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Probabilistic Traveling Salesman Problem with Deadlines

机译:截止日期的概率旅行商问题

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Time-constrained deliveries are one of the fastest growing segments of the delivery business, and yet there is surprisingly little literature that addresses time constraints in the context of stochastic customer presence. We begin to fill that void by introducing the probabilistic traveling salesman problem with deadlines (PTSPD). The PTSPD is an extension of the well-known probabilistic traveling salesman problem (PTSP) in which, in addition to stochastic presence, customers must also be visited before a known deadline. We present two recourse models and a chance constrained model for the PTSPD. Special cases are discussed for each model, and computational experiments are used to illustrate under what conditions stochastic and deterministic models lead to different solutions.
机译:受时间限制的交付是交付业务增长最快的部分之一,但是令人惊讶的是,很少有文献可以解决随机客户存在的时间约束问题。我们通过引入带有截止日期的概率旅行商问题来填补这一空白。 PTSPD是众所周知的概率旅行推销员问题(PTSP)的扩展,其中,除了随机存在外,还必须在已知的截止日期之前拜访客户。我们为PTSPD提出了两种追索模型和机会约束模型。针对每种模型讨论了特殊情况,并使用计算实验来说明在什么条件下随机和确定性模型会导致不同的解决方案。

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