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作战任务分配是现代多用途战斗机火控系统的核心,也是任务管理系统中的关键性的问题。首先运用信息熵方法,结合主客观两方面的因素对多目标攻击条件下的任务进行优先权分析,然后建立起传感器作用于任务的效能矩阵,在此基础上运用蚁群算法来确定任务最优分配方案。仿真实例表明该任务分配模型对于多目标攻击条件下的任务分配具有一定的可行性和实用性。
Combat task assignment is the core of modern multi-purpose fighter fire control system and also a key issue in mission management system. Firstly, the information entropy method is used to analyze the priority of the tasks under the multi-target attack conditions by combining the subjective and objective factors. Then, the effectiveness matrix of the sensors acting on the task is established. On this basis, the ant colony algorithm is used to determine the optimal task Distribution plan. Simulation results show that the task assignment model is feasible and practical for task assignment under multi-target attack conditions.