Name		Name	Last commit message	Last commit date
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__pycache__		__pycache__
README.md		README.md
abc_class.py		abc_class.py
artificial_bee.py		artificial_bee.py
demo_abc.py		demo_abc.py
employee_bee.py		employee_bee.py
objective_function.py		objective_function.py
onlooker_bee.py		onlooker_bee.py

README.md

Artificial Bee Colony

What is Artificial Bee Colony?

The artificial bee colony algorithm (ABC) is an optimization algorithm based on the intelligent foraging behaviour of the honeybee swarm, proposed by Derviş Karaboğa (Erciyes University) 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.

Installation

TODO

Demo

TODO

References

Dervis Karaboga, Bahriye Basturk - Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems
Pedro Buarque - A Swarm Intelligence approach to Optimization Problems using the Artificial Bee Colony (ABC) Algorithm