A novel statistical performance evaluation of most modern optimization-based global MPPT techniques for partially shaded PV system
A novel statistical performance evaluation of most modern optimization-based global MPPT
techniques for partially shaded PV system is presented in this paper. In recent years, there …
techniques for partially shaded PV system is presented in this paper. In recent years, there …
Solving nonlinear equation systems based on evolutionary multitasking with neighborhood-based speciation differential evolution
Q Gu, S Li, Z Liao - Expert Systems with Applications, 2024 - Elsevier
Locating multiple roots of nonlinear equation systems (NESs) remains a challenging and
meaningful task in the numerical optimization community. Although a large number of NES …
meaningful task in the numerical optimization community. Although a large number of NES …
Convolutional neural network (CNN) with metaheuristic optimization algorithms for landslide susceptibility map** in Icheon, South Korea
Landslides are a geological hazard that can pose a serious threat to human health and the
environment of highlands or mountain slopes. Landslide susceptibility map** is an …
environment of highlands or mountain slopes. Landslide susceptibility map** is an …
Nonlinear equations solving with intelligent optimization algorithms: A survey
Nonlinear Equations (NEs), which may usually have multiple roots, are ubiquitous in diverse
fields. One of the main purposes of solving NEs is to locate as many roots as possible …
fields. One of the main purposes of solving NEs is to locate as many roots as possible …
Prediction of hydrogen solubility in aqueous solutions: Comparison of equations of state and advanced machine learning-metaheuristic approaches
Hydrogen is the primary carrier of renewable energy stored underground. Understanding
the solubility of hydrogen in water is critical for subsurface storage. Accurately measuring the …
the solubility of hydrogen in water is critical for subsurface storage. Accurately measuring the …
Improved salp swarm algorithm combined with chaos
MA Tawhid, AM Ibrahim - Mathematics and Computers in Simulation, 2022 - Elsevier
A recently developed metaheuristic optimization algorithm, Salp Swarm Algorithm (SSA),
has manifested its capability in solving various optimization problems and many real-life …
has manifested its capability in solving various optimization problems and many real-life …
Application of the group method of data handling (GMDH) approach for landslide susceptibility zonation using readily available spatial covariates
Landslide susceptibility (LS) map** is an essential tool for landslide risk assessment. This
study aimed to provide a new approach with better performance for landslide map** and …
study aimed to provide a new approach with better performance for landslide map** and …
Large-scale dynamic flood monitoring in an arid-zone floodplain using SAR data and hybrid machine-learning models
Although the growing number of synthetic aperture radar (SAR) satellites has increased their
application in flood-extent map**, predictive models for the analysis of flood dynamics that …
application in flood-extent map**, predictive models for the analysis of flood dynamics that …
A new optimization algorithm based on chaotic maps and golden section search method
In this paper, we introduced a practical version of golden section search algorithm to
optimize multi/uni-modal objective functions. Accordingly, this study presented a novel …
optimize multi/uni-modal objective functions. Accordingly, this study presented a novel …
Map** post-earthquake landslide susceptibility using U-Net, VGG-16, VGG-19, and metaheuristic algorithms
Landslides are among the most frequent secondary disasters caused by earthquakes in
areas prone to seismic activity. Given the necessity of assessing the current seismic …
areas prone to seismic activity. Given the necessity of assessing the current seismic …