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  • 标题:A Genetic Algorithm for Assigning Train Arrival Dates at a Maintenance Centre
  • 本地全文:下载
  • 作者:Hanyu Gu ; Mark Joyce ; Hue Chi Lam
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:13
  • 页码:957-962
  • DOI:10.1016/j.ifacol.2019.11.318
  • 语种:English
  • 出版社:Elsevier
  • 摘要:The paper is concerned with planning heavy maintenance of train-sets at a maintenance centre. The heavy maintenance process is complex and, for each train-set, the actual duration of maintenance is uncertain at the time of planning. The allocation of the dates when train-sets should arrive at the maintenance centre is crucial phase of the planning procedure. The objective function is a weighted sum of two components, the expected total penalty for not meeting the required number of train-sets in active service and the total cost for the deviation (earliness and tardiness) from the desired dates of arrival. A genetic algorithm is presented for the considered problem and its effectiveness is demonstrated by the computational experiments that used real-world data provided by a big maintenance centre.
  • 关键词:KeywordsPlanning of trains maintenanceEarlinesstardinessGenetic algorithm
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