Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications
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 fo...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Electronics |
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| Online Access: | https://www.mdpi.com/2079-9292/11/12/1919 |
| _version_ | 1797487974719422464 |
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| author | Abdelazim G. Hussien Laith Abualigah Raed Abu Zitar Fatma A. Hashim Mohamed Amin Abeer Saber Khaled H. Almotairi Amir H. Gandomi |
| author_facet | Abdelazim G. Hussien Laith Abualigah Raed Abu Zitar Fatma A. Hashim Mohamed Amin Abeer Saber Khaled H. Almotairi Amir H. Gandomi |
| author_sort | Abdelazim G. Hussien |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T23:55:28Z |
| format | Article |
| id | doaj.art-67b40ad5ed1a4470be8678c3ad5428cb |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T23:55:28Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-67b40ad5ed1a4470be8678c3ad5428cb2023-11-23T16:25:56ZengMDPI AGElectronics2079-92922022-06-011112191910.3390/electronics11121919Recent Advances in Harris Hawks Optimization: A Comparative Study and ApplicationsAbdelazim G. Hussien0Laith Abualigah1Raed Abu Zitar2Fatma A. Hashim3Mohamed Amin4Abeer Saber5Khaled H. Almotairi6Amir H. Gandomi7Department of Computer and Information Science, Linköping University, 581 83 Linköping, SwedenFaculty of Computer Sciences and Informatics, Amman Arab University, Amman 11953, JordanSorbonne Center of Artificial Intelligence, Sorbonne University-Abu Dhabi, Abu Dhabi 38044, United Arab EmiratesFaculty of Engineering, Helwan University, Cairo 4034572, EgyptFaculty of Science, Menoufia University, Menoufia 6131567, EgyptDepartment of Computer Science, Faculty of Computers and Information, Kafr El-Sheikh University, Kafr El-Sheikh 6860404, EgyptComputer Engineering Department, Computer and Information Systems College, Umm Al-Qura University, Makkah 21955, Saudi ArabiaFaculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW 2007, AustraliaThe 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.https://www.mdpi.com/2079-9292/11/12/1919Harris hawks optimizationmetaheuristicsoptimization problemsvariantsapplications |
| spellingShingle | Abdelazim G. Hussien Laith Abualigah Raed Abu Zitar Fatma A. Hashim Mohamed Amin Abeer Saber Khaled H. Almotairi Amir H. Gandomi Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications Electronics Harris hawks optimization metaheuristics optimization problems variants applications |
| title | Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications |
| title_full | Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications |
| title_fullStr | Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications |
| title_full_unstemmed | Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications |
| title_short | Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications |
| title_sort | recent advances in harris hawks optimization a comparative study and applications |
| topic | Harris hawks optimization metaheuristics optimization problems variants applications |
| url | https://www.mdpi.com/2079-9292/11/12/1919 |
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