A New Optimization Algorithm Based on Multi-Control System Model and Transformation Function Method

In this paper, a new optimization algorithm based on multi-control system model and transformation function method, is presented, that is, the object function is used as plant of all sub-control system, the value of the object function closes gradually to input of a sub-control system by using adaptive PID of combining with particle swarm optimization algorithm, thus each subsystem influence each other through PSO. In addition, a transformation function T(x) is used to change the characteristic of control plant in order to more easily find the global optimization solution through distributed control system since transformation function T(x) helps the control algorithm to reduce the number of falling into the local minimum of f(x) possibility. To show effectiveness of the proposed method, the simulations of 7 benchmark examples are carried out, as a result, it indicates that the proposed method is very useful.