Harris Hawks Optimization: A Formal Analysis of Its Variants and Applications

Ruba Abu Khurma, Ibrahim Aljarah, Pedro A. Castillo

2021

Abstract

The Harris Hawks Optimization (HHO) is a recent meta-heuristic algorithm developed by Hideri in 2019. HHO algorithm has been widely utilized to solve many optimization problems in different fields. The primary objective of HHO is to define a fitness function that can successfully optimize a specific problem by finding the minimum or maximum value. This survey presents a thorough study of the algorithm, including its variants such as binary, hybridization, multi-objective and modifications. It highlights the main applications such as medical, engineering, machine learning, and network applications. Finally, the conclusion summarizes the current works on HHO and suggests possible future directions.

Paper Citation

in Harvard Style

Khurma R., Aljarah I. and Castillo P. (2021). Harris Hawks Optimization: A Formal Analysis of Its Variants and Applications. In Proceedings of the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) - Volume 1: ECTA; ISBN 978-989-758-534-0, SciTePress, pages 88-95. DOI: 10.5220/0010636600003063

in Bibtex Style

@conference{ijcci21,
author={Ruba Abu Khurma and Ibrahim Aljarah and Pedro A. Castillo},
title={Harris Hawks Optimization: A Formal Analysis of Its Variants and Applications},
booktitle={Proceedings of the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) - Volume 1: ECTA},
year={2021},
pages={88-95},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010636600003063},
isbn={978-989-758-534-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) - Volume 1: ECTA
TI - Harris Hawks Optimization: A Formal Analysis of Its Variants and Applications
SN - 978-989-758-534-0
AU - Khurma R.
AU - Aljarah I.
AU - Castillo P.
PY - 2021
SP - 88
EP - 95
DO - 10.5220/0010636600003063
PB - SciTePress