Improving Harris hawks optimization algorithm for hyperparameters estimation and feature selection in v‐support vector regression based on opposition‐based learning
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Chemometrics"
DOI: 10.1002/cem.3311
Abstract: Many real problems have been solved by support vector regression, especially v‐support vector regression (v‐SVR), but there are hyperparameters that usually needed to tune. In addition, v‐SVR cannot perform feature selection. Nature‐inspired algorithms have been… read more here.
Keywords: vector regression; feature; feature selection; support vector ... See more keywords
Use of Apple Airtag to track urban wildlife: Proof of concept with Harris's hawks
Sign Up to like & getrecommendations! Published in 2025 at "Wildlife Society Bulletin"
DOI: 10.1002/wsb.1599
Abstract: Accurate tracking of the movement of wildlife is important for understanding the behavior, spatial use, and resource selection of a species. While traditional methods like Very High Frequency (VHF) transmitters have been widely used, newer… read more here.
Keywords: use; harris hawks; apple; wildlife ... See more keywords
First-order reliability method based on Harris Hawks Optimization for high-dimensional reliability analysis
Sign Up to like & getrecommendations! Published in 2020 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-020-02587-3
Abstract: The first-order reliability method (FORM) is a prevalent method in the structural reliability community. However, when solving the high-dimensional problem with a highly nonlinear limit state function, FORM usually encounters non-convergence or divergence. In this… read more here.
Keywords: high dimensional; dimensional reliability; harris hawks; reliability ... See more keywords
Boosted binary Harris hawks optimizer and feature selection
Sign Up to like & getrecommendations! Published in 2020 at "Engineering with Computers"
DOI: 10.1007/s00366-020-01028-5
Abstract: Feature selection is a required preprocess stage in most of the data mining tasks. This paper presents an improved Harris hawks optimization (HHO) to find high-quality solutions for global optimization and feature selection tasks. This… read more here.
Keywords: feature selection; ihho; selection; hho ... See more keywords
A hybrid Harris Hawks optimization algorithm with simulated annealing for feature selection
Sign Up to like & getrecommendations! Published in 2020 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-020-09860-3
Abstract: The significant growth of modern technology and smart systems has left a massive production of big data. Not only are the dimensional problems that face the big data, but there are also other emerging problems… read more here.
Keywords: feature selection; hawks optimization; harris hawks; optimization algorithm ... See more keywords
Optimal photovoltaic array reconfiguration for alleviating the partial shading influence based on a modified harris hawks optimizer
Sign Up to like & getrecommendations! Published in 2020 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2020.112470
Abstract: Abstract Mismatch power loss is the unfortunate problem created as a result of the partial shading phenomenon. To relieve the entire photovoltaic system from this issue, reconfiguring the photovoltaic modules of the considered photovoltaic array… read more here.
Keywords: photovoltaic array; power; harris hawks; modified harris ... See more keywords
Orthogonally adapted Harris hawks optimization for parameter estimation of photovoltaic models
Sign Up to like & getrecommendations! Published in 2020 at "Energy"
DOI: 10.1016/j.energy.2020.117804
Abstract: Extracting parameters and constructing high-precision models of photovoltaic modules through actual current-voltage data is required for simulation, control, and optimization of a photovoltaic system. Because of the application of such problems, the identification of unknown… read more here.
Keywords: parameter estimation; hawks optimization; optimization; harris hawks ... See more keywords
Harris hawks optimization algorithm for model order reduction of interconnected wind turbines.
Sign Up to like & getrecommendations! Published in 2021 at "ISA transactions"
DOI: 10.1016/j.isatra.2021.09.019
Abstract: This paper illustrates the investigation of higher-scale interconnected wind turbine to realize its analytical design and simulation performance in terms of reduced order model. The present research is aimed to visualize the efficacy of the… read more here.
Keywords: methodology; order; model; interconnected wind ... See more keywords
Whale Harris hawks optimization based deep learning classifier for brain tumor detection using MRI images
Sign Up to like & getrecommendations! Published in 2020 at "Journal of King Saud University - Computer and Information Sciences"
DOI: 10.1016/j.jksuci.2020.08.006
Abstract: Abstract The detection of Brain cancer is an essential process, which is based on the clinician’s knowledge and experience. An automatic tumor classification model is important to handle radiologists to detect the brain tumors. However,… read more here.
Keywords: detection; hawks optimization; harris hawks; brain ... See more keywords
Optimization of water distribution of network systems using the Harris Hawks optimization algorithm (Case study: Homashahr city)
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DOI: 10.1016/j.mex.2020.100948
Abstract: In this article applies the Harris Hawks Optimization Algorithm for optimization of the water distribution network of the Homashahr located in Iran for a period of one month (from 30 September 2018 to 30 October… read more here.
Keywords: hawks optimization; water; water distribution; optimization ... See more keywords
Hybrid Harris hawks-optimized random forest model for detecting multi-element geochemical anomalies related to mineralization
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-07534-0
Abstract: Reliable recognition of geochemical anomalies linked to ore deposits is one of the most significant challenges in mineral exploration. Several advanced machine learning (AML) algorithms have recently been applied to recognize multi-element geochemical anomalies. Performance… read more here.
Keywords: multi element; geochemical anomalies; mineralization; model ... See more keywords