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

Hussien, Abdelazim (author)
Linköpings universitet,Programvara och system,Tekniska fakulteten,Fayoum Univ, Egypt
Abualigah, Laith (author)
Amman Arab Univ, Jordan
Abu Zitar, Raed (author)
Sorbonne Univ Abu Dhabi, U Arab Emirates
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Hashim, Fatma A. (author)
Helwan Univ, Egypt
Amin, Mohamed (author)
Menoufia Univ, Egypt
Saber, Abeer (author)
Kafr El Sheikh Univ, Egypt
Almotairi, Khaled H. (author)
Umm Al Qura Univ, Saudi Arabia
Gandomi, Amir H. (author)
Univ Technol Sydney, Australia
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 (creator_code:org_t)
2022-06-20
2022
English.
In: Electronics. - : MDPI. - 2079-9292. ; 11:12
  • Research review (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)

Keyword

Harris hawks optimization; metaheuristics; optimization problems; variants; applications

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