关键词: 时间约束, 协同火力分配, 自适应量子遗传算法, 空战

Abstract: To improve the accuracy of cooperative weapon-target assignment model in cooperative air combat, according to the actual dynamic air combat process, this paper puts forward the concept of relative static air combat process and time constraints to establish the Relative Static Weapon-Target Assignment model（RSWTA）. In order to solve the model with time constraints accurately fast to solve problem, it puts forward the processing strategies of time constraints and the self-adaptive quantum genitive algorithm based on the best fitness and genetic algebras. Finally, the experiment results demonstrate that the SQGA and the model are effective and practical in solving the problem.

Key words: time constraints, cooperative weapon-target assignment, Self-adaptive Quantum Genitive Algorithm（SQGA）, air combat