Abstract: In the circuit optimization design field, the circuit scale and the time of evaluate the circuit are the challenge problems. The traditional optimization algorithms cannot solve the two problems very well. In this paper, we propose an algorithm based on cultural evolution theory, this algorithm is a class of computational models derived from observing the cultural evolution process in nature. The new algorithm not only has the fast convergence speed but has the capability of global searching. For the case studies, this means has proved to be efficient and the experiment results show that the new means have got the better results in the circuit optimization design.