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    一种有限资源约束的博弈概率图规划模型

    A Planning Model of Game Probability Graph with Finite Resource Constraint

    • 摘要: 在分析传统智能规划建模优缺点基础上, 针对联合作战任务规划面临的资源有限性、人机结合性、对抗性、不确定性特点, 设计了虚实结合的规划框架, 提出了博弈概率图规划模型, 改进了规划步的终止方法, 针对敌方作战体系的鲁棒性特征, 采用 遗传算法优化了行动方案, 通过实验验证了博弈概率图规划模型的有效性.

       

      Abstract: Based on the analysis of the advantages and disadvantages of traditional smart planning modeling, the planning frame of virtual-actual combination is designed according to such features that the joint operations mission planning are facing with as resource limitation, integration of man-machine, antagonism and uncertainty. The game probability graph planning model is proposed, and the termination method of planning steps of the model is improved. Regarding the Robustness characteristics of enemy's Operation system of systems, and the genetic algorithms is adopted to optimize the action schemes. Finally, the effectiveness of the planning model of the game probability graph is verified by the experiments.

       

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