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中文摘要：
为解决传统的军事通信路径规划模型在处理动态时变的通信网络时，无法对其作出实时合理的动态路径规划问题．针对战场环境复杂变化的特点，将战场军事网络中实时动态变化的网络属性加入到路径规划模型中，构建了基于改进蚁群算法的动态路径规划模型．通过与传统静态路径路径规划模型相比，证明该模型能够动态自适应规划出最优通信路径，满足战场环境下军事通信要求．
英文摘要：
The traditional military communication path planning model can＇t timely and reasonably solve the problem of dynamic path planning. In view of the characteristic of complex and dynamic battlefield environment, dynamic network attributes are added to the model based on the optimal ant colony algorithms. Compared to the traditional static path planning model, the dynamic model is proved to planning the most best path correctly, and meet the request of combat battle in the environment.
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