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.

In this paper, based on Monte Carlo algorithm model and particle swarm optimization PSO algorithm, the optimization model of heliostatic mirror field is constructed, which is of great practical ...

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 ...

High Voltage Direct Current (HVDC) transmission line of 2500MW, ±500kV is modeled in the PSB/SIMULINK software and the system is analyzed for its performance. Particle Swarm Optimization (PSO) ...

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.

RahulnKumar / Self-Balancing-Robot Star 9 Code Issues Pull requests Self Balancing Robot with PSO based self tuned PID controller simulation inverted-pendulum pid-tuning pso-algorithm Updated May 23, ...

Star 30 Code Issues Pull requests ABC+PSO Path Planning path-planning metaheuristics optimal-path artificial-bee-colony pso-algorithm Updated Jan 27, 2022 MATLAB ...

The proposed hybrid intelligent technique is implemented in MATLAB platform and its performance is evaluated. Keywords: Particle Swarm Optimization (PSO), Economic Dispatch (ED), Economic Dispatch ...