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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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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MethodsX, 2020 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 2019).
Saeid Khalifeh +3 more
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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
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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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Hybrid Aquila optimizer–Harris Hawks optimization for CNN hyperparameter tuning in brain tumor classification [PDF]
Scientific ReportsMagnetic resonance imaging (MRI) is hard to categorize properly in terms of interclass similarity, there is data imbalance, and sensitive clinical decision-making: but the performance of convolutional neural networks (CNNs) highly relies on effective ...
Manoj Kumar +5 more
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Adaptive Relative Reflection Harris Hawks Optimization for Global Optimization
Mathematics, 2022 The Harris Hawks optimization (HHO) is a population-based metaheuristic algorithm; however, it has low diversity and premature convergence in certain problems. This paper proposes an adaptive relative reflection HHO (ARHHO), which increases the diversity
Tingting Zou, Changyu Wang
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Dynamic Harris Hawks Optimization with Mutation Mechanism for Satellite Image Segmentation
Remote Sensing, 2019 In this paper, a novel satellite image segmentation technique based on dynamic Harris hawks optimization with a mutation mechanism (DHHO/M) is proposed.
Heming Jia +4 more
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Optimizing the Steering of Driverless Personal Mobility Pods with a Novel Differential Harris Hawks Optimization Algorithm (DHHO) and Encoder Modeling [PDF]
SensorsThis paper aims to improve the steering performance of the Ackermann personal mobility scooter based on a new meta-heuristic optimization algorithm named Differential Harris Hawks Optimization (DHHO) and the modeling of the steering encoder. The steering
Mohamed Reda +3 more
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