Results 81 to 90 of about 39,754 (281)

Identifying Faults in Power Transformers Based on Machine‐Learning Algorithms Compared With Other Techniques

Energy Science &Engineering, EarlyView.
General framework of ensemble learning technique for transformer fault diagnostics compared with traditional dissolved gas analysis methods. ABSTRACT This paper implemented a comprehensive variety of modern machine‐learning techniques, which were demonstrated to be effective in handling complex tabular data, generating accurate predictions, and ...
Osama E. Gouda, Nourhan Ramadan, Matti Lehtonen, Mohamed M. F. Darwish   +3 more
wiley   +1 more source

Binary Grey Wolf Optimizer with Mutation and Adaptive K-nearest Neighbour for Feature Selection in Parkinson's Disease Diagnosis

, 2022
Disease identification and classification relies on Feature Selection (FS) to find the relevant features for accurate medical diagnosis. FS is an optimization problem solved with the help of stochastic optimization strategies.
Palanisamy, Natesan, Rajammal, Rajalaxmi Ramasamy, Ekambaram, Gothai, Mirjalili, Seyedali   +3 more
core   +1 more source

Applying Improved Grey Wolf Optimizer Algorithm Integrated with Cuckoo Search to Feature Selection for Network Intrusion Detection

工程科学与技术, 2018
In order to solve the problem of low detection efficiency and low accuracy caused by feature redundancy in current network intrusion detection technology, an improved Grey Wolf Optimizer algorithm integrated with Cuckoo Search was applied to feature ...
Hui XU, Yingchun FU, Xiang LIU, Ce FANG, Jun SU   +4 more
doaj  

A Hybrid Discrete Grey Wolf Optimizer to Solve Weapon Target Assignment Problems

Discrete Dynamics in Nature and Society, 2018
We propose a hybrid discrete grey wolf optimizer (HDGWO) in this paper to solve the weapon target assignment (WTA) problem, a kind of nonlinear integer programming problems.
Jun Wang, Pengcheng Luo, Xinwu Hu, Xiaonan Zhang   +3 more
doaj   +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 grey wolf optimization approach for evaluating the engine responses of various biodiesel blends in an internal combustion engine

Mağallaẗ Al-kūfaẗ Al-handasiyyaẗ
The knowledge of the exact thresholds of parameters in the diesel engines, during combustion, is essential to simulate the combustion process, establish parametric values, reduce cost and predict exhaust emissions.
Chukwuka Prosper Ozule, Adeyinka Oluwo, Nehemiah Sabinus Alozie, John Rajan, Swaminathan Jose, Sunday Ayoola Oke , Ugochukwu Sixtus Nwankiti   +6 more
doaj   +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

Optimization of Hydrostatic Thrust Bearing Using Enhanced Grey Wolf Optimizer

, 2019
The need for precise mechanical and tribological properties of the hydrostatic bearings has made them an interesting study topic for optimisation studies.
Sahin, Ismail and Dorterler, Murat and Gokce, Harun
core   +2 more sources

Optimization of femtosecond fiber laser pulses with selected machine-learning algorithms [PDF]

EPJ Web of Conferences
We investigate the possibility of optimization of ultrashort laser pulses by spectral phase modulation using machine learning algorithms. We compare the efficiency of two algorithms: Grey Wolf Optimizer and Genetic Algorithm.
Kwaśny Alicja, Krakowski Mikołaj, Soboń Grzegorz   +2 more
doaj   +1 more source

Daily Residential Natural Gas Demand Forecasting Using Machine Learning Regression: Comparative Evaluation With a Case Study in Qazvin Province, Iran

Energy Science &Engineering, EarlyView.
This graphical abstract summarizes the proposed framework for improving short‐term residential natural gas consumption forecasting by integrating a novel socioeconomic indicator, the subscription growth ratio (SGR), with conventional meteorological variables.
Ali Pirzad, Mostafa Khanzadi
wiley   +1 more source