Veuillez également consulter cette page pour la liste et les liens mis à jour:

Remarque : Les articles soumis pour les examens à double insu ne sont pas inclus.

  • Zhang, G., Zhu, N., Ma, S., Adulyasak, Y., 2020. Robust Drone Selective Routing Problem in Humanitarian Transportation Network Assessment. (soumis)
  • Cheng, C., Adulyasak, Y., Rousseau, L.-M., Sim, M. 2020. Robust Drone Delivery with Weather Information. (soumis)
  • Cheng, C., Adulyasak, Y., Rousseau, L.-M., 2019. Robust Facility Location under Disruptions. (en révision à INFORMS Journal on Optimization)
  • Martinez, K., Adulyasak, Y., Jans, R., 2019. Logic–Based Benders Reformulations for Integrated Process Configuration and Production Planning Problems. (en révision à INFORMS Journal on Computing)
  • Cheng, C., Adulyasak, Y., Rousseau, L.-M., 2019. Robust Facility Location Under Demand Uncertainty and Facility Disruptions. (en révision à Omega: The International Journal of Management Science)
  • Thevenin, S., Adulyasak, Y., Cordeau, J.-F., 2020. Material Requirements Planning Under Demand Uncertainty Using Stochastic Optimization. Production and Operations Management (à paraître).
  • Sereshti, N., Adulyasak, Y., Jans, R., 2020. The Value of Aggregate Service Levels in Stochastic Lot Sizing Problem. Omega: The International Journal of Management Science (à paraître).
  • Yu, Q., Adulyasak, Y., Rousseau, L.-M., Zhu, N., Ma, S., 2020. Team Orienteering with Time-Varying Profit. INFORMS Journal on Computing (à paraître).
  • Hoogeboom, M., Adulyasak, Y., Dullaert, W., Jaillet, P. 2020. The Robust Vehicle Routing Problem with Time Window Assignments. Transportation Science (à paraître).
  • Yarkony, J., Adulyasak, Y., Singh, M., Desaulniers, G. 2020. Data Association via Set Packing for Computer Vision Applications. INFORMS Journal on Optimization 2(3).
  • Cheng, C., Adulyasak, Y., Rousseau, L.-M., 2020. Drone Routing with Energy Function: Formulation and Exact Algorithm. Transportation Research Part B: Methodological 139. 364-387.
  • Nguyen, D.-T., Adulyasak, Y., Landry, S., 2019. Bullwhip Effect in Rule-Based Supply Chain Planning Systems: A Case-Based Simulation at a Hard Goods Retailer. Omega: The International Journal of Management Science. (sous presse).
  • Martinez, K., Adulyasak, Y., Jans, R., Morabito, R., Toso,  E.A.V., 2019. An Exact Optimization Approach for an Integrated Process Configuration, Lot-Sizing and Scheduling Problem. Computers & Operations Research 103. 310-323. [Lien]
  • Deudon, M., Cournut, P., Lacoste, A., Adulyasak, Y., Rousseau, L.-M., 2018. Learning Heuristics for the TSP by Policy GradientIn: van Hoeve WJ. (eds) Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2018). Notes de conférence dans Computer Science, vol 10848. [Lien]. Voici l’excellent [Github] par M. Deudon.
  • Ahmed, A., Varakantham, P., Lowalekar, M. , Adulyasak Y., Jaillet, P., 2017. Sampling based Approaches for Minimizing Regret in Uncertain Markov Decision Problems (MDPs)Journal of Artificial Intelligence Research 59. 229-264. [pdf]
  • Ghosh, S., Varakantham, P., Adulyasak, Y., Jaillet, P., 2017. Dynamic Redeployment to Reduce Lost Demand in Bike Sharing SystemsJournal of Artificial Intelligence Research 58, 387-430. [pdf]
  • Adulyasak, Y., Jaillet, P., 2016. Models and Algorithms for Stochastic and Robust Vehicle Routing with DeadlinesTransportation Science 50 (2). 608-626. [Lien] [Supplément]
  • Adulyasak, Y., Cordeau, J.-F., Jans, R., 2015. Benders Decomposition for Production Routing under Demand UncertaintyOperations Research 63 (4). 851-867. [Lien] [Supplément]
  • Ghosh, S., Varakantham, P., Adulyasak, Y., Jaillet, P., 2015. Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems25th International Conference on Automated Planning and Scheduling (ICAPS-15). [pdf]
  • Adulyasak, Y., Varakantham, P., Jaillet, P., 2015. Solving Uncertain MDPs with Objectives that are Separable over Instantiations of Model Uncertainty29th Conference on Artificial Intelligence (AAAI-15). [pdf]
  • Adulyasak, Y., Cordeau, J.-F., Jans, R., 2014. The Production Routing Problem: A Review of Formulations and Solution Algorithms. Computers & Operations Research 55. 141-152. [Lien]
  • Adulyasak, Y., Cordeau, J.-F., Jans, R., 2014. Formulations and Branch-and-Cut Algorithms for Multivehicle Production and Inventory Routing ProblemsINFORMS Journal on Computing 26 (1). 103-120. [Lien] [Supplément] [Instances et résultats]
  • Varakantham, P., Adulyasak, Y., Jaillet, P., 2014. Decentralized Stochastic Planning with Anonymity in Interactions28th Conference on Artificial Intelligence (AAAI-14). [pdf]
  • Adulyasak, Y., Cordeau, J.-F., Jans, R., 2014. Optimization-Based Adaptive Large Neighborhood Search for the Production Routing ProblemTransportation Science 48 (1). 20-45. [Lien[Instances et résultats]
  • Ahmed, A., Varakantham, P., Adulyasak, Y., Jaillet, P., 2013. Regret based Robust Solutions for Uncertain Markov Decision ProcessesAdvances in Neural Information Processing Systems (NIPS-13) 26. [pdf]
  • Desrosiers, J., Jans, R. Adulyasak, Y., 2013. Improved Column Generation Algorithms for Clustering Problems. GERAD Tech Rep. G-2013-26. [pdf]
  • Adulyasak, Y., 2012. Models and Solution Algorithms for Production Routing Problems3- HEC Montréal [pdf]