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Study on examination center scheduling problem based on genetic algorithm

机译:基于遗传算法的考试中心调度问题研究

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A new hybrid flow shop scheduling problem is studied, which is abstracted from the physical examination centre. The problem is characterized by multi-stage unrelated parallel rooms and continuous examination. Firstly, the math model of this hybrid scheduling problem is constructed. And then the computation method of examination period is given. In order to keep examining continuously, the examination period is obtained through reversely pushing from the examination scheduling problem with multistage unrelated parallel rooms and examining interruption. Then the scheduling results are obtained based on genetic algorithm and simulated annealing algorithm. Function objective of the proposed method was to minimize the examination period. Finally scheduling results based on two cases show that the method proposed in this paper is effective and feasible.
机译:研究了一个新的混合流水车间调度问题,该问题是从体检中心提取的。该问题的特点是多级无关的平行房间和连续检查。首先,构建了该混合调度问题的数学模型。然后给出了检查周期的计算方法。为了保持连续检查,通过从多级无关并行房间的检查调度问题中逆推并中断检查来获得检查时间。然后基于遗传算法和模拟退火算法获得调度结果。所提出的方法的功能目标是最小化检查时间。最后基于两种情况的调度结果表明,本文提出的方法是有效可行的。

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