BPSO Binary Particle Swarm Optimization Algorithm

This project provides a MATLAB source code implementation of the Binary Particle Swarm Optimization (BPSO) algorithm. BPSO is a specialized optimization technique derived from the standard particle swarm optimization framework, where solutions in the search space are represented using binary encoding. In this algorithm implementation, each particle's position and velocity are encoded as binary values. Through iterative updates of particle positions and velocities based on fitness evaluation, the BPSO algorithm progressively optimizes the objective function to converge toward optimal solutions. The MATLAB implementation includes key components such as binary position initialization, velocity clamping mechanisms, and sigmoid transformation functions for probability-based position updates. This implementation demonstrates how to apply BPSO to solve optimization problems on the MATLAB platform, featuring modular code structure with separate functions for initialization, fitness evaluation, and particle update procedures. Through this practical implementation, users can gain deeper understanding of BPSO's underlying principles and applications, and can further adapt the code to solve various optimization problems in different domains.