Slime mould algorithm: a comprehensive review of recent variants and applications
Slime Mould Algorithm (SMA) has recently received much attention from researchers
because of its simple structure, excellent optimisation capabilities, and acceptable …
because of its simple structure, excellent optimisation capabilities, and acceptable …
Slime mould algorithm: A comprehensive survey of its variants and applications
Meta-heuristic algorithms have a high position among academic researchers in various
fields, such as science and engineering, in solving optimization problems. These algorithms …
fields, such as science and engineering, in solving optimization problems. These algorithms …
[HTML][HTML] Identification of photovoltaic module parameters by implementing a novel teaching learning based optimization with unique exemplar generation scheme …
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 …
estimating the parameters based on its current—voltage relationships. However, due to the …
ANN-based swarm intelligence for predicting expansive soil swell pressure and compression strength
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) …
swell pressure and the unconfined compression strength of expansive soils (P s UCS-ES) …
Photovoltaic model parameters identification using Northern Goshawk Optimization algorithm
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 …
of new issues in today's power systems. Accurate modeling of photovoltaic modules is …
Review on parameter estimation techniques of solar photovoltaic systems
Beyond meeting power demand, switching to solar energy especially solar photovoltaic (PV)
offers many advantages like modularity, minimal maintenance, pollution free, and zero …
offers many advantages like modularity, minimal maintenance, pollution free, and zero …
Performance investigation of state-of-the-art metaheuristic techniques for parameter extraction of solar cells/module
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 …
conversion efficiency, motivating the needs of develo** more innovative approaches to …
A novel version of slime mould algorithm for global optimization and real world engineering problems: Enhanced slime mould algorithm
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 …
mode of nature's slime mould, and it has effective convergence. On the other hand, it gets …
Optimal smart inverter control for PV and BESS to improve PV hosting capacity of distribution networks using slime mould algorithm
In this study, an optimal reactive power (Volt/VAr) control of smart inverters for photovoltaic
(PV) and battery energy storage systems (BESSs) to improve the PV hosting capacity …
(PV) and battery energy storage systems (BESSs) to improve the PV hosting capacity …
Development of a novel solar PV module model for reliable power prediction under real outdoor conditions
Accurately predicting and validating the power output of commercial solar PV power plants,
remains an important research topic despite numerous studies already conducted. The …
remains an important research topic despite numerous studies already conducted. The …