Results 11 to 20 of about 1,122 (127)

Hierarchical Harris hawks optimizer for feature selection [PDF]

Journal of Advanced Research, 2023
Introduction: The main feature selection methods include filter, wrapper-based, and embedded methods. Because of its characteristics, the wrapper method must include a swarm intelligence algorithm, and its performance in feature selection is closely ...
Ali Asghar Heidari, Lejun Zhang, Huiling Chen   +2 more
exaly   +4 more sources

An Efficient Improved Greedy Harris Hawks Optimizer and Its Application to Feature Selection [PDF]

Entropy, 2022
To overcome the lack of flexibility of Harris Hawks Optimization (HHO) in switching between exploration and exploitation, and the low efficiency of its exploitation phase, an efficient improved greedy Harris Hawks Optimizer (IGHHO) is proposed and ...
Lewang Zou, Shihua Zhou, Xiangjun Li
doaj   +2 more sources

Augmented Harris Hawks Optimizer with Gradient-Based-Like Optimization: Inverse Design of All-Dielectric Meta-Gratings [PDF]

Biomimetics, 2023
In this paper, we introduce a new hybrid optimization method for the inverse design of metasurfaces, which combines the original Harris hawks optimizer (HHO) with a gradient-based optimization method.
Kofi Edee
doaj   +2 more sources

Hybrid Aquila optimizer–Harris Hawks optimization for CNN hyperparameter tuning in brain tumor classification [PDF]

Scientific Reports
Magnetic 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, Noor Mohd, G. Shivam, Ankur Goyal, Deepak Parashar, Rijwan Khan   +5 more
doaj   +2 more sources

A hybrid Harris Hawks optimizer for economic load dispatch problems

AEJ - Alexandria Engineering Journal, 2023
This paper proposes a hybridized version of the Harris Hawks Optimizer (HHO) with adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems.
Iyad Abu Doush, Sharif Naser Makhadmeh, Mohamed Abd El Aziz   +2 more
exaly   +3 more sources

Optimal Placement of DGs in Distribution System Using an Improved Harris Hawks Optimizer Based on Single- and Multi-Objective Approaches

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 ...
FRANCISCO Jurado, FRANCISCO Jurado, Salah Kamel   +2 more
exaly   +3 more sources

BHHO-TVS: A Binary Harris Hawks Optimizer with Time-Varying Scheme for Solving Data Classification Problems

Applied Sciences (Switzerland), 2021
Data classification is a challenging problem. Data classification is very sensitive to the noise and high dimensionality of the data. Being able to reduce the model complexity can help to improve the accuracy of the classification model performance ...
Thaer Thaher, Majdi Mafarja, Alaa Sheta   +2 more
exaly   +3 more sources

Optimized Fractional-Order Extended Kalman Filtering for IMU-Based Attitude Estimation Using the Hippopotamus Algorithm [PDF]

Sensors
The performance of the Fractional-order Extended Kalman Filter (FEKF) is often constrained by the manual tuning of its fractional-order parameter. This paper proposes HO-FEKF, a novel framework that integrates the Hippopotamus Optimization (HO) algorithm
Xiaoping Yang, Gangwang Lin, Jianqi Wang, Lieping Zhang, Jianhui Wen, Xiaoxia Li   +5 more
doaj   +2 more sources

Development and evaluation of hybrid harris hawks optimization algorithms for advanced engineering applications [PDF]

Scientific Reports
Harris Hawk Optimizer (HHO) is a recent revolutionary algorithm developed in the literature that simulates the cooperative hunting behaviour of Parabuteo Unicinctus.
Himanshu Sharma, Jumi Bharali, Manish Motghare, Krishan Arora, Cheolhee Yoon, Gyanendra Prasad Joshi   +5 more
doaj   +2 more sources

A hybrid Harris Hawks Optimization with Support Vector Regression for air quality forecasting [PDF]

Scientific Reports
This 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).
Essam H. Houssein, Meran Mohamed, Eman M. G. Younis, Waleed M. Mohamed   +3 more
doaj   +2 more sources