A survey on applications and variants of the cuckoo search algorithm
This paper introduces a comprehensive and exhaustive overview of the cuckoo search
algorithm (CSA). CSA is a metaheuristic swarm-based approach established by Yang and …
algorithm (CSA). CSA is a metaheuristic swarm-based approach established by Yang and …
Parameters identification of photovoltaic models using hybrid adaptive Nelder-Mead simplex algorithm based on eagle strategy
Fast accurate and reliable identification of photovoltaic (PV) model parameters based on
measured current-voltage (IV) characteristic curves is significant for the analysis, evaluation …
measured current-voltage (IV) characteristic curves is significant for the analysis, evaluation …
[PDF][PDF] A Review: extraction of solar cell modelling parameters
R Tamrakar, A Gupta - International journal of innovative research in …, 2015 - academia.edu
Energy from the sun is the best option for electricity generation as it is abundantly available
everywhere and sustainable source. Advance of Photovoltaic (PV) technology in recent …
everywhere and sustainable source. Advance of Photovoltaic (PV) technology in recent …
Parameter extraction of photovoltaic models from measured IV characteristics curves using a hybrid trust-region reflective algorithm
Accurate, efficient and reliable parameter extraction of solar photovoltaic (PV) models from
the measured current-voltage (IV) characteristic curves is important for evaluation …
the measured current-voltage (IV) characteristic curves is important for evaluation …
Nature-inspired computing and machine learning based classification approach for glaucoma in retinal fundus images
Glaucoma, commonly known as the silent thief of sight, is the second most common cause of
blindness in humans, and the number of cases is steadily increasing. Conventional …
blindness in humans, and the number of cases is steadily increasing. Conventional …
PV panel single and double diode models: Optimization of the parameters and temperature dependence
Photovoltaic (PV) cells induce current–voltage (I–V) characteristics dependent on the PV cell
technology, the thin film structure and their eventual flaws during the elaboration process …
technology, the thin film structure and their eventual flaws during the elaboration process …
A new soft computing approach for studying the wire coating dynamics with Oldroyd 8-constant fluid
In this paper, a mathematical model for wire coating in the presence of pressure type die
along with the bath of Oldroyd 8-constant fluid is presented. The model is governed by a …
along with the bath of Oldroyd 8-constant fluid is presented. The model is governed by a …
An efficient constrained global optimization algorithm with a clustering-assisted multiobjective infill criterion using Gaussian process regression for expensive …
P Jiang, Y Cheng, J Yi, J Liu - Information Sciences, 2021 - Elsevier
Constrained optimization problems trouble engineers and researchers because of their high
complexity and computational cost. When the objective function and constraints are both …
complexity and computational cost. When the objective function and constraints are both …
Full space device optimization for solar cells
Advances in computational materials have paved a way to design efficient solar cells by
identifying the optimal properties of the device layers. Conventionally, the device …
identifying the optimal properties of the device layers. Conventionally, the device …
Estimation of parameters of triple diode photovoltaic models using hybrid particle swarm and grey wolf optimization
HH Ellithy, AM Taha, HM Hasanien, MA Attia… - Sustainability, 2022 - mdpi.com
The quality of the photovoltaic (PV) cell model impacts many simulation studies for PV
systems, such as maximum power point tracking and other assessments. Moreover, due to …
systems, such as maximum power point tracking and other assessments. Moreover, due to …