Thesis: Algorithms based on heuristics for solving the train departure matching problem
| datacite.subject.fos | Natural sciences::Computer and information sciences | |
| datacite.subject.fos | Engineering and technology | |
| dc.contributor.correferente | Castro Valdebenito, Carlos | |
| dc.contributor.department | Departamento de Informática | |
| dc.contributor.guia | Riff Rojas, Maria Cristina | |
| dc.contributor.other | Castro Valdebenito, Carlos Miguel | |
| dc.coverage.spatial | Campus Casa Central Valparaíso | |
| dc.creator | Rojas Ruz, Alondra Valentina | |
| dc.date.accessioned | 2025-09-09T14:20:15Z | |
| dc.date.available | 2025-09-09T14:20:15Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | The Train Departure Matching Problem (DMP) is a problem of train schedulingwhere the objective is find the best way to assign trains to scheduled departuressubject to a set of constraints related to railway management. It is a problem thatarises from the rolling stock units management on railway sites problem, presented inthe ROADEF/EURO Challenge 2014, which is usually treated as two sub-problems:The DMP and the routing problem. In this work the DMP is formally presented:the model of the DMP, a review of the literature of this problem and other trainscheduling problems, then present the GRASP algorithm (G-DMP) and theEvolutionaryAlgorithm (AE-DMP) capable of solving this problem and then evaluate itsperformance in different experiments. | en_US |
| dc.description.abstract | El problema de asignación de salidas de trenes (DMP por sus siglas en inglés)es un problema de planificación de trenes, donde el objetivo es encontrar la mejormanera de asignar trenes a salidas programadas, sujetas a un conjunto de restriccionesrelacionadas con la gestión ferroviaria. Este es un problema que surge delrolling stock units management on railway sites problem presentado en el DesafíoROADEF/EURO 2014, el cual se suele tratar como dos sub-problemas: El DMP yun problema de planificación de rutas. En este trabajo se presenta formalmente elDMP, indicando su modelo, los estudios realizados a la fecha sobre este problema yotros problemas de gestión de trenes relacionados, para luego presentar la propuestade un algoritmo tipo GRASP (G-DMP) y un Algoritmo Evolutivo (AE-DMP)para resolver este problema y luego evaluar su desempeño por medio de diferentesexperimentos. | es |
| dc.description.degree | Magíster en Ciencias de la Ingeniería Informática | |
| dc.driver | info:eu-repo/semantics/masterThesis | |
| dc.format.extent | 71 páginas | |
| dc.identifier.doi | 10.71959/4cwa-m594 | |
| dc.identifier.uri | https://cris.usm.cl/handle/123456789/4038 | |
| dc.identifier.uri | https://doi.org/10.71959/4cwa-m594 | |
| dc.language.iso | es | |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | algoritmo evolutivo | |
| dc.subject | departure matching problem | |
| dc.subject | GRASP | |
| dc.subject.ods | 9 Industria, innovación e infraestructura | |
| dc.subject.ods | 11 Ciudades y comunidades sostenibles | |
| dc.subject.ods | 12 Producción y consumo responsables | |
| dc.subject.ods | 13 Acción por el clima | |
| dc.title | Algorithms based on heuristics for solving the train departure matching problem | |
| dspace.entity.type | Tesis |
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