A modified whale optimization algorithm for large-scale global optimization problems

作者：

Highlights：

• Whale optimization algorithm is improved for large-scale optimization problems.

• A dynamic strategy is used to balance the exploration and exploitation abilities.

• A Lévy-flight process is adopted to jump out of local optima.

• Exploitation ability and solution accuracy are improved by quadratic interpolation.

摘要

•Whale optimization algorithm is improved for large-scale optimization problems.•A dynamic strategy is used to balance the exploration and exploitation abilities.•A Lévy-flight process is adopted to jump out of local optima.•Exploitation ability and solution accuracy are improved by quadratic interpolation.

论文关键词：Large-scale global optimization,Whale optimization algorithm,Lévy flight,Self-adaptive strategy,Quadratic interpolation

论文评审过程：Received 31 May 2018, Revised 28 July 2018, Accepted 14 August 2018, Available online 17 August 2018, Version of Record 4 September 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.08.027