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

摘要： 为提高空战编队协同火力分配模型的准确性, 结合空战实际动态过程的特点，提出相对静态空战过程和窗口时间约束概念，并基于此建立相对静态空战火力分配模型，考虑从分配开始到命中目标所需时间与实际可用时间的相互关系;针对模型在增加了时间约束后难以快速准确求解的问题，提出一种时间约束处理的策略，并基于最佳适应度和遗传代数调整策略相结合的自适应量子遗传算法求解。实验结果验证了改进算法的快速收敛性和稳定性，同时表明模型在空战火力分配方面的适用性。

关键词: 时间约束, 协同火力分配, 自适应量子遗传算法, 空战