Integrated improved Harris hawks optimization for global and engineering optimization [PDF]
Scientific ReportsThe original Harris hawks optimization (HHO) algorithm has the problems of unstable optimization effect and easy to fall into stagnation. However, most of the improved HHO algorithms can not effectively improve the ability of the algorithm to jump out of
Chengtian Ouyang +5 more
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Harris hawks optimization: Algorithm and applications [PDF]
Future Generation Computer Systems, 2019 In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO). The main inspiration of HHO is the cooperative behavior and chasing style of Harris’ hawks in nature called surprise
Ali Asghar Heidari +5 more
semanticscholar +5 more sources
An Improved Harris Hawks Optimization Algorithm and Its Application in Grid Map Path Planning [PDF]
Biomimetics, 2023 Aimed at the problems of the Harris Hawks Optimization (HHO) algorithm, including the non-origin symmetric interval update position out-of-bounds rate, low search efficiency, slow convergence speed, and low precision, an Improved Harris Hawks ...
Lin Huang, Qiang Fu, Nan Tong
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IEEE Access, 2020 Harris Hawks Optimization (HHO) algorithm is a new metaheuristic algorithm, inspired by the cooperative behavior and chasing style of Harris' Hawks in nature called surprise pounce.
Zenab Mohamed Elgamal +4 more
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IEEE Access, 2020 In this paper, an efficient optimization technique called Chaotic Harris Hawks optimization (CHHO) is proposed and applied for estimating the accurate operating parameters of proton exchange membrane fuel cell (PEMFC), which simulate and mimic its ...
Ahmed S. Menesy +4 more
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Optimal Placement of DGs in Distribution System Using an Improved Harris Hawks Optimizer Based on Single- and Multi-Objective Approaches [PDF]
IEEE Access, 2020 In this paper, improved single- and multi-objective Harris Hawks Optimization algorithms, called IHHO and MOIHHO, respectively are proposed and applied for determining the optimal placement of distribution generation (DG) in the radial distribution ...
Ali Selim +3 more
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Alzheimer's Prediction Methods with Harris Hawks Optimization (HHO) and Deep Learning-Based Approach Using an MLP-LSTM Hybrid Network. [PDF]
Diagnostics (Basel)Background/Objective: Alzheimer’s disease is a progressive brain syndrome causing cognitive decline and, ultimately, death. Early diagnosis is essential for timely medical intervention, with MRI medical imaging serving as a primary diagnostic tool ...
Ghadami R, Rahebi J.
europepmc +2 more sources
Harris’ Hawks Optimization-Tuned Density-based Clustering
Sukkur IBA Journal of Emerging Technologies, 2023 Clustering is a machine learning technique that groups data samples based on similarity and identifies outliers with distinct features. Density-based clustering outperforms other methods because it can handle arbitrary shapes of clustering distributions.
Kashif Talpur +5 more
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Vehicle routing problems based on Harris Hawks optimization [PDF]
Journal of Big Data, 2022 The vehicle routing problem (VRP) is one of the challenging problems in optimization and can be described as combinatorial optimization and NP-hard problem.
Mohammed Alweshah +6 more
doaj +2 more sources
A hybrid Harris Hawks Optimization with Support Vector Regression for air quality forecasting. [PDF]
Sci RepThis paper proposes a hybridized model for air quality forecasting that combines the Support Vector Regression (SVR) method with Harris Hawks Optimization (HHO) called (HHO-SVR).
Houssein EH +3 more
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