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.

中文翻译：

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多导弹多目标交战中的评估模型、智能分配和协同拦截

针对多导弹多目标交战（MME）问题，提出了一个完整的交战框架，包括评估模型、智能指派和协同拦截。评价模型中包含了目标威胁度和导弹拦截有效度的概念，充分考虑了攻防双方。然后，基于得到的评价模型进行多目标分配，并采用基于强化学习的智能分配策略。该方案凭借自学习和奖励机制，能够在复杂多变的参与环境中快速生成最优分配。优化分配后，采用协同拦截技术，确保拦截任务高效、准确。