The vehicle routing problem with release and due dates
The vehicle routing problem with release and due dates
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.
vehicle routing and scheduling , weighted tardiness, release dates, path relinking, hybrid population-based metaheuristics
705-723
Shelbourne, Benjamin C.
d321c4df-36d0-47c6-ac05-0a1bc87a2f91
Battarra, Maria
6ba9ac66-7d49-4849-b745-b4477b583acd
Potts, Christopher
58c36fe5-3bcb-4320-a018-509844d4ccff
Shelbourne, Benjamin C.
d321c4df-36d0-47c6-ac05-0a1bc87a2f91
Battarra, Maria
6ba9ac66-7d49-4849-b745-b4477b583acd
Potts, Christopher
58c36fe5-3bcb-4320-a018-509844d4ccff
Shelbourne, Benjamin C., Battarra, Maria and Potts, Christopher
(2017)
The vehicle routing problem with release and due dates.
INFORMS Journal on Computing, 29 (4), .
(doi:10.1287/ijoc.2017.0756).
Abstract
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.
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More information
Accepted/In Press date: 27 February 2017
e-pub ahead of print date: 30 August 2017
Keywords:
vehicle routing and scheduling , weighted tardiness, release dates, path relinking, hybrid population-based metaheuristics
Identifiers
Local EPrints ID: 420886
URI: http://eprints.soton.ac.uk/id/eprint/420886
ISSN: 0899-1499
PURE UUID: a2ad3544-4dc9-4ea2-bddc-8e9b58e932a7
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Date deposited: 17 May 2018 16:30
Last modified: 15 Mar 2024 19:43
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Author:
Benjamin C. Shelbourne
Author:
Maria Battarra
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