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).