Standard PSO Algorithm MATLAB Toolbox Developed by International Researchers

This MATLAB toolbox implements the standard Particle Swarm Optimization (PSO) algorithm developed by international researchers. The toolbox provides complete PSO implementation with key algorithmic components including particle initialization, velocity updates using inertia weight and acceleration coefficients, and global/local best position tracking. Users can customize objective functions through function handles, configure algorithm parameters (swarm size, iteration count, cognitive/social parameters), and implement constraint handling mechanisms. The toolbox features modular code architecture with separate functions for swarm initialization, fitness evaluation, position updating, and convergence monitoring. Implementation includes velocity clamping and boundary handling techniques to maintain solution feasibility. Through this toolbox, researchers can efficiently solve optimization problems across various domains with improved convergence characteristics and solution quality.