首页> 外文会议>Simulation Conference >ASSIGNMENT SCHEDULING CAPABILITY FOR UNMANNED AERIAL VEHICLES-A DISCRETE EVENT SIMULATION WITH OPTIMIZATION IN THE LOOP APPROACH TO SOLVING A SCHEDULING PROBLEM
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ASSIGNMENT SCHEDULING CAPABILITY FOR UNMANNED AERIAL VEHICLES-A DISCRETE EVENT SIMULATION WITH OPTIMIZATION IN THE LOOP APPROACH TO SOLVING A SCHEDULING PROBLEM

机译:无人航空车辆的分配调度能力 - 一种离散事件仿真,具有解决调度问题的循环方法中的优化

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摘要

Many military planning problems are difficult to solve using pure mathematical programming techniques. One such problem is scheduling unmanned aerial vehicles (UAVs) in military operations subject to dynamic movement and control constraints. This problem is instead formulated as a dynamic programming problem whose approximate solution is obtained via the Assignment Scheduling Capability for UAVs (ASC-U) model using concepts from both simulation and optimization. Optimization is very effective at identifying the best decision for static problems, but is weaker in identifying the best decision in dynamic systems. Simulation is very effective in modeling and capturing dynamic effects, but is weak in optimizing from alternatives. ASC-U exploits the relative strengths of both methodologies by periodically re-optimizing UAV assignments and then having the simulation transition the states according to state dynamics. ASC-U thus exploits the strengths of simulation and optimization to construct good, timely solutions that neither optimization nor simulation could achieve alone.
机译:许多军事规划问题难以使用纯数学编程技术解决。一个这样的问题在于以动态运动和控制约束,在军事运营中安排无人驾驶飞行器(无人机)。相反,该问题被制定为动态编程问题,其近似解决方法是通过来自模拟和优化的概念的UAVS(ASC-U)模型的分配调度能力获得的近似解。优化在识别静态问题的最佳决定时非常有效,但在识别动态系统中的最佳决策时较弱。仿真在建模和捕获动态效果方面非常有效,但在从替代方案中优化的弱势弱。 ASC-U通过定期重新优化UAV分配来利用两种方法的相对优势,然后根据状态动态进行模拟转换状态。因此,ASC-U利用模拟和优化的优点来构建良好的,及时的解决方案,既不优化也无法仿真也可以单独实现。

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