Artificial bee colony algorithm - Wikipedia
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, …
Artificial Bee Colony Algorithm - an overview | ScienceDirect ...
This algorithm models the social structure of a bee colony by categorizing artificial bees into three groups: employed bees, onlooker bees, and scout bees. In this model, food sources represent …
Artificial bee colony based optimization algorithm and its ...
May 5, 2025 · Aiming at the problem of redundant local planning and long planning time of traditional artificial bee colony algorithms in the presence of constraints, this paper proposes …
The Artificial Bee Colony Algorithm: A Comprehensive Survey ...
Mar 19, 2025 · Swarm intelligence is one of the most important families of bio-inspired algorithms and the artificial bee colony (ABC) algorithm is a prominent member. This paper presents a …
Artificial bee colony algorithm - Scholarpedia
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 …
ABC (Artificial Bee Colony Algorithm) overview, algorithms ...
Feb 7, 2025 · ABC (Artificial Bee Colony Algorithm) is one of the swarm intelligence-based optimisation algorithms, which mimics the foraging behaviour of honeybees in nature. It is …
(PDF) A deep dive into the artificial bee colony algorithm ...
May 19, 2025 · The Artificial Bee Colony (ABC) algorithm, developed by Karaboga in 2005, is a nature-inspired optimization method modeled after the foraging behavior of honeybees.