Bees Algorithm

See: Continuous Optimization, Operations Research, Search Algorithm, Combinatorial Optimization.

References

(Wikipedia, 2018) ⇒ https://en.wikipedia.org/wiki/Bees_algorithm Retrieved:2018-1-3.
- In computer science and operations research, the bees algorithm is a population-based search algorithm which was developed in 2005.^[1] It mimics the food foraging behaviour of honey bee colonies. In its basic version the algorithm performs a kind of neighbourhood search combined with global search, and 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 topological distance between the solutions is defined. The effectiveness and specific abilities of the bees algorithm have been proven in a number of studies.^[2] ^[3] ^[4] ^[5]

↑ 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.
↑ 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.
↑ 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)

(Pham et al., 2006) ⇒ D. T. Pham, A. Ghanbarzadeh, E. Koc, S. Otri, S. Rahim, and M. Zaidi. (2006). “The Bees Algorithm-A Novel Tool for Complex Optimisation.” In: Intelligent Production Machines and Systems-2nd I* PROMS Virtual International Conference (3-14 July