The automatic optimization of enterprise process model parameters is an optimization problem of the objectives and parameters system. This problem can be changed into the issue solving only one objective and parameters the system optimization with by linearity weighting method. Based on it, an automatic optimization technique in enterprise process modeling based on computer simulation is discussed in this paper, which combines FR (fletcher-reeves) method and TS (tabu-search) algorithm. The technique uses FR method to obtain the local optimization solutions,and uses TS algorithm to discover the global pptimum in the sense of probability.The concept of tabu-area table is firstly proposed,and the rabu-list is improved from the the two dimensions array to one dimension array,which uses to record the trace of optimize of optimize of the process model.FR method is improved by introducing search direction determining while near to the local optimization solutions so as to solve the peak and aigzag curve problem.The new technique can be generalized for model parameters optimization in the arbitrary curves,and be instructive for enterprise to implement BPR(business process reengineering)and ERP(enterprise resource planning)management.