In this paper, we propose a maneuver decision-making rule method based on behavior trees and evolutionary game theory for the individual behavior evolution and maneuver decision-making problem of drones in high-energy laser counter-interception scenarios. First, we divide the aerial combat game decision-making problem into different task and functional levels based on the OODA loop decision-making theory. We then integrate behavior trees and the equilibrium concept of evolutionary game theory to model the decision-making problems at different task levels in a targeted manner, designing a hierarchical evolutionary behavior tree decision framework for aerial combat analysis. Second, considering the effects of the dynamic changes in the aerial combat situation, we establish a high-energy laser weapon damage model and an aerial combat situation assessment model. Finally, we construct several typical initial aerial combat scenarios to comprehensively simulate complex real-world situations. Through simulation and comparative verification, we demonstrate the practicality and effectiveness of the proposed HEBT decision framework under various situations. This framework can effectively support the aerial combat maneuver decision-making of drones, drive the dynamic operation of different combat stages, and reduce the complexity of solving aerial combat game decision-making problems.