A hybrid particle swarm optimization for distribution state estimation

Multi-Objective Evolutionary Optimization of PID Controller by Chaotic Particle Swarm Optimization

“…In PSO, the parametersw , 1 r and 2 r are the key factors affecting the convergence behavior [33], [34]. The inertia weight controls the balance between the global exploration and the local search ability.…”

Intelligent Backstepping Control for Genesio-Tesi ChaoticSystem Using a Chaotic Particle Swarm OptimizationAlgorithm

“…In PSO, the parameters w , 1 r and 2 r are the key factors affecting the convergence behavior [32], [33]. The inertia weight controls the balance between the global exploration and the local search ability.…”

Application of Chaotic Particle Swarm Optimization to PID Parameter Tuning in Ball and Hoop System

“…In PSO, the parametersw , 1 r and 2 r are the key factors affecting the convergence behavior [23], [24]. The inertia weight controls the balance between the global exploration and the local search ability.…”