Grey Wolf Optimizer

Modestus O. Okwu, Lagouge K. Tartibu

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

9 Citations (Scopus)

Abstract

GWO algorithm is a swarm or population-based meta-heuristic technique developed based on motivation from the hunting pattern of the Grey Wolves (GW). In this study, the model was implemented using MATLAB 2020. Thirty (30) search agents were considered and the maximum number of iterations was set to 1000. The best solution, best optimal value and objective function are presented in the study. GWO algorithm is considered useful for solving complex optimization problem.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Science and Business Media Deutschland GmbH
Pages43-52
Number of pages10
DOIs
Publication statusPublished - 2021

Publication series

NameStudies in Computational Intelligence
Volume927
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

ASJC Scopus subject areas

  • Artificial Intelligence

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