However, when solving nonlinear equations, the convergence rate and solution accuracy of the existing intelligent algorithms for multilevel inverter SHEPWM will decrease with the increase of the ...

To make the welding robot more reasonable and furthermore improve the productivity and reduce costs, two intelligent algorithms for welding path optimization, genetic algorithm (GA) and discrete ...

optimization optimization-algorithms particle-swarm-optimization pso optimisation metaheuristic heuristic-search-algorithms metaheuristics particle-swarm-optimisation pso-algorithm ...

Particle swarm optimization (PSO) algorithm is an optimization technique with remarkable performance for problem solving. The convergence analysis of the method is still in research.

Firstly, according to the distribution of the crowd, the PSO algorithm is used to cluster the target-POI of the task area, and the neural collaborative filtering algorithm is used to prioritize the ...

feature-extraction particle-swarm-optimization pso pso-algorithm lpq image-feature-extraction local-phase-quantization Updated on Feb 1, 2022 MATLAB ...

This paper aims to implement PSO algorithm in Matlab code in order to determine the material parameters of the hyperelastic incompressible isotropic models using combined tension-torsion test data.

The PSO fit for the four-site model is quite adequate for determining densities of states and partition functions for I – (H 2 O) n clusters at high energies and temperatures, respectively. The PSO ...