In view of beyond-visual-range air combat maneuver decision-making, an air combat decision-making model based on tactical maneuver combination is proposed. Firstly, the beyond-visual-range air combat maneuver is described as two typical forms with the parametric language being as a basic action of beyond-visual-range air combat. Secondly, the Hierarchical Task Network (HTN) model is introduced, and the air-to-air missile attack zone is utilized for describing the air combat situation to construct an air combat HTN model with parameters. Finally, taking maneuvering time, launchable distance, and launchable time as objective functions, a multi-objective optimization model is constructed, and the moth-flame algorithm is used to optimize and solve the HTN network parameters. The experiments show that the moth-flame algorithm can quickly solve the optimal parameters in the current situation, and the obtained air combat tactical maneuver sequence can achieve the tactical purpose. The algorithm model in this paper can provide pilots with auxiliary decision-making, and also provide new ideas for studying intelligent beyond-visual-range air combat.