The chaos artificial immune algorithm and its application to RBF neuro-fuzzy controller design

The human immune system can be regarded as a complex information processing system, and can provide inspiration for developing intelligent computation method. Many artificial immune algorithms have been developed and applied to various areas. In this paper, a chaos artificial immune algorithm for function optimization problem is proposed by integration of chaotic search and previous artificial immune algorithm. The algorithm uses chaotic variables to perform local search and explore the solution space. The results of function optimization show that the algorithm is effective. It is further used to design a neuro-fuzzy controller for real-time control of an inverted pendulum. Experiment results show that the designed controller can control actual inverted pendulum successfully.