Grey wolf optimizer: Theory, literature review, and application in computational fluid dynamics problems

Seyedali Mirjalili, Ibrahim Aljarah, Majdi Mafarja, Ali Asghar Heidari, Hossam Faris

Research output: Chapter in Book/Report/Conference proceedingChapter

5 Citations (Scopus)

Abstract

This chapter first discusses inspirations, methematicam models, and an in-depth literature of the recently proposed Grey Wolf Optimizer (GWO). Then, several experiments are conducted to analyze and benchmark the performance of different variants and improvements of this algorithm. The chapter also investigates the application of the GWO variants in finding an optimal design for a ship propeller.

Original languageEnglish
Title of host publicationStudies in Computational Intelligence
PublisherSpringer Verlag
Pages87-105
Number of pages19
DOIs
Publication statusPublished - 1 Jan 2020
Externally publishedYes

Publication series

NameStudies in Computational Intelligence
Volume811
ISSN (Print)1860-949X

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Cite this

Mirjalili, S., Aljarah, I., Mafarja, M., Heidari, A. A., & Faris, H. (2020). Grey wolf optimizer: Theory, literature review, and application in computational fluid dynamics problems. In Studies in Computational Intelligence (pp. 87-105). (Studies in Computational Intelligence; Vol. 811). Springer Verlag. https://doi.org/10.1007/978-3-030-12127-3_6