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  • 标题:A hybrid approach for scheduling transportation networks
  • 本地全文:下载
  • 作者:Mahjoub Dridi ; Imed Kacem
  • 期刊名称:International Journal of Applied Mathematics and Computer Science
  • 电子版ISSN:2083-8492
  • 出版年度:2004
  • 卷号:14
  • 期号:3
  • 出版社:De Gruyter Open
  • 摘要:In this paper, we consider a regulation problem of an urban transportation network. From a given timetable, we aim to find a new schedule of multiple vehicles after the detection of a disturbance at a given time. The main objective is to find a solution maximizing the level of service for all passengers. This problem was intensively studied with evolutionary approaches and multi-agent techniques, but without identifying its type before. In this paper, we formulate the problem as a classical one in the case of an unlimited vehicle capacity. In the case of a limited capacity and an integrity constraint, the problem becomes difficult to solve. Then, a new coding and well-adapted operators are proposed for such a problem and integrated in a new evolutionary approach
  • 关键词:transportation systems; traffic regulation; genetic algorithms; multi-criteria optimization
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