An improved elephant herding optimization using sine–cosine mechanism and opposition based learning for global optimization problems

作者：

Highlights：

• Opposition-based learning and Sine-Cosine mechanism are introduced.

• Improved Elephant Herding Optimization algorithm is developed.

• Tested against selected benchmark functions and engineering problems.

• Reported very promising results for selected benchmark problems.

摘要

•Opposition-based learning and Sine-Cosine mechanism are introduced.•Improved Elephant Herding Optimization algorithm is developed.•Tested against selected benchmark functions and engineering problems.•Reported very promising results for selected benchmark problems.

论文关键词：Elephant herding optimization,Opposition-based learning,Sine-cosine mechanism,Financial stress prediction and global optimization

论文评审过程：Received 9 May 2020, Revised 13 October 2020, Accepted 11 January 2021, Available online 16 January 2021, Version of Record 5 February 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.114607