Particle swarm optimization: An efficient method for tracing periodic orbits and controlling chaos

Chaos control is of vital importance in the fields of chaos application. To avoid too much artificial control factors, by transforming problems related to chaos system into those of different functions' optimizations, a novel application through particle swarm optimization simulating the swarm intelligence is proposed. It makes the processes of tracing unstable periodic orbits, directing and multi-solutions for controlling Henon chaos as a whole. The details of applying the proposed method are given and the experiments done show that the proposed strategy is effective and robust.