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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Bibliographic Details
Published in:Electronics (Basel) 2022, Vol.11 (12), p.1919
Main Authors: Hussien, Abdelazim G., Abualigah, Laith, Abu Zitar, Raed, Hashim, Fatma A., Amin, Mohamed, Saber, Abeer, Almotairi, Khaled H., Gandomi, Amir H.
Format: Article
Language:English
Subjects:
Artificial Intelligence
Behavior
Comparative studies
Computer Science
Evolutionary algorithms
Evolutionary computation
Exploitation
Genetic algorithms
Heuristic methods
Literature reviews
Methods
Optimization
Optimization algorithms
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Summary: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.
ISSN:2079-9292
2079-9292
DOI:10.3390/electronics11121919