This paper introduces a comprehensive survey of a new population-based algorithm so-
called gradient-based optimizer (GBO) and analyzes its major features. GBO considers as …

Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …

Abstract The Particle Swarm Optimization technique (PSO) is widely used in practical
applications due to its flexibility and strong optimization performance. However, like other …

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 …

The accurate arithmetical models of solar photovoltaic (PV) modules plays a vital role in the
performance, operation, and control of the PV systems as a part of renewable generation …

The parameter extraction of PV models is a nonlinear and multi-model optimization problem.
However, it is essential to correctly estimate the parameters of the PV units due to their …

The accurate estimation of model parameters is significant for the simulation, evaluation,
control, and optimization of photovoltaic systems. Recently, meta-heuristic algorithms …

Integration of photovoltaic (PV) systems, desalination technologies, and Artificial Intelligence
(AI) combined with Machine Learning (ML) has introduced a new era of remarkable …

How to effectively realize the simulation, evaluation, and control of the photovoltaic (PV)
system established on the actual measured voltage and current PV cells and module data …

In many applications, selecting the optimal features is a difficult task. Numerous In
optimization problems, eg, feature selection (FS) problem, have been solved using …