The bee algorithm mimics the foraging behavior of honey bees.
In computer science and operations research, the bees algorithm is a population-based search algorithm which was developed by Pham, Ghanbarzadeh et al. in 2005. It mimics the food foraging behaviour of honey bee colonies. In its basic form, the algorithm combines local neighbourhood search with global exploration of the search space. It can be used for both combinatorial optimization and continuous optimization. The only condition for the application of the bees algorithm is that some measure of distance between the solutions is defined. A number of studies have demonstrated the specific capabilities and effectiveness of the bees algorithm.
↑ Pham DT, Ghanbarzadeh A, Koc E, Otri S, Rahim S and Zaidi M. The Bees Algorithm. Technical Note, Manufacturing Engineering Centre, Cardiff University, UK, 2005.
1 2 3 Pham, D.T., Castellani, M. (2009), The Bees Algorithm – Modelling Foraging Behaviour to Solve Continuous Optimisation Problems. Proc. ImechE, Part C, 223(12), 2919-2938.
↑ Pham, D.T. and Castellani, M. (2013), Benchmarking and Comparison of Nature-Inspired Population-Based Continuous Optimisation Algorithms, Soft Computing, 1-33.
↑ Pham, D.T. and Castellani, M. (2015), A comparative study of the bees algorithm as a tool for function optimisation, Cogent Engineering 2(1), 1091540.
1 2 3 Nasrinpour, H. R., Massah Bavani, A., Teshnehlab, M., (2017), Grouped Bees Algorithm: A Grouped Version of the Bees Algorithm, Computers 2017, 6(1), 5; (doi:10.3390/computers6010005)
↑ Baronti, Luca & Castellani, Marco & Pham, D.. (2020),An Analysis of the Search Mechanisms of the Bees Algorithm., Swarm and Evolutionary Computation. 59. 100746. 10.1016/j.swevo.2020.100746
1 2 3 4 Tereshko V., Loengarov A., (2005) Collective Decision-Making in Honey Bee Foraging Dynamics Archived 2014-02-01 at the Wayback Machine. Journal of Computing and Information Systems, 9(3), 1-7.
↑ Von Frisch, K. (1967) The Dance Language and Orientation of Bees. Harvard University Press, Cambridge, Massachusetts.
1 2 Pham D.T., Ghanbarzadeh A., Koc E., Otri S., Rahim S., Zaidi M., The Bees Algorithm, A Novel Tool for Complex Optimisation Problems, Proc 2nd Int Virtual Conf on Intelligent Production Machines and Systems (IPROMS 2006), Oxford: Elsevier, pp. 454-459, 2006.
↑ Pham D. T., Haj Darwish A., (2008), A. Fuzzy Selection of Local Search Sites in the Bees Algorithm. Proceedings of Innovative Production Machines and Systems (IPROMS 2008)
↑ Pham Q. T., Pham D. T., Castellani M., A modified Bees Algorithm and a statistics-based method for tuning its parameters. Proceedings of the Institution of Mechanical Engineers (ImechE), Part I: Journal of Systems and Control Eng., 2011 (
The bee algorithm mimics the foraging behavior of honey bees.