Improved Binary Grey Wolf Optimizer and Its application for feature selection

作者：

Highlights：

• In the binary Grey Wolf Optimizer, the value of AD belongs to [-4, 4].

• Transfer function plays an important role in the binary Grey Wolf Optimizer.

• Original updating equation for a cannot balance exploration and exploitation.

• New updating equation for a is proposed to improve the solution quality.

摘要

•In the binary Grey Wolf Optimizer, the value of AD belongs to [-4, 4].•Transfer function plays an important role in the binary Grey Wolf Optimizer.•Original updating equation for a cannot balance exploration and exploitation.•New updating equation for a is proposed to improve the solution quality.

论文关键词：Grey Wolf Optimizer,Discrete,Binary,Transfer function,Feature selection

论文评审过程：Received 24 December 2019, Revised 19 February 2020, Accepted 6 March 2020, Available online 9 March 2020, Version of Record 4 April 2020.

论文官网地址：https://doi.org/10.1016/j.knosys.2020.105746