MATLAB Source Code for Standard Particle Swarm Optimization Algorithm

This repository provides a complete MATLAB source code implementation of the standard Particle Swarm Optimization (PSO) algorithm that can be executed directly. The code implements the core PSO mechanism including particle initialization, velocity updates using cognitive and social components, position updates, and fitness evaluation. While PSO is a well-established optimization technique widely used in various domains, practical applications often require algorithm customization based on specific problem characteristics. When adapting this implementation to your particular optimization problem, we recommend thoroughly understanding the underlying PSO principles, including inertia weight adjustment, velocity clamping, and neighborhood topologies. You may need to modify key parameters such as swarm size, acceleration coefficients, and maximum iterations, or enhance the fitness function to match your objective. For comprehensive understanding and optimization, we suggest referring to additional literature and code examples that demonstrate advanced PSO variants and implementation techniques. The code structure follows standard MATLAB programming practices with clear function organization and commenting for easy modification and extension.