Parameter Identification of Chaotic Systems Using an Improved Artificial Bee Colony Algorithm

Parameter identification is very important for control and synchronization of chaotic system. In this paper, the problem of parameter identification of chaotic system is studied from the viewpoint of optimization. The parameter identification problem is converted to a multi-dimension parameter optimization problem. An improved artificial bee colony algorithm based on exchange neighborhood structure(EN-ABC) is proposed to solve the optimization problem. The proposed EN-ABC algorithm is applied to identify parameters of Lorenz chaotic system and time delay Logistic chaotic system. Simulation results show that EN-ABC algorithm is more promising and effective than ABC and GA algorithms for the parameter identification of chaotic systems.