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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 ...
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.
Waggle dance is a term used in beekeeping and ethology for a particular figure-eight dance of the honey bee. By performing this dance, successful foragers can share information about the direction and distance to patches of flowers yielding nectar and pollen, to water sources, or to new nest-site locations with other members of the colony. [ 1 ...
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.
Honey bee larvae hatch from eggs in three to four days. They are then fed by worker bees and develop through several stages in hexagonal cells made of beeswax. Cells are capped by worker bees when the larva pupates. Queens and drones are larger than workers, so require larger cells to develop.
A flock of auklets exhibit swarm behaviour. Swarm behaviour, or swarming, is a collective behaviour exhibited by entities, particularly animals, of similar size which aggregate together, perhaps milling about the same spot or perhaps moving en masse or migrating in some direction. It is a highly interdisciplinary topic.
v. t. e. In computational science, particle swarm optimization ( PSO) [ 1] is a computational method that optimizes a problem by iteratively trying to improve a candidate solution with regard to a given measure of quality. It solves a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around ...
Apis mellifica mellifica silvarum Goetze, 1964 (Unav.) 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 ...