Chaotic differential evolution algorithm based on mixed method for large-scale industrial processes of fuzzy model

Abstract

In the large-scale industrial processes, there are more slow perturbations. So the mathematical model of an actual system is difficult to be accurate. When optimizing large-scale industrial processes, the mathematical model and the actual system does not match, that is model-reality difference. In order to deal with this problem, the structure of decomposition and coordination is used in this paper. The whole large-scale industrial processes can be decomposed into several subprocesses that are interactive, then the differential evolution algorithm (shorts for DE) is introduced to solve the submodel, and the mixed method including open-loop mixed method and the mixed method with global feedback is the coordinate strategy used in this paper. Chaotic differential evolution algorithm based on mixed method for large-scale industrial processes of fuzzy model is proposed in this paper. A classical example of large-scale industrial processes is applied and the simulation results show the validity of the method.