Branch-and-price algorithms for the bi-objective vehicle routing problem

Autor: Jozefowiez, Nicolas, Ngueveu, Sandra Ulrich, Glize, Estèle
Přispěvatelé: Laboratoire de Conception, Optimisation et Modélisation des Systèmes (LCOMS), Université de Lorraine (UL), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées, Équipe Recherche Opérationnelle, Optimisation Combinatoire et Contraintes (LAAS-ROC), Laboratoire d'analyse et d'architecture des systèmes (LAAS), Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse 1 Capitole (UT1), Université de Toulouse (UT), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole)
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Odysseus 2018 Seventh International Workshop on Freight Transportation and Logistics
Odysseus 2018 Seventh International Workshop on Freight Transportation and Logistics, Jun 2018, Cagliari, Italy. 4p
Odysseus 2018 Seventh International Workshop on Freight Transportation and Logistics, Jun 2018, Cagliari, Italy
Popis: International audience; This paper presents an exact method for the bi-objective Vehicle Routing Problem (BOVRP) where the objectives are to minimize two different lengths on the routes like the travel distance and the cost of the journey. These two objectives can be conflictive: in motor vehicle, the travel time differs from the fuel consumption. Many industrials are interested in finding a good compromise. So the BOVRP presenting two different costs c 1 and c 2 on each route is a relevant challenge. The multi-objective VRP (MOVRP) is more and more studied. But due to its complexity and the possibility of objective functions (number of vehicles, fairness...), this particular case has not been explored yet. A complete survey of MOVRP can be found in Jozefowiez et al. [1]. Reiter and Gutjahr [2] has solved exactly the BOVRP minimizing the distance and the length of the longest route using an adaptive-constraint method. In the larger scope of multi-objective integer programming, exact methods are divided into two classes: methods working on the feasible solutions space [3] and those working on the objective functions space [4]. These last methods solve a sequence of mono-objective problem and so, lean on their efficiency on single-objective integer programming solver. The-constraint method is one of the most effective objective space search algorithm [2, 5]. The main idea of this paper is to propose a competitive method for finding the complete and exact Pareto front of BOVRP where the objectives are to minimize the total lengths of the journey, mainly in clustered graph.
Databáze: OpenAIRE