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针对不确定环境中侦察无人机执行多任务时不同的任务调度顺序对代价和收益的影响,根据多任务执行过程的特征,建立了任务执行过程的状态转移模型.通过对模型推导获得了一个最优性判据,根据该判据对任务进行降序排列能够得到最优调度.仿真实验结果证明了文中所提调度策略的最优性,将文中所提策略产生的表调度算法与遗传算法和穷举搜索进行实验对比,实验结果与理论推导一致,说明了文中所提策略的最优性和高效性.
According to the characteristics of multi-task execution process, a state transition model of task execution process is established for different reconstructions of reconnaissance UAVs in multi-tasks in uncertain environment.According to the derivation of the model, a Optimality criteria, and according to the criteria, the tasks can be sorted in descending order to obtain the optimal scheduling.The simulation results show the optimality of the scheduling strategy proposed in this paper, and the table scheduling algorithm and the genetic algorithm Exhaustive search for experimental comparison, the experimental results consistent with the theoretical derivation, illustrates the optimality and efficiency of the proposed strategy.