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 +1 more source
Comparative Analysis of Deep Learning and Swarm-Optimized Random Forest for Groundwater Spring Potential Identification in Tropical Regions [PDF]
, 2023 Identifying areas with high groundwater spring potential is crucial as it enables better decision-making concerning water supply, sustainable development, and the protection of sensitive ecosystems; therefore, it is necessary to predict the groundwater ...
Hoa, Pham Viet +3 more
core +1 more source
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
openaire +2 more sources
Estimation of coverage and energy in bio inspired wireless sensors using Harris hawk algorithm [PDF]
, 2023 Wireless sensor networks have various sensors which are wide spread and also equipped with supplies. For the deployment sensor nodes are used for capturing the information, the region of interest is selected and the nodes are deployed.
Periyasamy, Kavipriya +1 more
core +3 more sources
The concept of direct adaptive control for improving voltage and frequency regulation loops in several power system applications [PDF]
, 2022 This article presents the idea of direct adaptive control for several power system applications such as the Egyptian power system (EPS), a three-zone interconnected microgrid (MG), and a single machine connected to the grid (SMIB).
Abubakr, Hussein +3 more
core +2 more sources
An Efficient Improved Harris Hawks Optimizer and Its Application to Form Deviation-Zone Evaluation
Sensors, 2023 Evaluation of the deviation zone based on discrete measured points is crucial for quality control in manufacturing and metrology. However, deviation-zone evaluation is a highly nonlinear problem that is difficult to solve using traditional numerical ...
Guangshuai Liu +5 more
doaj +1 more source
An optimal scheduling method in iot-fog-cloud network using combination of aquila optimizer and african vultures optimization [PDF]
, 2023 Today, fog and cloud computing environments can be used to further develop the Internet of Things (IoT). In such environments, task scheduling is very efficient for executing user requests, and the optimal scheduling of IoT task requests increases the ...
Alnowibet, Khalid +4 more
core +2 more sources
Recent meta-heuristic algorithms with a novel premature covergence method for determining the parameters of pv cells and modules [PDF]
, 2021 Currently, the incorporation of solar panels in many applications is a booming trend, which necessitates accurate simulations and analysis of their performance under different operating conditions for further decision making.
Abdel-Basset, Mohamed +4 more
core +1 more source
Future Internet, 2022 As sensors are distributed among wireless sensor networks (WSNs), ensuring that the batteries and processing power last for a long time, to improve energy consumption and extend the lifetime of the WSN, is a significant challenge in the design of network
Ashraf A. Taha +3 more
doaj +1 more source
Applied Sciences, 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 ...
Hamouda Chantar +4 more
doaj +1 more source