仿真结果显示，在正常负载率区间下，新的调度策略有效的降低了任务拒绝率，而运行开销在可接受范围内。
Simulation result shows that under normal system load range, the proposed strategy reduces the task rejection rate effectively while keeping runtime overhead manageable.
本文在普通任务调度算法的基础上提出了近视眼任务调度算法，并对近视眼任务调度算法进行仿真实现和性能分析。
In this paper, myopic task schedule algorithm has been developed based on original task schedule algorithm, and its behavior has been simulated and its efficiency has been analyzed.
仿真结果表明，本文所提出的调度算法能够有效降低任务的截止期错失率，对调度性能有明显的改善。
The method is evaluated with the missed deadline ratio, and the simulation results show the proposed algorithm can improve the performance of the radar scheduler effectively.
最后在虚拟仿真平台上结合地形勘察案例验证了任务调度算法，结果证明AUV能够在无人干预下自主地完成整个使命。
The task coordination algorithm was tested according to a terrain scanning scenario in a virtual system and demonstrated that an AUV can fulfill its mission autonomously.
最后在虚拟仿真平台上结合地形勘察案例验证了任务调度算法，结果证明AUV能够在无人干预下自主地完成整个使命。
The task coordination algorithm was tested according to a terrain scanning scenario in a virtual system and demonstrated that an AUV can fulfill its mission autonomously.
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