The invention relates to the enterprise engineering and the information technology field, and discloses an optimization method for the multi-objective enterprise process model parameters, which is based on the genetic algorithm. In the optimization field of the enterprise process model parameters, most optimization methods use the countermeasure weighing principle to combine each sub-goal into a single objective, so as to process an optimization objective, thus, some defects exist in the comprehensive evaluation process. Aiming mainly at various optimal parameters, such as the production rate of the product, the quantities of various resources, the persistent time of each activity and the configuration schemes for the required resources, as well as the scheduling strategies for the selectable resources, the invention comprehensively evaluates a plurality of indexes, such as the running time, the running cost, the final product quality, the utilization rate of the product, the queue length, etc. The invention adopts the method which divides the problem space in a multi-layer way to process the combinatorial constraint relationship among the various optimal parameters, thereby increasing the flexibility of the optimization parameter selection, and avoiding the analysis calculation to the ineffective parameter combination scheme, furthermore facilitating the maintenance of the group diversity.