GGWO: Gaze cues learning-based grey wolf optimizer and its applications for solving engineering problems

In this article, an improved variant of the grey wolf optimizer (GWO) named gaze cues learning-based grey wolf optimizer (GGWO) is proposed. The main intentions are to reduce the existing high selective pressure and low diversification of the GWO algorithm, which results in premature convergence, lo...

Full description

Saved in:
Bibliographic Details
Published inJournal of computational science Vol. 61; p. 101636
Main Authors Nadimi-Shahraki, Mohammad H., Taghian, Shokooh, Mirjalili, Seyedali, Zamani, Hoda, Bahreininejad, Ardeshir
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.05.2022
Subjects
Online AccessGet full text

Cover

Loading…