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Optimization Model and Algorithm for China Railway High-Speed Maintenance Job Work Order Scheduling

机译:中国铁路高速维护工作工作订单调度优化模型与算法

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Safety and efficiency are the fundamental requirements of China Railway High-speed and its maintenance. And 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:安全性和效率是中国铁路高速及其维护的根本要求。 CRH的维护时间短,并且受到时间的约束。事实证明,已合理的CRH维护计划和合理的员工分配是至关重要的。本文首先给出了问题的数学描述并建立了模型。然后它使用病毒遗传算法来找到答案。通过一种能力通过数值示例进行了能够进行合理维护工作订单的调度优化的病毒遗传算法,从而在截止日期之前获得工程解决方案,从而在维护工作单中实现人力资源调度的最佳配置。

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