A review on metaheuristic algorithms: recent trends, benchmarking and applications
Metaheuristic algorithms can be summarized as a form of stochastic optimization algorithm
which does not depend on the surface gradient for optimization. These algorithms draw …
which does not depend on the surface gradient for optimization. These algorithms draw …
Nature inspired methods and their industry applications—Swarm intelligence algorithms
In this paper, we present the swarm intelligence (SI) concept and mention some
metaheuristics belonging to the SI. We present the particle swarm optimization (PSO) …
metaheuristics belonging to the SI. We present the particle swarm optimization (PSO) …
Archimedes optimization algorithm (AOA)-Based global maximum power point tracking for a photovoltaic system under partial and complex shading conditions
During partial shading conditions (PSCs), the efficiency of power transfer in a Photovoltaic
(PV) system decreases significantly, which can result in the formation of hotspots in the PV …
(PV) system decreases significantly, which can result in the formation of hotspots in the PV …
[HTML][HTML] A hybrid RSA-IPA optimizer for designing an artificial neural network to study the Jeffery-Hamel blood flow with copper nanoparticles: Application to stenotic …
In this study, the effects of copper nanoparticles are taken into account to create a new
hybrid metaheuristic for solving the nonlinear MHD Jeffery-Hamel blood flow problem. Since …
hybrid metaheuristic for solving the nonlinear MHD Jeffery-Hamel blood flow problem. Since …
A particle swarm optimization–adaptive weighted delay velocity-based fast-converging maximum power point tracking algorithm for solar PV generation system
Photovoltaic (PV) arrays have a considerably lower output when exposed to partial
shadowing (PS). Whilst adding bypass diodes to the output reduces PS's impact, this …
shadowing (PS). Whilst adding bypass diodes to the output reduces PS's impact, this …
A hybrid machine learning algorithm for studying magnetized nanofluid flow containing gyrotactic microorganisms via a vertically inclined stretching surface
The novelty of the present work is to acquire continuous functions as solutions rather than
the discrete ones that traditional numerical methods generally produce and to minimize …
the discrete ones that traditional numerical methods generally produce and to minimize …
Maximum power point tracking for PV panels using ant colony optimization
Output power of solar panel varies with respect to irradiance and temperature. So maximum
power should be extracted from solar panels using Maximum Power Point Tracking. As …
power should be extracted from solar panels using Maximum Power Point Tracking. As …
Optimized maximum power point tracking algorithm for solar photovoltaic with dissimilar environmental conditions
The requirement for renewable energy especially solar is growing rapidly day by day. Solar
Photovoltaic (PV) is a major type of solar power production in all over the world. A proper …
Photovoltaic (PV) is a major type of solar power production in all over the world. A proper …
Comparison of hybrid artificial neural networks with GA, PSO, and RSA in predicting COVID-19 cases: a case study of India
The objective of the current study is to choose the best model with the highest accuracy rate
using three robust hybrid artificial intelligence-based models: the ANN-GA, ANN-PSO and …
using three robust hybrid artificial intelligence-based models: the ANN-GA, ANN-PSO and …
Performance of PSO based variants in tracking optimal power in a solar PV based generation system under partial shading condition
Solar PV system has become one of the most important aspect for power generation due to
the abundant supply of rays coming from the sun. But due to partial shading effects, the …
the abundant supply of rays coming from the sun. But due to partial shading effects, the …