 | Up a level |
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.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
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.
Audet, C., Côté, P., Poissant, C., & Tribes, C. (2020). Monotonic grey box direct search optimization. Optimization Letters, 14(1), 3-18. External link
Audet, C., Côté, P., Poissant, C., & Tribes, C. (2019). Monotonic grey box optimization. (Technical Report n° G-2019-15). External link
Côté, P., Demeester, K., Orban, D., & Towhidi, M. (2017). Numerical methods for stochastic dynamic programming with application to hydropower optimization. (Technical Report n° G-2017-64). External link
Côté, P. (2010). Gestion d'un ensemble d'installations hydroélectriques soumis à une contrainte de demande [Ph.D. thesis, École Polytechnique de Montréal]. Available
Edom, É., Anjos, M. F., D'Ambrosio, C., van Ackooij, W., Côté, P., & Séguin, S. (2020). On the impact of the power production function approximation on hydropower maintenance scheduling. (Technical Report n° G-2020-22). External link
Rodriguez, J. A., Anjos, M. F., Côté, P., & Desaulniers, G. (2020). Accelerating Benders decomposition for short-term hydropower maintenance scheduling. European Journal of Operational Research, 289(1), 240-253. External link
Rodríguez Sarasty, J. A., Anjos, M. F., Côté, P., & Desaulniers, G. (2018). Stochastic hydropower generator maintenance scheduling via Benders decomposition. (Technical Report n° G-2018-32). External link
Rodríguez Sarasty, J. A., Anjos, M. F., Côté, P., & Desaulniers, G. (2017). MILP formulations for generator maintenance scheduling in hydropower systems. (Technical Report n° G-2017-63). External link
Rodríguez, J. A., Anjos, M. F., Audet, C., & Côté, P. (2016, June). A decomposition approach for the hydropower operation and maintenance scheduling [Poster]. Workshop on Nonlinear Optimization Algorithms and Industrial Applications, Toronto, Ontario. Unavailable
Séguin, S., Audet, C., & Côté, P. (2017). Scenario-tree modeling for stochastic short-term hydropower operations planning. Journal of Water Resources Planning and Management, 143(12), 12 pages. External link
Séguin, S., Fleten, S.-E., Côté, P., Pichler, A., & Audet, C. (2017). Stochastic short-term hydropower planning with inflow scenario trees. European Journal of Operational Research, 259(3), 1156-1168. External link
Séguin, S., Audet, C., & Côté, P. (2016). Scenario tree modeling for stochastic short-term hydropower operations planning. (Technical Report n° G-2016-54). External link
Séguin, S., Fleten, S.-E., Côté, P., Pichler, A., & Audet, C. (2016). Stochastic short-term hydropower planning with inflow scenario trees. (Technical Report n° G-2015-97). External link
Séguin, S., Côté, P., & Audet, C. (2016). Self-Scheduling Short-Term Unit Commitment and Loading Problem. IEEE Transactions on Power Systems, 31(1), 133-142. External link
Séguin, S., Côté, P., & Audet, C. (2014). Short-term unit commitment and loading problem. (Technical Report n° G-2014-21). External link
