A novel hybrid method of global optimization based on the grey Wolf optimizer and the bees algorithm

A new hybrid evolutionary algorithm based on the Grey wolf optimizer and the Bees algorithm is proposed. Embedded hybridization allows combining the strengths of original methods. A comparative analysis of the new hybrid method is performed on benchmark functions. © 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the scientific committee of the 13th International Symposium “Intelligent Systems” (INTELS'18).

Authors
Konstantinov S.V. 1 , Khamidova U.K.2 , Sofronova E.A. 3
Conference proceedings
Procedia Computer Science
Publisher
Elsevier B.V.
Language
English
Pages
471-477
Status
Published
DOI
10.1016/j.procs.2019.02.081
Volume
150
Year
2019
Organizations
  • 1 RUDN University, 6, Miklukho-Maklaya str., Moscow, 117198, Russian Federation
  • 2 Bauman Moscow State Technical University, 5, 2-ya Baumanskaya str., Moscow, 105005, Russian Federation
  • 3 Federal Research Centre, Computer Science and Control, RAS, Vavilova str. 44 b. 2, Moscow, 119333, Russian Federation
Keywords
Bees algorithm; Evolutionary algorithms; Grey Wolf optimizer; Hybrid algorithms
Date of creation
19.07.2019
Date of change
19.07.2019
Short link
https://repository.rudn.ru/en/records/article/record/38981/
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