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This 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.
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A 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.
Ahabchane, C., Langevin, A., & Trépanier, M. (2021). Robust optimization for the hierarchical mixed capacitated general routing problem applied to winter road maintenance. Computers and Industrial Engineering, 158, 10 pages. External link
Ahabchane, C. (2020). Problèmes de tournées en viabilité hivernale utilisant la prévision des volumes d'épandage [Ph.D. thesis, Polytechnique Montréal]. Available
Ahabchane, C., Langevin, A., & Trépanier, M. (2020). The mixed capacitated general routing problem with time-dependent demands. Networks, 76(4), 467-484. External link
Ahabchane, C., Trépanier, M., & Langevin, A. (2018). Street-segment-based salt and abrasive prediction for Winter maintenance using machine learning and GIS. Transactions in GIS, 23(1), 48-69. External link
Ahabchane, C. (2015). Développement d'indicateurs de performance sur les opérations d'épandage de fondants et d'abrasifs sur réseau routier à partir de données de télémétrie [Master's thesis, École Polytechnique de Montréal]. Available
Ghali, M. R., Frayret, J.-M., & Ahabchane, C. (2017). Agent-Based Model of Self-Organized Industrial Symbiosis. (Technical Report n° CIRRELT-2017-12). External link
Ghali, M. R., Frayret, J.-M., & Ahabchane, C. (2017). Agent-based model of self-organized industrial symbiosis. Journal of Cleaner Production, 161, 452-465. External link