Controlling chaos by an improved estimation of distribution algorithm (Q629599)

This paper proposes an effective estimation of distribution algorithm (EDA)-based memetic algorithm (MA) to direct the orbits of discrete chaotic dynamical systems as well as to synchronize chaotic systems, which could be formulated as complex multi-modal numerical optimization problems. Simulations based on Hénon map demonstrate the effectiveness and efficiency of EDA-based MA, and the effects of some parameters are investigated as well.