Grey wolf optimizer based on Aquila exploration method

作者：

Highlights：

• A new meta-heuristic algorithm is proposed.

• Giving the Wolf the ability to fly like an Aquila.

• A new nonlinear reduction strategy is proposed.

• Compared with other well-known algorithms.

• The superiority and effectiveness of the algorithm are verified.

摘要

•A new meta-heuristic algorithm is proposed.•Giving the Wolf the ability to fly like an Aquila.•A new nonlinear reduction strategy is proposed.•Compared with other well-known algorithms.•The superiority and effectiveness of the algorithm are verified.

论文关键词：Optimization,Grey wolf optimizer,Meta-heuristics,Swarm intelligence,Aquila Optimizer

论文评审过程：Received 11 November 2021, Revised 22 April 2022, Accepted 17 May 2022, Available online 21 May 2022, Version of Record 1 June 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117629