Analyzing Convergent Ability of QPSO Algorithm

An opening and practical solution, that is Quantum- behaved Particle Swarm Optimization algorithm. Not only parameters of QPSO are few and randomicity of QPSO is strong, but also QPSO cover with all the space of solution and guarantee global convergence of algorithms. Analyzing Convergent Ability of Quantum- behaved Particle Swarm Optimization Algorithm by four classical benchmark functions. Experiment results show that QPSO algorithm provides a much better effect than PSO algorithm on convergent Ability of algorithm.