Aiming at the problem of acquiring domain knowledge, fixed behavior pattern and adaptability lack of behavior modeling in traditional simulation systems, this paper establish decision-making behavior model, proposes an evolutionary behavior tree method based on static constraints. Based on the general evolutionary algorithm, the behavior tree topology structure that reflects the decision-making behavior logic is automatically generated, and the generation efficiency and adaptability of the decision-making model is improved through combination of general learning methods and domain rules. Preliminary experiments in tank game validate the proposed method. The results show that the method enhances the interpretability of decision-making logic, and is feasible and scientific.