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Optimization model and algorithm for China Railway High-Speed Maintenance Work order scheduling

机译:中铁高速维修工单调度的优化模型与算法

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Safety and efficiency are the fundamental requirements of China Railway High-speed (CRH). Maintenance of that is an important factor to ensure its safe and efficient operation. Because of the high-frequency operation, the maintenance time of CRH is short, and is subject to the constraint of time. So reasonable CRH maintenance plan and rational allocation of staff are proved to be critical. This paper first gives a mathematical description of the problem and establishes a model. Then it uses the virus genetic algorithm to find the answers. The virus genetic algorithm is verified with a capable for the scheduling optimization of reasonable maintenance work orders by a numerical example, obtaining the engineering solution before the deadline, thereby achieving the optimal configuration of human resources scheduling in the maintenance work order.
机译:安全和效率是中铁高速(CRH)的基本要求。对其进行维护是确保其安全有效运行的重要因素。由于高频操作,CRH的维护时间短,并且受时间限制。因此,合理的CRH维护计划和合理的人员分配被证明是至关重要的。本文首先对问题进行了数学描述并建立了模型。然后使用病毒遗传算法找到答案。通过算例验证了该病毒遗传算法具有优化合理维修工单的调度能力,并在截止日期之前获得了工程解决方案,从而实现了维修工单中人力资源调度的最优配置。

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