Suchergebnisse - gradient-based optimizer and moth–flame optimization algorithm*

Optimal Power Flow Analysis Based on Hybrid Gradient-Based Optimizer with Moth–Flame Optimization Algorithm Considering Optimal Placement and Sizing of FACTS/Wind Power von Mohamed, Amal Amin, Kamel, Salah, Hassan, Mohamed H., Mosaad, Mohamed I., Aljohani, Mansour

“… Adding unreliable and intermittent renewable energy sources to the electrical grid increase and complicates the OPF issue, which calls for using modern optimization techniques to solve this issue …”
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A modified weighted mean of vectors optimizer for Chronic Kidney disease classification von Houssein, Essam H., Sayed, Awny

“… in kidney function over time, particularly in those with diabetes and high blood pressure. Metaheuristic (MH) algorithms based machine learning classifiers have become reliable for medical treatment …”
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Optimal parameter estimation strategy of PEM fuel cell using gradient-based optimizer von Rezk, Hegazy, Ferahtia, Seydali, Djeroui, Ali, Chouder, Aissa, Houari, Azeddine, Machmoum, Mohamed, Abdelkareem, Mohammad Ali

“… ), moth-flame optimization algorithm (MFO), sine cosine algorithm (SCA), and Harris's hawk optimizer (HHO …”
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An Efficient Chaotic Gradient-Based Optimizer for Feature Selection von Abd Elminaam, Diaa Salama, Ibrahim, Shimaa Abdallah, Houssein, Essam H., Elsayed, Salah M.

“… , feature selection (FS) problem, have been solved using optimization algorithms. In this paper, the most discriminating features were chosen using a new chaotic gradient-based optimizer (CGBO …”
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Gaussian bare‐bones gradient‐based optimization: Towards mitigating the performance concerns von Qiao, Zenglin, Shan, Weifeng, Jiang, Nan, Heidari, Ali Asghar, Chen, Huiling, Teng, Yuntian, Turabieh, Hamza, Mafarja, Majdi

“… Gradient‐based optimizer (GBO) is a metaphor‐free mathematic‐based algorithm proposed in recent years …”
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GBO-kNN a new framework for enhancing the performance of ligand-based virtual screening for drug discovery von Mostafa, Aya A., Alhossary, Amr A., Salem, Sameh A., Mohamed, Amr E.

“… It consists of 1) an optimizer: Gradient-Based Optimizer …”
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Evaluation of modified fire hawk optimizer for new modification in double diode solar cell model von Said, Mokhtar, Ismaeel, Alaa A. K., El-Rifaie, Ali M., Hashim, Fatma A., Bouaouda, Anas, Hassan, Amir Y., Abdelaziz, Almoataz Y., Houssein, Essam H.

“… As a result, meta-heuristic algorithms have drawn significant attention for their exceptional performance in extracting characteristics from solar cell models …”
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An overview and comparative analysis of recent bio-inspired optimization techniques for wind integrated multi-objective power dispatch von Dubey, Hari Mohan, Pandit, Manjaree, Panigrahi, B.K.

“… These techniques present a tough competition to traditional numerical methods which suffer from convexity and continuity assumptions and which normally employ a gradient based search …”
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Evaluation of Weighted Mean of Vectors Algorithm for Identification of Solar Cell Parameters von Hassan, Amir Y., Ismaeel, Alaa A. K., Said, Mokhtar, Ghoniem, Rania M., Deb, Sanchari, Elsayed, Abeer Galal

“… The models used in this work are triple-diode, double-diode, and single-diode solar cells. A novel optimization method called weighted mean of vectors (INFO …”
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Enhancing Residential Electricity Consumption Forecasting with Meta-Heuristic Algorithms von Milad Mohebbi, Behnam Sobhani

“… This study explores optimizing Artificial Neural Network (ANN) parameters using meta-heuristic algorithms instead of traditional gradient-based methods to predict residential electricity consumption across different seasons …”
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Hyper-heuristic strategies for optimal power flow problem with FACTS devices allocation in wind power integrated system von Sulaiman, Mohd Herwan, Mustaffa, Zuriani

“… •MFO, BMO, TLBO, and GBO as LLHs achieve effective optimization in IEEE 30 bus system …”
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