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A complete engagement framework, including evaluation model, intelligent assignment, and cooperative interception is proposed to address the issue of multimissile and multitarget engagement (MME). The concepts of targets threat degree and missiles interception effective degree are included in the evaluation model, which fully considers both the offensive and defensive sides. Then, the multitarget assignment is carried out based on the obtained evaluation model, and a reinforcement learning-based intelligent assignment strategy is adopted. This scheme is capable of quickly generating the optimal assignment in the complex and variable engagement environment by virtue of the self-learning and reward mechanism. Following the optimal assignment, a cooperative interception technique is used to ensure the interception mission efficiently and accurately. Finally, simulation results illustrate the validity of the proposed engagement framework. [ABSTRACT FROM AUTHOR]