The Vehicle Routing Problem with Release and Due Dates
Autor: | Chris N. Potts, Maria Battarra, Benjamin C. Shelbourne |
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Rok vydání: | 2017 |
Předmět: |
Mathematical optimization
Machine scheduling 021103 operations research Customer order Computer science Vehicle routing problem 0211 other engineering and technologies 0202 electrical engineering electronic engineering information engineering General Engineering Scheduling (production processes) 020201 artificial intelligence & image processing 02 engineering and technology |
Zdroj: | Shelbourne, B, Battarra, M & Potts, C N 2017, ' The Vehicle Routing Problem with Release and Due Dates ', INFORMS Journal on Computing, vol. 29, no. 4, pp. 705-723 . https://doi.org/10.1287/ijoc.2017.0756 |
ISSN: | 1526-5528 1091-9856 |
DOI: | 10.1287/ijoc.2017.0756 |
Popis: | 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. The online supplement is available at https://doi.org/10.1287/ijoc.2017.0756 . |
Databáze: | OpenAIRE |
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