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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 ...
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 ...
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In the ant colony optimization algorithms, an artificial ant is a simple computational agent that searches for good solutions to a given optimization problem. To apply an ant colony algorithm, the optimization problem needs to be converted into the problem of finding the shortest path on a weighted graph.
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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 ...
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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 ...
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