Study of chaos genetic algorithms and its application in neural networks

In this paper, based on the relationship between chaos and evolution of chaotic theory, chaos is combined with a genetic algorithm. A new hybrid strategy is proposed in order to overcome the weakness of the simple genetic algorithm (SGA). The hybrid chaos GA is applied in neural networks and simulations show that the chaos GA is better than SGA in speed of searching and precision of optimization.