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Parameter extraction of photovoltaic models using a memory-based improved gorilla troops optimizer
Faculty
Computer Science
Year:
2022
Type of Publication:
ZU Hosted
Pages:
115134
Authors:
Karam mohamed goda
Staff Zu Site
Abstract In Staff Site
Journal:
Energy Conversion and Management Pergamon
Volume:
Keywords :
Parameter extraction , photovoltaic models using , memory-based
Abstract:
The parameter extraction of the PV model is a challenging issue owing to its multi-model and nonlinear characteristics. Moreover, these characteristics of the problem render the algorithms tackling it susceptible to being stuck in local opt
Author Related Publications
Karam mohamed goda, "An efficient teaching-learning-based optimization algorithm for parameters identification of photovoltaic models: Analysis and validations", Pergamon, 2021
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Karam mohamed goda, "BSMA: A novel metaheuristic algorithm for multi-dimensional knapsack problems: Method and comprehensive analysis", Pergamon, 2021
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Karam mohamed goda, "An Improved Binary Grey-Wolf Optimizer With Simulated Annealing for Feature Selection", IEEE, 2021
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Karam mohamed goda, "Evolutionary algorithm-based convolutional neural network for predicting heart diseases", Elsevier, 2021
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Karam mohamed goda, "An improved gaining-sharing knowledge algorithm for parameter extraction of photovoltaic models", Elsevier, 2021
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Department Related Publications
Mohammed Abdel Basset Metwally Attia, "Discrete greedy flower pollination algorithm for spherical traveling salesman problem", Springer, 2019
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Mohammed Abdel Basset Metwally Attia, "A New Hybrid Flower Pollination Algorithm for Solving Constrained Global Optimization Problems", Natural Sciences Publishing Cor., 2014
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Saber Mohamed, "Training and Testing a Self-Adaptive Multi-Operator Evolutionary Algorithm for Constrained Optimization", ELSEVEIR, 2015
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Saber Mohamed, "An Improved Self-Adaptive Differential Evolution Algorithm for Optimization Problems", IEEE, 2013
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Saber Mohamed, "Differential Evolution with Dynamic Parameters Selection for Optimization Problems", IEEE, 2014
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