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dc.date.accessioned | 2020-02-26T16:41:03Z | |
dc.date.available | 2020-02-26T16:41:03Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | http://sedici.unlp.edu.ar/handle/10915/89663 | |
dc.description.abstract | The elementary shortest-path problem with time-windows and capac-ity constraints is a problem used for solving vehicle-routing and crew-scheduling applications. It occurs as a sub-problem used to implicitly generate the set of all feasible routes and schedules in the column-generation formulation of the vehicle routing problem with time windows and its variations. In the problem there is a directed graph with a source node and a destination node, and each arc has a cost and a vector of weights specifying its requirements of a resource with a finite capacity. A minimum cost source–destination directed path is sought such that the total consumption of the resource does not exceed the capacity. The problem ins NP-hard in the strong sense. We review integer-linear formulation to the problem and compare them in order to study their computational efficiency. | en |
dc.format.extent | 147-158 | es |
dc.language | en | es |
dc.subject | Shortest path problem | es |
dc.subject | Alternative formulations | es |
dc.subject | Column generation | es |
dc.title | On Alternative Formulations to the Shortest Path Problem with Time Windows and Capacity Constraints | en |
dc.type | Objeto de conferencia | es |
sedici.identifier.issn | 2618-3277 | es |
sedici.creator.person | Vitale, Ignacio | es |
sedici.creator.person | Dondo, Rodolfo | es |
sedici.subject.materias | Ciencias Informáticas | es |
sedici.description.fulltext | true | es |
mods.originInfo.place | Sociedad Argentina de Informática e Investigación Operativa | es |
sedici.subtype | Objeto de conferencia | es |
sedici.rights.license | Creative Commons Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0) | |
sedici.rights.uri | http://creativecommons.org/licenses/by-sa/3.0/ | |
sedici.date.exposure | 2019-09 | |
sedici.relation.event | I Simposio Argentino de Informática Industrial e Investigación Operativa (SIIIO 2019) - JAIIO 48 (Salta) | es |
sedici.description.peerReview | peer-review | es |