A cooperative approach to quantum-behaved particle swarm optimization

Particle swarm optimization (PSO) algorithm was proposed by Kennedy and Eberhart in 1995, which can be used to solve a wide array of different optimization problem. The PSO idea is inspired by natural concepts such as fish schooling, bird flocking and human social relations. Some experimental results show that PSO has greater "global search" ability, but the "local search" ability around the optimum is not very good. In order to enhance the "local search" ability of the traditional PSO, Sun et proposed Quantum-behaved Particle Swarm Optimization algorithm (QPSO), but the convergence of the particle in QPSO is limited. Then an improvement methods for the QPSO, that is, Cooperative Quantum-behaved Particle Swarm Optitnization (CQPSO) algorithm, is introduced bydeeply analyzing the QPSO. Experiments for several benchmark problems show that CQPSO can overcome the fault of QPSO and increase the optimization power of the particle swarm.