MATLAB Code Implementation of PSO Toolbox

The PSO Toolbox program is an optimization tool that enables users to solve target optimization problems efficiently. It provides a comprehensive set of functions and algorithms, including particle swarm optimization (PSO) implementations with customizable parameters such as inertia weight, cognitive and social coefficients, and velocity limits. Key functions include particle initialization, fitness evaluation, velocity updates using standard PSO equations, and global/local best position tracking. Users can select different optimization algorithms (e.g., standard PSO, adaptive PSO) and adjust parameters based on problem characteristics like search space dimensionality and constraint handling. The toolbox features MATLAB-based implementations with vectorized operations for performance, including options for parallel processing and convergence visualization. Despite its advanced capabilities, the PSO Toolbox maintains a user-friendly interface with preset configurations, making it accessible even for users without programming experience. Through this toolbox, users can rapidly solve complex optimization problems, improve workflow efficiency, and achieve superior optimization results through systematic parameter tuning and algorithmic flexibility.