Optimization of SF/sub 6/ circuit breaker based on chaotic neural network

The chaotic mechanism has been introduced to optimize the electric apparatus in this paper. By combining the chaotic mechanism and artificial neural network (ANN), the chaotic Hopfield neural network (CHNN) has been established, and applied to solve the optimum problem of the demonstrated examples. From the simulation results, it can be found that the proposed CHNN can be employed to solve the optimization problems with multivariables and complex energy function. Furthermore, a novel optimum algorithm for optimizing the electric apparatus has been provided.