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Artificial Bee Colony (ABC) is one of the algorithms defined by Dervis Karaboga in 2005, motivated by the intelligent behavior of honey bees. It is as simple as particle swarm (PSO) and differential evolution (DE) optimization algorithms, and uses only common control parameters such as colony size and maximum number of cycles. ABC as an optimization tool, provides a population-based search procedure in which individuals called food positions are modified by artificial bees over time and the aim of the bee is to disco ....etc | |||
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In computer science and operations research, the artificial bee colony algorithm (ABC) is an optimization algorithm based on the intelligent foraging behaviour of honey bee swarm, proposed by Karaboga in 2005.In the ABC model, the colony consists of three groups of bees: employed bees, onlookers and scouts. It is assumed that there is only one artificial employed bee for each food source. In other words, the number of employed bees in the colony is equal to the number of food sources around the hive. Employed bees go to their food source and co ....etc | |||
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