Multi-Objective Optimization Algorithm Based on Particle Swarm Optimization
Implementing multi-objective optimization using particle swarm algorithm with GUI interface code and toolbox components for enhanced algorithm performance
Optimized Design of PID Controller Based on Particle Swarm Algorithm
This tutorial demonstrates PID controller optimization using Particle Swarm Optimization (PSO) algorithm with detailed MATLAB implementation examples, including parameter tuning strategies and convergence analysis. For high-resolution tutorial materials, please contact 1066146635@qq.com.
Optimization Design Method for PID Parameters in Control Systems Based on Particle Swarm Algorithm and Improvements to PID Control
Research on PID parameter optimization design method for control systems using particle swarm algorithm and enhancements to PID control, with implementation insights including swarm initialization, fitness function evaluation, and velocity-position update mechanisms.
Multi-Objective Search Algorithm Based on Particle Swarm Optimization
Multi-Objective Search Algorithm Using Particle Swarm Optimization Detailed tutorial available in included materials. For high-resolution tutorials due to file size limitations, please contact me at 1066146635@qq.com. Implementation includes particle position updates, velocity calculations, and Pareto front optimization for multi-objective problems.