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  • 标题:Determination of robust solutions for the DARP with variations in transportation time
  • 本地全文:下载
  • 作者:M. Chassaing ; G. Fleury ; C. Duhamel
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2016
  • 卷号:49
  • 期号:12
  • 页码:943-948
  • DOI:10.1016/j.ifacol.2016.07.897
  • 语种:English
  • 出版社:Elsevier
  • 摘要:The aim of this paper is to address the Dial-A-Ride Problem with stochastic transportation time between nodes. These transportation times are modeled by a Gaussian distribution. We propose a framework based on an Evolutionary Local Search to find robust solutions which can withstand variations due to the stochasticity. Our method uses a law approach to solve this problem and a simulation part to support the results. The robustness of the best known solutions published for the Deterministic Dial-a-Ride Problem on instances proposed by (Cordeau and Laporte, 2003) is first analyzed. Computational results from the Evolutionary Local Search on the Stochastic Dial-a-Ride Problem are then presented.
  • 关键词:dial-a-ridetransportstochastic travel timemetaheuristic
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