An international research team has developed a particle swarm optimization (PSO) algorithm based on quantum computing for real-time maximum power point tracking (MPPT) implementation in PV systems.

The primary objective of this project is to develop a robust path planning solution for transport UAVs operating in low-altitude environments with complex terrain and obstacles. The algorithm is ...

Abstract: A new Particle swarm optimisation (PSO) algorithm based on the Hénon chaotic map (hereafter HCPSO algorithm) is presented in this paper to deal with the premature convergence problem of the ...

This project implements an innovative hybrid optimization algorithm that combines Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) with an adaptive grouping strategy. The algorithm ...

Abstract: Signal processing has made extensive use of neural networks. This study examines neural network training using the PSO and BP algorithms. To train the neural network, the PSO algorithm alone ...

Particle swarm optimization isn't usually seen as the first-choice technique for training a neural network but, as James McCaffrey demonstrates, it's a useful alternative. Particle swarm optimization ...