MATLAB Implementation of Quantum Particle Swarm Optimization Algorithm

This MATLAB implementation of Quantum Particle Swarm Optimization (QPSO) includes detailed program documentation and operational procedures. QPSO is an optimization algorithm combining quantum mechanics principles with particle swarm optimization techniques, designed to solve complex problems. The MATLAB implementation provides a practical framework for algorithm execution, research, and analysis. The program documentation covers algorithm fundamentals, parameter configuration methods, and usage guidelines. Key implementation aspects include quantum state vector initialization using rand() functions, wave function collapse simulation through probability amplitude calculations, and quantum rotation gate operations for position updates. This implementation helps users understand QPSO's theoretical foundations and practical applications, enabling them to apply the algorithm to relevant research problems. The code structure features modular design with separate functions for particle initialization, fitness evaluation, quantum behavior simulation, and convergence monitoring.