Document detail
ID

oai:pubmedcentral.nih.gov:9252...

Topic
Review Article
Author
Tripathy, B. K. Reddy Maddikunta, Praveen Kumar Pham, Quoc-Viet Gadekallu, Thippa Reddy Dev, Kapal Pandya, Sharnil ElHalawany, Basem M.
Langue
en
Editor

Hindawi

Category

Computational Intelligence and Neuroscience

Year

2022

listing date

12/12/2022

Keywords
optimization survey applications
Metrics

Abstract

In this review, we intend to present a complete literature survey on the conception and variants of the recent successful optimization algorithm, Harris Hawk optimizer (HHO), along with an updated set of applications in well-established works.

For this purpose, we first present an overview of HHO, including its logic of equations and mathematical model.

Next, we focus on reviewing different variants of HHO from the available well-established literature.

To provide readers a deep vision and foster the application of the HHO, we review the state-of-the-art improvements of HHO, focusing mainly on fuzzy HHO and a new intuitionistic fuzzy HHO algorithm.

We also review the applications of HHO in enhancing machine learning operations and in tackling engineering optimization problems.

This survey can cover different aspects of HHO and its future applications to provide a basis for future research in the development of swarm intelligence paths and the use of HHO for real-world problems.

Tripathy, B. K.,Reddy Maddikunta, Praveen Kumar,Pham, Quoc-Viet,Gadekallu, Thippa Reddy,Dev, Kapal,Pandya, Sharnil,ElHalawany, Basem M., 2022, Harris Hawk Optimization: A Survey onVariants and Applications, Hindawi

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