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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
Use the mouse wheel or scroll gestures to zoom into the graph.
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Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Gmira, M., Gendreau, M., Lodi, A., & Potvin, J.-Y. (2022, June). Managing in real-time a vehicle routing plan with time-dependent travel times on a road network [Paper]. 11th Triennial Symposium on Transportation Analysis conference (TRISTAN XI), Mauritius Island (4 pages). External link
Gmira, M., Gendreau, M., Lodi, A., & Potvin, J.-Y. (2021). Managing in real-time a vehicle routing plan with time-dependent travel times on a road network. Transportation Research Part C: Emerging Technologies, 132, 15 pages. External link
Gmira, M., Gendreau, M., Lodi, A., & Potvin, J.-Y. (2020). Travel speed prediction based on learning methods for home delivery. EURO Journal on Transportation and Logistics, 9(4), 100006 (16 pages). Available
Gmira, M., Gendreau, M., Lodi, A., & Potvin, J.-Y. (2020). Tabu search for the time-dependent vehicle routing problem with time windows on a road network. European Journal of Operational Research, 288(1), 129-140. External link
Gmira, M. (2019). Confection de tournées de livraison dans un réseau urbain à l'aide de métaheuristiques et de méthodes de forage de données massives [Ph.D. thesis, Polytechnique Montréal]. Available
Gmira, M., Gendreau, M., Lodi, A., & Potvin, J.-Y. (2019). Managing in real-time a vehicle routing plan with time-dependent travel times on a road network. (Technical Report n° CIRRELT-2019-45). External link
Gmira, M., Gendreau, M., Lodi, A., & Potvin, J.-Y. (2019). Tabu search for the time-dependent vehicle routing problem with time windows on a road network. (Technical Report n° CIRRELT-2019-32). External link
Gendreau, M., Lodi, A., Potvin, J.-Y., & Gmira, M. (2019, June). Time-Dependent Vehicle Routing Problem with Time Windows on a Road Network [Paper]. 10th Triennial Symposium on Transportation Analysis conference (TRISTAN X), Hamilton Island, Australia (4 pages). External link
Gmira, M., Gendreau, M., Lodi, A., & Potvin, J.-Y. (2018). Travel speed prediction based on learning methods for home delivery. (Technical Report n° CIRRELT-2018-46). External link
Gmira, M., Gendreau, M., Lodi, A., & Potvin, J.-Y. (2018). Travel speed prediction based on learning methods for home delivery. (Technical Report n° DS4DM-2018-012). Unavailable
Gmira, M., Gendreau, M., Lodi, A., & Potvin, J.-Y. (2017, October). Travel speed prediction using machine learning techniques [Paper]. ITS World Congress, Montréal, Québec (10 pages). Unavailable
