention methods, demareeing involves separating of the queen and forager bees from the nurse bees. The theory is that forager bees will think that the hive has swarmed if there is a drastic ...