Results 11 to 20 of about 4,620 (232)

A novel generalized normal distribution optimizer with elite oppositional based learning for optimization of mechanical engineering problems [PDF]

Materials Testing, 2023
Abstract Optimization of engineering discipline problems are quite a challenging task as they carry design parameters and various constraints. Metaheuristic algorithms can able to handle those complex problems and realize the global optimum solution for engineering problems.
Sultan Ylldlz, BETÜL SULTAN, Riza Yildiz, ALİ RIZA, Bureerat, Sujin, Sait, Sadiq M., Kumar, Sumit, Pholdee, Nantiwat, Mehta, Pranav   +6 more
core   +5 more sources

Parameter estimation in single-phase transformers via the generalized normal distribution optimizer while considering voltage and current measurements

Results in Engineering
This research addresses, from a perspective of metaheuristic optimization, the problem regarding parametric estimation in single-phase transformers while considering voltage and current measures at the terminals of the transformer and weighing linear ...
Juan David Camelo-Daza, Diego Noel Betancourt-Alonso, Oscar Danilo Montoya, Ernesto Gómez-Vargas   +3 more
doaj   +4 more sources

BU-DLNet: Breast Ultrasonography-Based Cancer Detection Using Deep-Learning Network Selection and Feature Optimization [PDF]

Bioengineering, 2023
Early detection of breast lesions and distinguishing between malignant and benign lesions are critical for breast cancer (BC) prognosis. Breast ultrasonography (BU) is an important radiological imaging modality for the diagnosis of BC.
Amad Zafar, Jawad Tanveer, Muhammad Umair Ali, Seung Won Lee   +3 more
doaj   +2 more sources

Binary Simulated Normal Distribution Optimizer for feature selection: Theory and application in COVID-19 datasets [PDF]

Expert Systems With Applications, 2022
Classification accuracy achieved by a machine learning technique depends on the feature set used in the learning process. However, it is often found that all the features extracted by some means for a particular task do not contribute to the ...
Sarkar, Ram, Sheikh, Khalid Hassan, Ahmed, Shameem, Mirjalili, Seyedali   +3 more
core   +3 more sources

Intelligent Active and Reactive Power Management for Wind-Based Distributed Generation in Microgrids via Advanced Metaheuristic Optimization [PDF]

Applied System Innovation
This research evaluates the performance of six metaheuristic algorithms in the active and reactive power management of wind turbines (WTs) integrated into an AC microgrid (MG).
Rubén Iván Bolaños, Héctor Pinto Vega, Luis Fernando Grisales-Noreña, Oscar Danilo Montoya, Jesús C. Hernández   +4 more
doaj   +3 more sources

Cost Optimization of AC Microgrids in Grid-Connected and Isolated Modes Using a Population-Based Genetic Algorithm for Energy Management of Distributed Wind Turbines [PDF]

Mathematics
This research investigates the effectiveness of four metaheuristic algorithms, the Population-Based Genetic Algorithm, Particle Swarm Optimization, JAYA, and Generalized Normal Distribution Optimizer, for managing the energy production of wind-based ...
Luis Fernando Grisales-Noreña, Héctor Pinto Vega, Oscar Danilo Montoya, Vanessa Botero-Gómez, Daniel Sanin-Villa   +4 more
doaj   +2 more sources

Artificial intelligence assisted common maternal fetal planes prediction from ultrasound images based on information fusion of customized convolutional neural networks [PDF]

Frontiers in Medicine
Ultrasound imaging is frequently employed to aid with fetal development. It benefits from being real-time, inexpensive, non-intrusive, and simple. Artificial intelligence is becoming increasingly significant in medical imaging and can assist in resolving
Fatima Rauf, Muhammad Attique Khan, Hussain M. Albarakati, Kiran Jabeen, Shrooq Alsenan, Ameer Hamza, Sokea Teng, Yunyoung Nam   +7 more
doaj   +3 more sources

Optimizing economic and operational performance in AC microgrids: An intelligent energy management strategy for BESS using the Generalized Normal Distribution Optimizer

Results in Engineering
In developing countries, Non-Interconnected Zones often depend on costly, environmentally unsustainable, diesel-based power systems. These systems typically experience unbalanced load conditions, limited voltage regulation, and difficulty accommodating renewable energy sources.
Llanos-Pino, Marco Alonso, Grisales Noreña, Luis Fernando, Sanin-Villa, Daniel, Montoya Giraldo, Oscar Danilo, Hernandez, Jesus C.   +4 more
openaire   +4 more sources

Truss optimization with natural frequency constraints using generalized normal distribution optimization

Applied Intelligence, 2022
The newly proposed Generalized Normal Distribution Optimization (GNDO) algorithm is used to design the truss structures with optimal weight. All trusses optimized have frequency constraints, which make them very challenging optimization problems. A large number of locally optimal solutions and non-convexity of search space make them difficult to solve,
Nima Khodadadi, Seyedali Mirjalili
openaire   +2 more sources

Efficient Integration of Fixed-Step Capacitor Banks and D-STATCOMs in Radial and Meshed Distribution Networks Considering Daily Operation Curves

Energies, 2023
The problem regarding the optimal integration of efficient reactive power compensation in radial and meshed distribution networks using fixed-step capacitor banks and distribution static compensators (D-STATCOMs) is addressed in this research paper by ...
Oscar Danilo Montoya, Walter Gil-González, Jesus C. Hernández   +2 more
doaj   +1 more source