Closed-loop deep brain stimulation (DBS) is currently a research hotspot in the treatment of Parkinson's disease, but a variety of stimulation strategies will increase the selection time and cost in animal experiments and clinical studies. And there is no obvious difference in the stimulation effect between similar strategies, which makes the selection process more redundant. A comprehensive evaluation model based on the optimal level was proposed to select the best strategy in similar strategies. Two similar threshold stimulation strategies were used to demonstrate the screening process. Firstly, the Analytic Hierarchy Process was used to assign the weights of the three indexes of Similar to UPDRS Estimates, β power and energy consumption. Then the values of all indexes were calculated, and the stimulus threshold with the optimal improvement effect was selected according to Similar to UPDRS Estimates. Finally, combined with weights and indexes values, the comprehensive scores were calculated according to the comprehensive evaluation model under the optimal stimulus conditions. By comparing the scores, the optimal stimulus threshold of one strategy was 52%, while the other was 72%. And the stimulus effect of the strategy with the optimal stimulus threshold 72% was better than that of 52%. The results show that the evaluation model based on the optimal stimulus condition can get a unique conclusion, and meet the selection of the optimal strategy between two similar strategies.