loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.201.95.84

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 - ECTA, ISBN 978-989-758-534-0; ISSN 2184-2825, 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 - ECTA,},
year={2021},
pages={88-95},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010636600003063},
isbn={978-989-758-534-0},
issn={2184-2825},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computational Intelligence - ECTA,
TI - Harris Hawks Optimization: A Formal Analysis of Its Variants and Applications
SN - 978-989-758-534-0
IS - 2184-2825
AU - Khurma, R.
AU - Aljarah, I.
AU - Castillo, P.
PY - 2021
SP - 88
EP - 95
DO - 10.5220/0010636600003063