Abstract
We have proposed a generation alternation model for co-evolutionary optimization of strategies in one-on-one competitive contests. In this paper, we discuss the potentials of the model, through the application to several contests, including Nim and the two-dimensional hockey games. The experimental results show that the proposed model performs better over the conventional models.