Estimation of periodic points in chaos of discrete gradient models for global optimization

Applied studies of global optimization methods using chaos such as "the chaotic annealing" are widely done, although any simple and automatic method for generating chaos in discrete dynamics is not discussed. In this paper, we propose the parameter estimation method for generating chaos based on formulating the optimization problem for finding a trajectory with odd periods. The efficiency of the proposed method is verified through numerical simulations.