MATLAB Source Code for Quantum-Behaved Particle Swarm Optimization (QPSO) Algorithm

This repository provides MATLAB source code for the Quantum-Behaved Particle Swarm Optimization (QPSO) algorithm, which offers an enhanced version of traditional PSO by incorporating quantum mechanics principles for better global search capability. The implementation includes core components such as: - Quantum state initialization using wave function modeling - Particle position update mechanism with quantum delta potential - Mean best position calculation for convergence optimization - Fitness evaluation functions for optimization problems The code structure features modular design with separate functions for initialization, quantum behavior simulation, position updates, and result visualization. Key parameters like contraction-expansion coefficient and mean best position are configurable for different optimization scenarios. Developers can modify the objective function in the fitness evaluation module to adapt the algorithm to specific optimization problems. The code includes comprehensive comments explaining the quantum behavior implementation and parameter tuning guidelines for optimal performance. Technical support and implementation guidance are available for users seeking to understand the quantum mechanics integration in particle swarm optimization and its application to complex optimization challenges.