MATLAB Implementation of Particle Swarm Optimization (PSO) Algorithm

The PSO program implements a Particle Swarm Optimization algorithm through three essential MATLAB files: DeJong.m, get_psoOptions.m, and pso.m. To execute the program, place all three files in your MATLAB work directory. The get_psoOptions.m file contains configurable parameters where users can adjust settings like swarm size, iteration limits, and velocity constraints to customize the optimization process. DeJong.m serves as the fitness function module, which evaluates particle positions and can be modified to implement custom objective functions for different optimization scenarios. The main algorithm in pso.m handles particle initialization, velocity updates using inertia weights, position tracking, and global best maintenance through social and cognitive components. By modifying these files, users can personalize the algorithm's behavior to address various optimization requirements, with the core PSO mechanics following standard update equations for particle velocity and position calculations.