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  4. Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications
 
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Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications

Journal
Electronics
ISSN
2079-9292
Date Issued
2022
Author(s)
Zitar, Raed 
Physics, Mathematics, Computer science 
Hussie, Abdelazim
Abualig, Laith
Hashim, Fatma
Amin, Mohamed
Saber, Abeer
Almotair, Khaled
Gandomi, Am
DOI
10.3390/electronics11121919
URI
https://depot.sorbonne.ae/handle/20.500.12458/1291
Abstract
The Harris hawk optimizer is a recent population-based metaheuristics algorithm that simulates the hunting behavior of hawks. This swarm-based optimizer performs the optimization procedure using a novel way of exploration and exploitation and the multiphases of search. In this review research, we focused on the applications and developments of the recent well-established robust optimizer Harris hawk optimizer (HHO) as one of the most popular swarm-based techniques of 2020. Moreover, several experiments were carried out to prove the powerfulness and effectivness of HHO compared with nine other state-of-art algorithms using Congress on Evolutionary Computation (CEC2005) and CEC2017. The literature review paper includes deep insight about possible future directions and possible ideas worth investigations regarding the new variants of the HHO algorithm and its widespread applications.
Subjects
  • Harris Hawks Optimiza...

  • metaheuristics

  • optimization problems...

  • variants

  • applications

File(s)
 Recent Advances in Harris Hawks Optimization A Comparative Study and Applications.pdf (2.57 MB)
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Acquisition Date
Oct 25, 2022
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