A new algorithm for global optimization based on feedback control system model and Latin squares

In this paper, a new optimization algorithm, based on feedback control system and Latin squares, is presented. The main idea is that the object function is designed as control plant and adaptive PID strategy (APID) is used as the optimization algorithm. To get the global optimization solution, multi-control systems method which likes particle swarm optimization algorithm with distributed characteristic is used and the Latin squares method is applied to set the initial position for all particles. To show effectiveness of the proposed method, the simulations of 11 benchmark examples are carried out. The result indicates that the proposed method is very useful.