Results 41 to 50 of about 2,430 (215)
Efficient and Sustainable Reconfiguration of Distribution Networks via Metaheuristic Optimization [PDF]
, 2022 Improving the efficiency and sustainability of distribution networks (DNs) is nowadays a challenging objective both for large networks and microgrids connected to the main grid.
Ahmed M. Helmi +3 more
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Complexity, 2020 In this paper, a lately proposed Harris Hawks Optimizer (HHO) is used to solve the directional overcurrent relays (DOCRs) coordination problem. To the best of the authors’ knowledge, this is the first time HHO is being used in the DOCRs coordination ...
Jiangtao Yu +2 more
doaj +1 more source
An Efficient Hybrid Classification Approach for COVID-19 Based on Harris Hawks Optimization and Salp Swarm Optimization [PDF]
, 2022 Feature selection can be defined as one of the pre-processing steps that decreases the dimensionality of a dataset by identifying the most significant attributes while also boosting the accuracy of classification.
Ali, Yossra +2 more
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Medical Feature Selection Approach Based on Generalized Normal Distribution Algorithm [PDF]
, 2021 This paper proposes a new pre-processing technique to separate the most effective features from those that might deteriorate the performance of the machine learning classifiers in terms of computational costs and classification accuracy because of their ...
Abdel-Basset, Mohamed +5 more
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Optimal energy management of micro-grid using sparrow search algorithm
Energy Reports, 2022 In this paper, a recent metaheuristic approach of sparrow search algorithm (SSA) is employed to manage the operation of microgrid (MG) in an optimal manner.
Ahmed Fathy +3 more
doaj +1 more source
A New Quadratic Binary Harris Hawk Optimization For Feature Selection [PDF]
, 2019 Harris hawk optimization (HHO) is one of the recently proposed metaheuristic algorithms that has proven to be work more effectively in several challenging optimization tasks.
Abdullah, Abdul Rahim +2 more
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Journal of Materials Research and Technology, 2019 Friction Stir Welding (FSW) has been paid more attention in recent years due to its efficiency in welding materials that are difficult to weld by conventional fusion welding methods.
Taher A. Shehabeldeen +3 more
doaj +1 more source
Rules embedded harris hawks optimizer for large-scale optimization problems
Neural Computing and Applications, 2022 Harris Hawks Optimizer (HHO) is a recent optimizer that was successfully applied for various real-world problems. However, working under large-scale problems requires an efficient exploration/exploitation balancing scheme that helps HHO to escape from possible local optima stagnation.
Hussein Samma, Ali Salem Bin Sama
openaire +3 more sources
IEEE Access, 2021 Systems of nonlinear equations are known as the basis for many models of engineering and data science, and their accurate solutions are very critical in achieving progress in these fields.
Rami Sihwail +5 more
doaj +1 more source
Predicting Arrhythmia Based on Machine Learning Using Improved Harris Hawk Algorithm [PDF]
, 2023 Arrhythmia disease is widely recognized as a prominent and lethal ailment on a global scale, resulting in a significant number of fatalities annually. The timely identification of this ailment is crucial for preserving individuals' lives.
Nitesh Sureja, et al.
core +1 more source