Metaheuristics for solving global and engineering optimization problems: review, applications, open issues and challenges

EH Houssein, MK Saeed, G Hu… - Archives of Computational …, 2024 - Springer
The greatest and fastest advances in the computing world today require researchers to
develop new problem-solving techniques capable of providing an optimal global solution …

Parameter extraction of solar photovoltaic cell and module models with metaheuristic algorithms: A review

Z Gu, G **ong, X Fu - Sustainability, 2023 - mdpi.com
As the photovoltaic (PV) market share continues to increase, accurate PV modeling will have
a massive impact on the future energy landscape. Therefore, it is imperative to convert …

L-SHADE with parameter decomposition for photovoltaic modules parameter identification under different temperature and irradiance

Q Gu, S Li, W Gong, B Ning, C Hu, Z Liao - Applied Soft Computing, 2023 - Elsevier
The performance of photovoltaic (PV) system relies on the accurate determination of
unknown parameters in PV models, such as photo-generated current, diode current, and …

Great Wall Construction Algorithm: A novel meta-heuristic algorithm for engineer problems

Z Guan, C Ren, J Niu, P Wang, Y Shang - Expert Systems with Applications, 2023 - Elsevier
In recent years, the optimization community has witnessed a surge in the popularity of
population-based optimization methods. However, many of these methods suffer from …

[HTML][HTML] Parameters identification of photovoltaic models using Lambert W-function and Newton-Raphson method collaborated with AI-based optimization techniques …

M Abdel-Basset, R Mohamed, IM Hezam… - Expert Systems with …, 2024 - Elsevier
Accurately estimating the unknown parameters of the photovoltaic (PV) models based on the
measured voltage-current data is a challenging optimization problem due to its high …

A novel improved chef-based optimization algorithm with Gaussian random walk-based diffusion process for global optimization and engineering problems

FK Onay - Mathematics and Computers in Simulation, 2023 - Elsevier
The chef-based optimization algorithm (CBOA) is a human-based method inspired by the
relationship between culinary students and chef instructors. The original CBOA does not …

SDO: A novel sled dog-inspired optimizer for solving engineering problems

G Hu, M Cheng, EH Houssein, AG Hussien… - Advanced Engineering …, 2024 - Elsevier
A new bio-inspired meta-heuristic algorithm, named Sled Dog Optimizer (SDO), is proposed
in this paper. The inspiration for SDO is primarily drawn from the various behavioral patterns …

Novel hybrid kepler optimization algorithm for parameter estimation of photovoltaic modules

R Mohamed, M Abdel-Basset, KM Sallam, IM Hezam… - Scientific Reports, 2024 - nature.com
The parameter identification problem of photovoltaic (PV) models is classified as a complex
nonlinear optimization problem that cannot be accurately solved by traditional techniques …

Multi-strategy adaptive guidance differential evolution algorithm using fitness-distance balance and opposition-based learning for constrained global optimization of …

Q Liu, C Zhang, Z Li, T Peng, Z Zhang, D Du, MS Nazir - Applied Energy, 2024 - Elsevier
It is of great significance to obtain the parameters of photovoltaic (PV) models quickly and
accurately for the efficient operation and maintenance of PV power plants. A multi-strategy …

[HTML][HTML] Comparative performance analysis of metaheuristic search algorithms in parameter extraction for various solar cell models

H Bakır - Environmental Challenges, 2023 - Elsevier
In today's technology, solar energy continues to be one of the leading renewable energy
sources in electricity production methods due to its abundance on the Earth's surface and its …