可调的混合调度机制大大增加了系统适应性。
The adjustable mechanism of the hybrid scheduling raises the system's adaptability greatly.
为此本文提出一种混合调度方法来对电动汽车中的消息进行调度。
In this paper a hybrid scheduling method is presented to solve this problem.
在多任务集计算环境下，基于混合调度策略的算法能够明显改进调度性能。
For multiple task sets, the algorithms based on hybrid strategy obviously improve the scheduling performance.
这里有一点需要说明，混合调度算法是比较实用的，并且处理机的利用率也比较高。
Here, I want to say that the mixed algorithm is practical as well, and more importantly, we can get a high level utilization of processor.
研究基于直送的两阶段混合调度模型的模拟退火算法，其目标函数是最小化作业时间。
The paper studies the simulated annealing algorithm of two-stage hybrid scheduling model based on through transport, which the objective function is the minimized operation time.
在这一部分里，我们同样得到了一个任务集可以用混合调度算法调度的一个充分必要条件。
In this section, we also establish a necessary and sufficient condition for the algorithm of the mixed scheduling.
为了提高优化性能，将粒子群算法和模拟退火算法结合，得到了粒子群-模拟退火混合调度算法。
In order to improve its performance, the paper puts forward a hybrid algorithm which blends the PSO algorithm and simulated annealing algorithm.
混合调度算法把RMS和EDF两种算法结合起来，使它们取长补短，效果也不错，它在一些场合是比较有效的。
The mixed scheduling algorithm combines the algorithms of RMS and EDF, and makes full use of them. In some places, it is proved to be efficiency and effectiveness as well.
硬实时周期任务和软实时非周期任务是实时系统中两种基本的任务类型，它们的混合调度问题是实时研究的重点之一。
The hard periodic task and soft aperiodic task are two basic types of real-time task; their hybrid scheduling is an important part of real-time research.
硬实时周期任务和软实时非周期任务是实时系统中两种基本的任务类型，它们的混合调度问题是实时研究的重点之一。
The hard periodic task and soft aperiodic task are two basic types of real-time task; their hybrid scheduling is an important part of real-time research.
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