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  • 标题:A multi-objective robust optimization model for the capacitated P-hub location problem under uncertainty ,
  • 本地全文:下载
  • 作者:Ahmad Makui ; Mohammad Rostami ; Ehsan Jahani
  • 期刊名称:Management Science Letters
  • 印刷版ISSN:1923-9335
  • 电子版ISSN:1923-9343
  • 出版年度:2012
  • 卷号:2
  • 期号:2
  • 页码:525-534
  • DOI:10.5267/j.msl.2011.12.014
  • 出版社:Growing Science
  • 摘要:Uncertainty plays an important role on many engineering problems and there is a growing interest in having reliable solutions especially for problems with sensitive parameters. The paper presents a robust optimization (RO) model for multi-objective operation of capacitated P-hub location problems (MCpHLP) under uncertainty set. There are, at least, two parameters in any P-hub problems, which are under uncertainty. The first one is associated with demand and the second one is the amount of time required to process commodities. We present a scenario based robust optimization technique, where these two items are considered under various scenario and a RO is implemented to find reliable solutions. The implementation of the proposed RO model is demonstrated for an example using weighting method
  • 关键词:Robust Optimization; Hub Location Multi-Objective Problems; Uncertainty; Capacitated
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