Abstract: Injection molding with different process parameters was simulated using injection molding CAE software Moldflow and Taguchi experimental design. The comprehensive evaluation of volume shrinkage, warpage, and shrinkage of the part was created by using fuzzy weighting method. A response surface model was formulated for the relationship between comprehensive score and process parameters, from which the optimum technology porfolio of multi-objective optimization was obtained by genetic algorithm. The results showed that the response surface model was reliable;multi-objective optimization of injection molding process by response surface model was an effective way.