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Recent Advances in ...
Recent Advances in Harris Hawks Optimization : A Comparative Study and Applications
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- Hussien, Abdelazim (author)
- Linköpings universitet,Programvara och system,Tekniska fakulteten,Fayoum Univ, Egypt
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- Abualigah, Laith (author)
- Amman Arab Univ, Jordan
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- Abu Zitar, Raed (author)
- Sorbonne Univ Abu Dhabi, U Arab Emirates
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- Hashim, Fatma A. (author)
- Helwan Univ, Egypt
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- Amin, Mohamed (author)
- Menoufia Univ, Egypt
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- Saber, Abeer (author)
- Kafr El Sheikh Univ, Egypt
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- Almotairi, Khaled H. (author)
- Umm Al Qura Univ, Saudi Arabia
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- Gandomi, Amir H. (author)
- Univ Technol Sydney, Australia
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(creator_code:org_t)
- 2022-06-20
- 2022
- English.
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In: Electronics. - : MDPI. - 2079-9292. ; 11:12
- Related links:
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https://liu.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.3...
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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
Publication and Content Type
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