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STUDY ON CREW SCHEDULING MODEL FOR THE PASSENGER DEDICATED LINE

机译:客运专线机组排班模型的研究

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摘要

Crew scheduling of the passenger dedicated line is the daily work plan of train attendants, and crew scheduling problem is one of the key problems of the train crew management. Considering the actual condition of China's railway and crew rules, a crew scheduling model is established in this paper to minimize rest time between two consecutive shifts in all roundtrips. In order to solve the scheduling model, in this paper a serial-parallel ant colony optimization algorithm (SP-ACO) is provided. The SP-ACO proposed two improvements: (1) a serial-parallel ant grouping strategy, it means that we let every group of ants find the solution one group by one group for reflecting the positive feedback in a generation; (2) the transition method based on the roulette wheel selection, it means that we randomly select between the certain search and the roulette wheel to make the diversity of solutions for avoiding all ants toward the same part of the search space. Finally, two application cases of the scheduling model are represented. The two cases results show that the methods can not only automatically set roundtrips, but also decrease the number of roundtrips, and the results also show that the feasibility of model and the validity of improved ant colony algorithm for crew scheduling.
机译:旅客专用线机组调度是乘务员的日常工作计划,机组调度问题是机组管理的关键问题之一。考虑到中国铁路和机组规则的实际情况,本文建立了机组调度模型,以使所有往返两次连续轮班之间的休息时间最小化。为了解决调度模型,本文提出了一种串行-并行蚁群优化算法(SP-ACO)。 SP-ACO提出了两项​​改进:(1)串行-并行蚂蚁分组策略,这意味着我们让每一组蚂蚁一组一组地找到解决方案,以反映一代人的积极反馈; (2)基于轮盘选择的过渡方法,这意味着我们在特定搜索和轮盘之间随机选择,以使解决方案具有多样性,从而避免所有蚂蚁都朝向搜索空间的同一部分。最后,给出了调度模型的两个应用案例。两种情况的结果表明,该方法不仅可以自动设置往返次数,而且可以减少往返次数,并且还表明该模型的可行性和改进的蚁群算法在机组调度中的有效性。

著录项

  • 来源
  • 作者单位

    Software Institute, Dalian Jiaotong University No. 794 Huanghe Road, Dalian, Liaoning Province 116028, P. R. China;

    Software Institute, Dalian Jiaotong University No. 794 Huanghe Road, Dalian, Liaoning Province 116028, P. R. China;

    Software Institute, Dalian Jiaotong University No. 794 Huanghe Road, Dalian, Liaoning Province 116028, P. R. China;

    Software Institute, Dalian Jiaotong University No. 794 Huanghe Road, Dalian, Liaoning Province 116028, P. R. China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    passenger dedicated line; crew scheduling model; ant colony algorithm; SP-ACO;

    机译:客运专线;机组调度模型;蚁群算法;SP-ACO;

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