PSO Particle Swarm Optimization Projects
|AT-PSO-1||An Improved Current-Limiting Strategy for Shunt Active Power Filter (SAPF) Using Particle Swarm Optimization (PSO)||Download|
|AT-PSO-2||Improved Dynamic Performance of Shunt Active Power Filter Using Particle Swarm Optimization||Download|
|AT-PSO-3||Particle Swarm Optimization Based Shunt Active Harmonic Filter for Harmonic Compensation||Download|
|AT-PSO-4||PI tuning of Shunt Active Filter using GA and PSO Algorithm||Download|
|AT-PSO-5||PSO - PI Based DC Link Voltage Control Technique for Shunt Hybrid Active Power Filter||Download|
The table lists the latest Particle Swarm Optimization PSO Projects-
In computational science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a candidate solutionwith regard to a given measure of quality. It solves a problem by having a population of candidate solutions, here dubbed particles, and moving these particles around in the search-space according to simple mathematical formulae over the particle’s position and velocity. Each particle’s movement is influenced by its local best known position, but is also guided toward the best known positions in the search-space, which are updated as better positions are found by other particles. This is expected to move the swarm toward the best solutions.