Slime Mould Algorithm (SMA) has recently received much attention from researchers
because of its simple structure, excellent optimisation capabilities, and acceptable …

Meta-heuristic algorithms have a high position among academic researchers in various
fields, such as science and engineering, in solving optimization problems. These algorithms …

The massive integration of photovoltaic (PV) systems into electric power grids creates a slew
of new issues in today's power systems. Accurate modeling of photovoltaic modules is …

This research suggests a robust integration of artificial neural networks (ANN) for predicting
swell pressure and the unconfined compression strength of expansive soils (P s UCS-ES) …

The performance evaluation of a Photovoltaic (PV) system heavily relies on accurately
estimating the parameters based on its current—voltage relationships. However, due to the …

Accurate prediction of carbon price is of great significance for promoting the steady
development of carbon trading market. However, as the unstable and nonlinear …

Beyond meeting power demand, switching to solar energy especially solar photovoltaic (PV)
offers many advantages like modularity, minimal maintenance, pollution free, and zero …

The utilization of photovoltaic (PV) energy has experienced a significant surge in the last few
decades, resulting in a rise in research endeavours to comprehend its workings better. One …

One of the greatest challenges for widespread utilization of solar energy is the low
conversion efficiency, motivating the needs of develo** more innovative approaches to …

The slime mould algorithm is a stochastic optimization algorithm based on the oscillation
mode of nature's slime mould, and it has effective convergence. On the other hand, it gets …