Zhejiang Business Technology Institute, Ningbo 315012, China.
NingboTech University, Ningbo 315012, China.
Comput Intell Neurosci. 2022 Aug 19;2022:6967223. doi: 10.1155/2022/6967223. eCollection 2022.
As an important system in the national defense and military information construction, the command, control, communication, and intelligence (C3I) system urgently needs to establish an adaptive process to deal with the dynamic operating environment and changeable task requirements to ensure the long-term effective and stable operation of the system. As an important part of this process, the adaptive decision method should have the ability of online trade-off decision. Therefore, this paper presents an adaptive decision method based on parallel computing and optimization theory. This method combines operational requirements and commander preference to achieve the parallel adaptive decision solution. The experimental results show that the presented decision method can generate online trade-off strategies to deal with typical command and control scenarios of damage replacement in a simulated environment, effectively guide the system to carry out adjustment behavior, and achieve the goal of dynamic response to environmental changes and task changes.
作为国防和军事信息建设的重要系统，指挥、控制、通信和情报（C3I）系统迫切需要建立一个自适应过程，以应对动态的运行环境和多变的任务需求，确保系统的长期有效和稳定运行。作为这个过程的重要组成部分，自适应决策方法应该具有在线权衡决策的能力。因此，本文提出了一种基于并行计算和优化理论的自适应决策方法。该方法结合了作战需求和指挥员偏好，实现了并行自适应决策求解。实验结果表明，所提出的决策方法能够生成在线权衡策略，以应对模拟环境中典型的指挥控制场景下的损伤替换，有效指导系统进行调整行为，实现对环境变化和任务变化的动态响应目标。
