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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.
Desaulniers, G., Prescott-Gagnon, É., & Rousseau, L.-M. (2010, June). Large neighborhood search heuristics for propane delivery [Paper]. 7th Triennal Symposium on Transportation Analysis (Tristan VII), Tromsø, Norway. External link
Desaulniers, G., Prescott-Gagnon, É., & Rousseau, L.-M. (2007, June). A large neighborhood search algorithm for the vehicle routing problem with time windows [Paper]. 6th Triennial Symposium on Transportation Analysis (TRISTAN VI), Phuket, Thailand. External link
Gauthier Melancon, G., Grangier, P., Prescott-Gagnon, É., Sabourin, E., & Rousseau, L.-M. (2021). A Machine Learning-Based System for Predicting Service-Level Failures in Supply Chains. Interfaces, 51(3), 200-212. External link
Prescott-Gagnon, É., Desaulniers, G., & Rousseau, L.-M. (2014). Heuristics for an oil delivery vehicle routing problem. Flexible Services and Manufacturing Journal, 26(4), 516-539. External link
Prescott-Gagnon, É. (2011). Méthodes hybrides basées sur la génération de colonnes pour des problèmes de tournées de véhicules avec fenêtres de temps [Ph.D. thesis, École Polytechnique de Montréal]. Available
Prescott-Gagnon, É., Desaulniers, G., & Rousseau, L.-M. (2010). Heuristics for an Oil Delivery Vehicle routing Problem. (Technical Report n° G-2010-63). External link
Prescott-Gagnon, É., Desaulniers, G., Drexl, M., & Rousseau, L.-M. (2010). European Driver Rules in Vehicle Routing With Time Windows. Transportation Science, 44(4), 455-473. External link
Prescott-Gagnon, É., Desaulniers, G., Drexl, M., & Rousseau, L.-M. (2009). European Driver Rules in Vehicle Routing with Time Windows. (Technical Report n° G-2009-68). External link
Prescott-Gagnon, É., Desaulniers, G., & Rousseau, L.-M. (2007). A Branch-and-Price-Based Large Neighborhood Search Algorithm for the Vehicle Routing Problem with Time Windows. (Technical Report n° G-2007-67). External link
Prescott-Gagnon, É., Desaulniers, G., & Rousseau, L.-M. (2007, June). A large neighbourhood algorithm for the vehicle routing problem with time windows [Paper]. 7th Metaheuristic International Conference (MIC 2007), Montréal, Québec. Unavailable
