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以上来源于: WordNet
Q-learning was applied to resolution of the adaptive dispatching rule selection problem under dynamic single-machine scheduling environment.
提出了一种利用Q-学习解决动态单机调度环境下的自适应调度规则选择的方法。
Through the analysis of the problem, it is proved that the problem is equivalent to a single-machine scheduling for minimizing an analogous function of delay.
基于对问题的分析,证明了这一问题等价于单机调度中极小化类似的延迟量函数。
Minimize the total weighted completion time single machine scheduling problems.
最小化加权总完工时间的单机排序问题。
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