Branch-and-cut for the split delivery vehicle routing problem with time windows
- Publication type:
- Journal article
- Metadata:
-
- Autoren
- Nicola Bianchessi
- Stefan Irnich
- Sammlungen
- metadata
- ISSN
- 1526-5447
- Ausgabe der Veröffentlichung
- 2
- Zeitschrift
- Transportation science
- Schlüsselwörter
- 330 Wirtschaft
- 330 Economics
- Sprache
- eng
- Paginierung
- Seiten: 442 - 462
- Datum der Veröffentlichung
- 2019
- Herausgeber
- INFORMS
- Herausgeber URL
- http://dx.doi.org/10.1287/trsc.2018.0825
- Datum der Datenerfassung
- 2020
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2020
- Zugang
- Public
- Titel
- Branch-and-cut for the split delivery vehicle routing problem with time windows
- Ausgabe der Zeitschrift
- 53
Data source: METADATA.UB
- Other metadata sources:
-
- Autoren
- Nicola Bianchessi
- Stefan Irnich
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000465151000007&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.1287/trsc.2018.0825
- Externe Identifier
- Clarivate Analytics Document Solution ID: HU3DE
- ISSN
- 0041-1655
- Ausgabe der Veröffentlichung
- 2
- Zeitschrift
- TRANSPORTATION SCIENCE
- Schlüsselwörter
- vehicle routing problem
- split delivery
- time windows
- valid inequalities
- Paginierung
- 442 - 462
- Datum der Veröffentlichung
- 2019
- Status
- Published
- Titel
- Branch-and-Cut for the Split Delivery Vehicle Routing Problem with Time windows
- Sub types
- Article
- Ausgabe der Zeitschrift
- 53
Data source: Web of Science (Lite)
- Abstract
- <jats:p> The split delivery vehicle routing problem with time windows (SDVRPTW) is a notoriously hard combinatorial optimization problem. First, it is hard to find a useful compact mixed-integer programming (MIP) formulation for the SDVRPTW. Standard modeling approaches either suffer from inherent symmetries (mixed-integer programs with a vehicle index) or cannot exactly capture all aspects of feasibility. Because of the possibility to visit customers more than once, the standard mechanisms to propagate load and time along the routes fail. Second, the lack of useful formulations has rendered any direct MIP-based approach impossible. Up to now, the most effective exact algorithms for the SDVRPTW have been branch-and-price-and-cut approaches using path-based formulations. In this paper, we propose a new and tailored branch-and-cut algorithm to solve the SDVRPTW. It is based on a new, relaxed compact model, in which some integer solutions are infeasible for the SDVRPTW. We use known and introduce some new classes of valid inequalities to cut off such infeasible solutions. One new class is path-matching constraints that generalize infeasible-path constraints. However, even with the valid inequalities, some integer solutions to the new compact formulation remain to be tested for feasibility. For a given integer solution, we build a generally sparse subnetwork of the original instance. On this subnetwork, all time-window-feasible routes can be enumerated, and a path-based residual problem then solved to decide on the selection of routes, the delivery quantities, and thereby the overall feasibility. All infeasible solutions need to be cut off. For this reason, we derive some strengthened feasibility cuts exploiting the fact that solutions often decompose into clusters. Computational experiments show that the new approach is able to prove optimality for several previously unsolved instances from the literature. </jats:p><jats:p> The e-companion is available at https://doi.org/10.1287/trsc.2018.0825 . </jats:p>
- Autoren
- Nicola Bianchessi
- Stefan Irnich
- DOI
- 10.1287/trsc.2018.0825
- eISSN
- 1526-5447
- ISSN
- 0041-1655
- Ausgabe der Veröffentlichung
- 2
- Zeitschrift
- Transportation Science
- Sprache
- en
- Paginierung
- 442 - 462
- Datum der Veröffentlichung
- 2019
- Status
- Published
- Herausgeber
- Institute for Operations Research and the Management Sciences (INFORMS)
- Herausgeber URL
- http://dx.doi.org/10.1287/trsc.2018.0825
- Datum der Datenerfassung
- 2023
- Titel
- Branch-and-Cut for the Split Delivery Vehicle Routing Problem with Time Windows
- Ausgabe der Zeitschrift
- 53
Data source: Crossref
- Autoren
- Nicola Bianchessi
- Stefan Irnich
- DOI
- 10.1287/trsc.2018.0825
- Zeitschrift
- Transp. Sci.
- Artikelnummer
- 2
- Paginierung
- 442 - 462
- Datum der Veröffentlichung
- 2019
- Titel
- Branch-and-Cut for the Split Delivery Vehicle Routing Problem with Time Windows.
- Ausgabe der Zeitschrift
- 53
Data source: DBLP
- Beziehungen:
- Property of