Usability of Honeybee Algorithms in Practice. Towards Nature-Inspired Sustainable Development

Author:

Owoc Mieczysław L.ORCID

Publisher

Springer Nature Switzerland

Reference24 articles.

1. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);H Shah,2017

2. Pham, D.T., Castellani, M., Le-Thi, H.A.: The bees algorithm: modelling nature to solve complex optimisation problems. In: Proceedings of the 11th International Conference on Manufacturing Research (ICMR2013), 19th–20th September 2013, pp. 481–488. Cranfield University, UK (2013)

3. Pham, D.T., Chamran, A.G.S., Koç, E., Otri, S.: The Bee Algorithm A Novel Approach to Function OptimisationBees Algorithm. Cardiff University Technical Note: MEC 0501 (2005)

4. Yuce, B., Packianather, M.S., Mastrocinque, E., Pham, D.T., Lambiase, A.: Honey bees inspired optimization method: the bees algorithm. Insects 4, 646–662 (2013). https://doi.org/10.3390/insects4040646

5. Kumar, A., Kumar, D., Jarial, S.K.: A review on artificial bee colony algorithms and their applications to data clustering. Cybernet. Inf. Technol. 17(3), 3–28 (2017). https://doi.org/10.1515/cait-2017-0027

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