Equalized Grey Wolf Optimizer with Refraction Opposite Learning.Grey wolf optimizer (GWO) is a global search algorithm based on grey wolf hunting activity.  Therefore, to solve this problem, an equalized grey wolf optimizer with refraction opposite learning (REGWO) is proposed in this study. 
Equalized Grey Wolf Optimizer with Refraction Opposite Learning
Equalized Grey Wolf Optimizer with Refraction Opposite Learning.Grey wolf optimizer (GWO) is a global search algorithm based on grey wolf hunting activity. 
Grey wolf optimizer (GWO)
Therefore, to solve this problem, an equalized grey wolf optimizer with refraction opposite learning (REGWO) is proposed in this study.  In REGWO, the issue about the low swarm population variety of GWO in the late iteration is well overcome by the opposing learning of refraction.  To investigate the effectiveness of REGWO, it is evaluated on 21 widely used benchmark functions and IEEE CEC 2019 test functions.  Experimental results show/ that REGWO performs better than the other competitors on most benchmarks.
REGWO
Therefore, to solve this problem, an equalized grey wolf optimizer with refraction opposite learning (REGWO) is proposed in this study.  In REGWO, the issue about the low swarm population variety of GWO in the late iteration is well overcome by the opposing learning of refraction.  To investigate the effectiveness of REGWO, it is evaluated on 21 widely used benchmark functions and IEEE CEC 2019 test functions.  Experimental results show/ that REGWO performs better than the other competitors on most benchmarks.
REGWO