The Vehicle Routing Problem with Release and Due Dates

Benjamine Shelbourne, Maria Battarra, Chris N. Potts

Research output: Contribution to journalArticlepeer-review

33 Citations (SciVal)
264 Downloads (Pure)


A novel extension of the classical vehicle routing and scheduling problems is introduced that integrates aspects of machine scheduling into vehicle routing. Associated with each customer order is a release date that defines the earliest time that the order is available to leave the depot for delivery and a due date that indicates the time by which the order should ideally be delivered to the customer. The objective is to minimize a convex combination of the operational costs and customer service level, represented by the total distance traveled and the total weighted tardiness of delivery, respectively. A path-relinking algorithm (PRA) is proposed to address the problem, and a variety of benchmark instances are generated to evaluate its performance. The PRA exploits the efficiency and aggressive improvement of neighborhood search but relies on a new path-relinking procedure and advanced population management strategies to navigate the search space effectively. To provide a comparator algorithm to the PRA, we embed the neighborhood search into a standard iterated local search algorithm (ILS). Extensive computational experiments on the benchmark instances show that the newly defined features have a significant and varied impact on the problem, and the performance of the PRA dominates that of the ILS algorithm.
Original languageEnglish
Pages (from-to)705 - 723
JournalINFORMS Journal on Computing
Issue number4
Publication statusPublished - 30 Aug 2017


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