Global optimization method using chaos of discrete inertial gradient dynamics

In this paper, the optimization method based on "the chaotic annealing" applied to the trajectories generated in the discrete model of the inertial gradient dynamics is proposed. The new inertial gradient model is superior in: the easiness in the initial state configuration, and the assurance of the convergence to local optima. The efficiency is demonstrated through numerical simulations.