A Branch-Price-and-Cut algorithm for the Multi-Commodity two-echelon Distribution Problem

Autor: Matteo Petris, Claudia Archetti, Diego Cattaruzza, Maxime Ogier, Frédéric Semet

Publikováno v: EURO Journal on Transportation and Logistics, Vol 13, Iss , Pp 100139- (2024)

In the Multi-Commodity two-echelon Distribution Problem (MC2DP), multiple commodities are distributed in a two-echelon distribution system involving suppliers, distribution centres and customers. Each supplier may provide different commodities and ea

Externí odkaz: https://doaj.org/article/b3a08e3f253440dfa803dda7d60dfe58

Optimization of human-aware logistics and manufacturing systems: A survey on the Human-Aware Models

Autor: Thibault Prunet, Nabil Absi, Valeria Borodin, Diego Cattaruzza

Publikováno v: EURO Journal on Transportation and Logistics, Vol 13, Iss , Pp 100137- (2024)

Historically, Operations Research (OR) discipline has mainly been focusing on economic concerns. Since the early 2000s, human considerations are gaining increasing attention, pushed by the growing societal concerns of sustainable development on the s

Externí odkaz: https://doaj.org/article/43712863cc354bddac34c47745c3bc96

Enhancing MOEA/D with Learning: Application to Routing Problems with Time Windows

Autor: Clément Legrand, Diego Cattaruzza, Laetitia Jourdan, Marie-Eléonore Kessaci

Publikováno v: GECCO 2022-The Genetic and Evolutionary Computation Conference
GECCO 2022-The Genetic and Evolutionary Computation Conference, Jul 2022, Boston, United States. ⟨10.1145/3520304.3528909⟩

International audience; Integrating machine learning (ML) techniques into metaheuristics is an efficient approach in single-objective optimization. Indeed, high-quality solutions often contain relevant knowledge, that can be used to guide the heurist

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6139f901432bde511dbeaf01ae16e46c
https://hal.science/hal-03791804/document

Using Machine Learning to Enhance Clarke and Wright Heuristic

Autor: Clément Legrand, Luca Accorsi, Vigo Daniele, Diego Cattaruzza, Marie-Eléonore Kessaci, Laetitia Jourdan

Publikováno v: Conférence ROADEF 2021
Conférence ROADEF 2021, Apr 2021, Mulhouse, France
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National audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::34bc631bb80d5bd85dafb9625b3b7d1a
https://hal.science/hal-03472209

A column generation based heuristic for the generalized vehicle routing problem with time windows

Autor: Diego Cattaruzza, Daniele Vigo, Frédéric Semet, Maxime Ogier, Yuan Yuan

Publikováno v: Transportation Research Part E: Logistics and Transportation Review
Transportation Research Part E: Logistics and Transportation Review, Elsevier, 2021, 152, pp.102391. ⟨10.1016/j.tre.2021.102391⟩
Transportation Research Part E: Logistics and Transportation Review, 2021, 152, pp.102391. ⟨10.1016/j.tre.2021.102391⟩
Journées de l'Optimisation 2019
Journées de l'Optimisation 2019, May 2019, Montréal, Canada
Transportation Research Part E: Logistics and Transportation Review, 152:102391, 1-24. Elsevier Limited
Yuan, Y, Cattaruzza, D, Ogier, M, Semet, F & Vigo, D 2021, ' A column generation based heuristic for the generalized vehicle routing problem with time windows ', Transportation Research Part E: Logistics and Transportation Review, vol. 152, 102391, pp. 1-24 . https://doi.org/10.1016/j.tre.2021.102391
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The generalized vehicle routing problem with time windows (GVRPTW) is defined on a directed graph G = ( V , A ) where the vertex set V is partitioned into clusters. One cluster contains only the depot, where is located a homogeneous fleet of vehicles

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e8cb486951405ab94ed374eddc07f49
https://hal.archives-ouvertes.fr/hal-03439212