Results 51 to 60 of about 5,692 (245)

Application of soft computing algorithms for hybrid modular multilevel inverters

Measurement: Sensors
This study utilized Harris Hawk optimization to analyze the harmonic distortions of a symmetric capacitor based multilevel converter. The proposed multilevel converter uses identical and symmetric DC sources in its input.
Devineni Gireesh Kumar, Nagineni Venkata Sireesha, Neerudi Bhoopal, Ranjith Kumar Gatla, Hossam Kotb, Kareem M. AboRas, Ali Elrashidi, Mohammed Alqarni, Yazeed Yasin Ghadi, Adel Oubelaid   +9 more
doaj   +1 more source

Optimized Parameter Extraction in Triple Diode Solar PV Models Using Kookaburra‐based Dwarf Mongoose Approach

Energy Science &Engineering, EarlyView.
ABSTRACT Improving photovoltaics (PV) system performance through simulation requires accurate PV models. The nonlinear relationship between current and voltage, coupled with incomplete manufacturer data, presents a significant challenge in parameter estimation.
Chappani Sankaran Sundar Ganesh, Chandrasekaran Kumar, Thangavel Swaminathan Sivakumaran, Sourav Barua   +3 more
wiley   +1 more source

A multi-strategy upgraded Harris Hawk optimization algorithm for solving nonlinear inequality constrained optimization problems [PDF]

This study presented an upgraded version of the Harris Hawk optimization algorithm (UHHO) designed to overcome the inherent limitations of the original algorithm, especially in solving nonlinear constrained optimization problems that tend to converge ...
Chuanjun Yin, Guolin Huang, Juhe Sun, Li Wang, Ning Ma   +4 more
core   +1 more source

Comparative Assessment and Benchmarking of Metaheuristic Algorithms for Dynamic Photovoltaic Array Reconfiguration Under Diverse Shading Environments

Energy Science &Engineering, EarlyView.
ABSTRACT The solar photovoltaic (PV) installations, which are essential for renewable energy systems, are vulnerable to partial shading, resulting in considerable power losses and operational inefficiencies. The dynamic reconfiguration of PV arrays has become an effective strategy to mitigate these effects by adaptively modifying the array topology to ...
Manoharan Premkumar, Ravichandran Sowmya, Jagarapu S. V. Siva Kumar, Mustafa Abdullah   +3 more
wiley   +1 more source

A Multi-Restart Dynamic Harris Hawk Optimization Algorithm for the Economic Load Dispatch Problem

IEEE Access, 2021
In this study, we propose an algorithm based on a recently proposed metaheuristic called the Harris Hawk Optimization (HHO). We utilized a dynamic control strategy to enhance the exploration capability.
Tan Nhat Pham, Ly Van Tran, Son Vu Truong Dao   +2 more
doaj   +1 more source

Penguin search with Harris-Hawk optimization algorithm to improve clustering performance in wireless network [PDF]

Integrating optimal search algorithm concepts across the wireless core and cluster structure enables next-generation wireless networks to effectively provide reliable low-delay communications and connectivity for internet of things (IoT) devices.
Sabapathy Ranganathan, Chitra, Sampathrajan, Rajeshkumar   +1 more
core   +2 more sources

Modified Harris Hawks Optimizer for Solving Machine Scheduling Problems [PDF]

Symmetry, 2020
Scheduling can be described as a decision-making process. It is applied in various applications, such as manufacturing, airports, and information processing systems. More so, the presence of symmetry is common in certain types of scheduling problems. There are three types of parallel machine scheduling problems (PMSP): uniform, identical, and unrelated
Hamza Jouhari, Deming Lei, Mohammed Abdulaziz Aide Al-qaness, Mohamed E. Abd Elaziz, Robertas Damasevicius, Marcin Korytkowski, Ahmed A. Ewees   +6 more
openaire   +1 more source

Hybrid Osprey‐Salp Swarm Optimization Algorithm for Single and Multiobjective Optimal Power Flow in Smart Grids With Renewable Energy Integration

Energy Science &Engineering, EarlyView.
The proposed hybrid osprey‐salp swarm optimization algorithm addresses optimal power flow (OPF) problems in smart grids incorporating solar, hydro, and thermal generators. The algorithm is validated on Institute of Electrical and Electronics Engineers 30‐, 57‐, and 118‐bus test systems across five single and multiobjective OPF scenarios.
Mujtaba Ali, Muhammad Yaqoob Javed, Aamer Bilal Asghar, Gang Xiong, Krzysztof Ejsmont, Xiaoli Liu   +5 more
wiley   +1 more source

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 of standard HHO, alleviates the problem of stagnation of local optimal solutions, and improves the ...
Tingting Zou, Changyu Wang
openaire   +2 more sources

GABA+‐Edited Magnetic Resonance Spectroscopy Deep Learning Quality Assessment Framework

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Motivated by the need to improve GABA+‐edited magnetic resonance spectroscopy (MRS) quality, we developed a three‐module framework to improve transient averaging based on quality. We hypothesized that training a deep learning (DL) model to differentiate spectrum quality could improve transient averaging compared to traditional ...
Hanna Bugler, Roberto Souza, Ashley D. Harris   +2 more
wiley   +1 more source