A novel Hybrid Particle Swarm Optimization（HPSO） algorithm combined with the ideal of adaptive population mutation and individual annealing operation is proposed to solve the problem of slow searching speed and low computational precision of basic particle swarm optimization to blind source separation.Compared with Simulated Annealing（SA） and basic Particle Swarm Optimization（PSO）,the HPSO is almost as simple for implementation as standard particle swarm optimization,but can carry on mutation adaptively and improve the abilities of seekin...
