Optimum Design for Nonlinear Muti-constrained Complex Industrial Process

The complex industrial process possesses strong nonlinear-, multi-constrained-, multi-input and multi-output and other characters. It is hard to use the traditional optimization algorithm to resolve the process control optimization problem, which model build by using multiple intelligent techniques. In the paper the method of SUMT is used to transform the multi-target-constrained optimization problem to unlimited optimization problem, the practical Lead-Zinc sintering process control model is build by using NN. The parameters optimization is obtained by using the clustering search, elitist preserved simple genetic algorithm and chaos optimization. The whole optimization algorithm possesses the global convergence and effective, better used in practical industrial process