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

Ruba Khurma; Ibrahim Aljarah; Pedro Castillo

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Paper

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

Topics: Bio-inspired Metaheuristics; Hyperheuristics

In Proceedings of the 13th International Joint Conference on Computational Intelligence - Volume 0IJCCI, 88-95, 2021

Authors: Ruba Khurma ¹ ; Ibrahim Aljarah ¹ and Pedro Castillo ²

Affiliations: ¹ King Abdullah II School for Information Technology, The University of Jordan, Amman, Jordan ; ² Department of Computer Architecture and Computer Technology, ETSIIT and CITIC, University of Granada, Granada, Spain

Keyword(s): Harris Hawcks Optimization Algorithm, HHO, Meta-heuristic Optimization, Swarm Intelligence Algorithms.

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.

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Paper citation in several formats:

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) - IJCCI; ISBN 978-989-758-534-0; ISSN 2184-3236, SciTePress, pages 88-95. DOI: 10.5220/0010636600003063

@conference{ijcci21,
author={Ruba Khurma and Ibrahim Aljarah and Pedro 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) - IJCCI},
year={2021},
pages={88-95},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010636600003063},
isbn={978-989-758-534-0},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computational Intelligence (IJCCI 2021) - IJCCI
TI - Harris Hawks Optimization: A Formal Analysis of Its Variants and Applications
SN - 978-989-758-534-0
IS - 2184-3236
AU - Khurma, R.
AU - Aljarah, I.
AU - Castillo, P.
PY - 2021
SP - 88
EP - 95
DO - 10.5220/0010636600003063
PB - SciTePress