A harmonic estimator design with evolutionary operators equipped grey wolf optimizer

作者：

Highlights：

• Evolutionary operators equipped Grey Wolf Optimizer (E-GWO) is proposed.

• E-GWO is benchmarked on latest CEC-2017 functions.

• Harmonic Estimation problem is solved by proposed E-GWO.

• Results validate applicability of proposed variant.

摘要

•Evolutionary operators equipped Grey Wolf Optimizer (E-GWO) is proposed.•E-GWO is benchmarked on latest CEC-2017 functions.•Harmonic Estimation problem is solved by proposed E-GWO.•Results validate applicability of proposed variant.

论文关键词：Grey Wolf Optimizer (GWO),Mutation,Crossover,Harmonics,Power quality,Optimization,Algorithm

论文评审过程：Received 28 June 2019, Revised 14 October 2019, Accepted 8 December 2019, Available online 13 December 2019, Version of Record 24 December 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.113125