Lens-imaging learning Harris hawks optimizer for global optimization and its application to feature selection

作者：

Highlights：

• A improve version of HHO, named LIL-HHO, is proposed.

• A novel escaping energy parameter strategy is presented.

• A modified position search equation is designed.

• A lens-imaging learning is proposed to enhance the diversity.

• The extensive results show the competitive performance of LIL-HHO.

摘要

•A improve version of HHO, named LIL-HHO, is proposed.•A novel escaping energy parameter strategy is presented.•A modified position search equation is designed.•A lens-imaging learning is proposed to enhance the diversity.•The extensive results show the competitive performance of LIL-HHO.

论文关键词：Harris hawks optimizer,Lens-imaging learning,Function optimization,Feature selection

论文评审过程：Received 19 May 2021, Revised 30 January 2022, Accepted 13 April 2022, Available online 26 April 2022, Version of Record 29 April 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117255