Application of quantum-behaved particle swarm optimization algorithm

As one of the typical examples of Swarm Intelligence Algorithm, POS has been applied successfully in many fields. But it cannot guarantee a globally optimal solution. To improve that, researchers use related theories in quantum mechanics combined with the basic convergence of particle swarm and put forward a new model of PSO as Quantum-behaved PSO. The new algorithm is convenient for appliance and good at finding the globally optimal solution. It has been proved of good performance to solve optimizing problems through engineering application instances. The paper analyzes deeply the QPSO and thoroughly discusses the engineering application of QPSO and its improvement. It also has the prospect of the development tendency and extended applications of QPSO.