Abstract: Parameter identification of chaotic systems is a key issue of control and synchronization of chaos in nonlinear science. Propose improved quantum genetic algorithm this algorithm has a good capability of global search, which is used in the chaotic system parameter identification problem. By trying to reduce the actual status of the system and mathematical model of synchronous error to construct the fitness function, we transformed the parameter identification problem into the optimization in the multi-dimensional function space. The study of hyper chaotic Chen system, and compared with the basic Quantum Genetic Algorithm. Simulation results show that the improved quantum genetic algorithm is effective and feasible for chaotic system identification to open up a new way.

Key words: Quantum Optics; Parameter identification of chaos; Improved Quantum Genetic Algorithm; Hyper-chaotic Chen system