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scheduling相关的网络例句

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与 scheduling 相关的网络例句 [注:此内容来源于网络,仅供参考]

The result can be applied to flow shop scheduling and job shop scheduling problem directly,and has practical applied value.

研究结果可直接应用于企业流水车间调度和作业车间调度,具有一定的实际应用价值。

Flexible flow shop scheduling problem is a complex job shop scheduling problem.

柔性流水作业排序问题是一类复杂的车间作业调度问题。

Hybrid Flow Shop scheduling problem is a kind of complicated scheduling problems which involve task, resource and time.

混合流水线(Hybrid Flow Shop,简称HFS)调度问题是一类复杂的调度问题,由于调度涉及任务、资源、时间的三维性,建立HFS调度问题精确的数学模型是非常困难的。

In this paper, GA is applied to solve complex shop floor scheduling problem. I have made some research in the following aspects:(1) In order to overcome the weakness of premature convergence appearing in GA, an improved genetic algorithm is proposed and applied in the flow shop scheduling problem.

本文应用遗传算法求解复杂的车间调度问题,主要在以下几个方面作了一些研究工作:(1)为了克服遗传算法容易出现提早收敛的缺陷,提出了一种改进的遗传算法,并将其应用于流水车间调度问题。

Then this paper analyzes schedulability of the task, shows the limitation of traditional scheduling algorithm, a hierarchal scheduling algorithm of real-time tasks is provided to analyze the scheduabiltity of the system.

然后对系统任务的可调度性进行分析,提出传统调度算法的局限,通过运用层次调度这种混合调度算法,分析了系统的可调度性。

Then this paper analyzes schedulablility of the task, shows the limitation of traditional scheduling algorithm, a hierarchal scheduling algorithm of real-time tasks is provided to analyzes the scheduabiltity of the system.

然后对系统任务的可调度性进行分析,提出传统调度算法的局限,通过运用层次调度这种混合调度算法,分析了系统的可调度性。

Just under this background, this dissertation constructs agile manufacturing scheduleing model based on Agent technique and Contract Net's bidding mechanism with agent concept in computer field; under imperfect information model, dynaically optimized scheduling algorithm is put forward and optimized agile scheduling's project is obtained with the genetic algorithm.

本文正是在这种背景之下,结合智能计算领域的Agent概念,建立了把Agent技术与合同网投标机制结合构建了敏捷制造生产任务调度模型;在信息不完备模型下,提出动态调度优化算法,结合遗传算法求取敏捷调度的最优方案。

DRM,Which has inequation for schedulablity test,not only supports task with any QoS parameter,but also changes the scheduling priority of task during scheduling to reflect its pressure.

在系统过载时,DRM调度算法可以采用QoS退化机制,在保证紧要任务以及其所要求的最低QoS执行的同时,适当降低某些任务的服务等级,使得更多的任务可以有效运行,以此来提高系统对负载的适应性。最后,本文通过仿真实验,验证了DRM以及QoS退化机制的有效性。

Previous work on register pressure sensitive instruction scheduling generally scheduled instructions conservatively when there were too many live variables in the scheduling region.

前人的寄存器压力敏感的指令调度的方法,往往当调度区域内活跃变量个数超过阈值时一味保守地调度。

To this problem, the adaptive scheduling algorithms based on scheduling gain and online pulse interleaving are proposed.

针对这一问题,分别提出基于调度收益和基于在线脉冲交错的波束驻留自适应调度算法。

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