Chaotic Differential Evolution Algorithm Based on Simplex Method for Large-scale Industrial Processes of Fuzzy Model
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 sub processes that are interactive, and the simplex method including open-loop simplex method and the simplex method with global feedback is the coordinate strategy. The main idea of the differential evolution algorithm with simple method is that find out the best individual in every generation with the standard differential evolution algorithm method ,then around the best individual do local search for some times and compared the former best one with the ones from the local search, if the latter is better, substitute the best one with the latter .A classical example of large-scale industrial processes is applied and the simulation results show the validity of the method.
fuzzy nonlinear programming fuzzy model large-scale industrial processes simplex method differential evolution algorithm
Dakuo He Lifeng Wang Shuo Li Bingyu Yang
School of Information Science and Engineering, Northeastern University, Shenyang, China
国际会议
The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)
太原
英文
799-803
2012-05-23（万方平台首次上网日期，不代表论文的发表时间）