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