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May 22, 2022 · The Artificial Bee Colony (ABC) algorithm is a swarm-based meta-heuristic technique used for numerical problem optimization. It was inspired by honey bees’ clever foraging behaviour. The model is made up of three key components: employed and unemployed foraging bees, as well as food sources.
Mar 11, 2023 · As an optimization tool, the artificial bee colony algorithm offers a population-based search procedure. In this procedure, individuals, called food positions, are modified over time by artificial bees.
The artificial bee colony algorithm (Gao & Liu, 2012; Karaboga, 2005) is a bio-inspired optimization algorithm which searches for an optimal numerical solution among a large number of alternatives. This approach is based on the collective foraging behaviour of the honey bees.
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 Derviş Karaboğa (Erciyes University) in 2005.
The artificial bee colony optimization (ABC) or (BCO) is also a meta-heuristic algorithm and is inspired by the foraging behavior of honeybees [53]. A bee in BCO represents an agent; and a FLS or FLC must be represented as a bee to optimize it using BCO.
Dec 8, 2019 · The artificial bee colony (ABC) is one of the most well-regarded swarm intelligence-based algorithms in the literature of evolutionary computation techniques. This algorithm mimics the foraging behaviors of bees in the hive.
This paper presents an overview of the literature employing the Artificial Bee Colony (ABC) algorithm in their solution approach. The ABC algorithm is a recently introduced population-based meta-heuristic optimization technique inspired by the intelligent foraging behavior of honeybee swarms.
Oct 21, 2011 · The Artificial Bee Colony (ABC) algorithm is a swarm based meta-heuristic algorithm that was introduced by Karaboga in 2005 ( Karaboga, 2005) for optimizing numerical problems. It was inspired by the intelligent foraging behavior of honey bees.
Jan 1, 2018 · Artificial bee colony (ABC) algorithm is a well-established swarm optimization technique that has been successfully applied for solving different kinds of optimization problems. In spite of its efficiency and wide use, ABC still suffers from slow convergence speed.
Nov 14, 2020 · This research focused on introduction to the Artificial Bee Colony (ABC) algorithm, the foraging behavior and waggle dance of honeybees while passing information about a given food source to the rest of the bee colony.
