Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection

J Hu, H Chen, AA Heidari, M Wang, X Zhang… - Knowledge-Based …, 2021 - Elsevier
This research's genesis is in two aspects: first, a guaranteed solution for mitigating the grey
wolf optimizer's (GWO) defect and deficiencies. Second, we provide new open-minding …

[PDF][PDF] Orthogonal learning covariance matrix for defects of gray wolf optimizer: Insights, balance, diversity, and feature selection

J Hua, H Chena, AA Heidarib, M Wangd, X Zhanga… - 2020 - researchgate.net
abstract This research's genesis is in two aspects: first, a guaranteed solution for mitigating
the gray wolf optimizer's (GWO) defects and deficiencies. Second, we provide new open …

Orthogonal learning covariance matrix for defects of grey wolf optimizer:: Insights, balance, diversity, and feature selection

J Hu, H Chen, AA Heidari, M Wang, X Zhang, Y Chen… - 2021 - dl.acm.org
This research's genesis is in two aspects: first, a guaranteed solution for mitigating the grey
wolf optimizer's (GWO) defect and deficiencies. Second, we provide new open-minding …