Based on analyzing the shortcomings of general FEA course,a conception of Parametric Finite Element Analysis (PFEA) was presented. According to the study of artificial neural networks (ANN) and genetic algorithm (GA), the training specimens were obtained by PFEA. A multi-parametric combination optimization model was found by PFEM and ANN for sheet metal forming. A new method that Parametric Finite Element Analysis, artificial neural networks and genetic algorithm were combined to research thoroughly on the problems of process parameter optimization of sheet metal forming process. Procedure was programmed for process parameter optimization of sheet metal forming and applied in a pressing analysis of square hole flanging. The optimum results obtained accord with the experimental results of published materials. The research shows that process parameter optimization of sheet metal forming are accurate and reliable. And a new efficient method is explored on process parameter optimization of numerical simulation of sheet metal forming.