Researchers have developed a maximum power point tracking algorithm based on the social hierarchy and hunting strategy of grey wolves. When tested under realistic shading conditions, the grey wolf ...

Parallel Global Best-Worst Particle Swarm Optimization Algorithm for Solving Optimization Problems (Applied Soft Computing-2023) ...

The approach integrates the advantages of Proportional-Integral-Derivative control, particle swarm optimization, and neural networks. By constructing a neural network model with input, hidden, and ...

In this paper, we propose a neural network-assisted particle swarm optimization (NN-PSO) algorithm and the search-guided neural networks (SGNN) are designed. Each particle selects its local and global ...

Deep convolutional neural networks (DCNNs) have achieved surpassing success in the field of computer vision, and a number of elaborately designed networks refresh the performance records in benchmark ...

5.1 Particle Swarm Optimization–Artificial Neural Network Model Implementation In the proposed study, the BP technique was replaced by the PSO algorithm to optimize the weights and biases for the ...

A MATLAB-based repository for MPPT optimization using a Hybrid Grey Wolf Optimizer (GWO) and Particle Swarm Optimization (PSO) algorithm in photovoltaic systems.

After highlighting the minimization of the objective function generated in the fitting process, the study revealed that a particle swarm optimization algorithm could be successfully used to identify ...

Discover how Particle Swarm Optimization algorithm can accurately determine material parameters in elastic strain-energy functions. Simulation of rubber behavior using various strain-energy functions.