Harris hawks optimization (HHO) is a newly developed swarm-based algorithm and the most
popular optimizer in the recent year, which mimics the cooperation behavior of Harris hawks …

Extracting parameters and constructing high-precision models of photovoltaic modules
through actual current-voltage data is required for simulation, control, and optimization of a …

Introduction The main feature selection methods include filter, wrapper-based, and
embedded methods. Because of its characteristics, the wrapper method must include a …

There is a new nature-inspired algorithm called salp swarm algorithm (SSA), due to its
simple framework, it has been widely used in many fields. But when handling some …

Abstract Coronavirus disease-2019 (COVID-19) has made the world more cautious about
widespread viruses, and a tragic pandemic that was caused by a novel coronavirus has …

Estimating the photovoltaic model's unknown parameters efficiently and accurately can
determine the solar cell's efficacy in converting the solar energy into electricity. For this …

The global shift toward solar energy has resulted in the advancement of research into the
manufacture of high-performance solar cells. It is critical to accurately model and identify the …

This paper introduces a comprehensive survey of a new swarm intelligence optimization
algorithm so-called Harris hawks optimization (HHO) and analyzes its major features. HHO …

Image segmentation is an essential pre-processing step and is an indispensable part of
image analysis. This paper proposes Renyi's entropy multi-threshold image segmentation …

In order to realize the performance of the PV model before being installed, it is often
indispensable to develop reliable and accurate parameter identification methods for dealing …