基于蒙特卡洛和multi-Agents的舰艇编队维修保障能力优化求解

Monte Carlo and multi-Agents based optimizing calculation for evaluating capability of maintenance support for fleet

针对舰艇编队的维修保障能力评估,采用蒙特卡洛方法和智能计算技术进行了建模,并在分布交互仿真环境下进行了求解。通过将舰艇编队维修系统按维修单位的功能划分成多个子系统,每个子系统抽象为能进行局部优化的Agent,实现了基于Agent的建模。在此基础上,重点讨论了基于HLA的仿真环境,通过应用RTI的服务确保了求解过程的时空一致性。仿真试验结果表明:通过采用蒙特卡洛方法、智能技术及分布交互仿真技术相结合的方法,能有效地对舰艇编队的维修保障能力进行评估。

In order to evaluate the ability to maintain and support the naval ships in the formation,Monte Carlo method,intelligent technology and distributed interactive simulation technology were used for modeling,and solutions were obtained from the distributed simulation environment.The complex system was divided into several sub systems.These sub systems working as multi-Agents in the Abstract can locally optimize the solving processes.On this basis,an emphasis was put on the discussion of how to use HLA as their interactive platform to solve the time-and-space consistency problem which migh happen in a stochastic experiment.The simulation results show that Monte Carlo method,intelligent technology and distributed interactive simulation technology can be applied to evaluating the ability to maintain and support the naval ships in formation effectively.