ReviewComputational intelligence and neuroscience2022
Harris Hawk Optimization: A Survey onVariants and Applications.
Review in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Sharpbelly Fish Optimization Algorithm: A Bio-Inspired Metaheuristic for Complex Engineering.Biomimetics (Basel, Switzerland) · 2025Article
- Harris Hawk optimization algorithm with combined perturbation strategy and its application.Scientific reports · 2025Article
- Application of improved Jellyfish search algorithm for 9-parameters cell extraction and GMPPT in PV systems.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
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Abstract
In this review, we intend to present a complete literature survey on the conception and variants of the recent successful optimization algorithm, Harris Hawk optimizer (HHO), along with an updated set of applications in well-established works. For this purpose, we first present an overview of HHO, including its logic of equations and mathematical model. Next, we focus on reviewing different variants of HHO from the available well-established literature. To provide readers a deep vision and foster the application of the HHO, we review the state-of-the-art improvements of HHO, focusing mainly on fuzzy HHO and a new intuitionistic fuzzy HHO algorithm. We also review the applications of HHO in enhancing machine learning operations and in tackling engineering optimization problems. This survey can cover different aspects of HHO and its future applications to provide a basis for future research in the development of swarm intelligence paths and the use of HHO for real-world problems.
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