Particle Swarm Optimisation

This volume provides a detailed description of the state-of-the-art of Particle Swarm Optimization, PSO, and Quantum-behaved particle swarm optimization, QPSO, algorithms. The authors present the motivation, principle, and theoretical analysis of the algorithm. They discuss advanced topics such as behavior of individual particles, global convergence, time complexity, and rate of convergence. The book also presents examples and applications to show the applicability of QPSO algorithms, and vary in difficulty. It includes the source code of the algorithm.