Note: articles submitted for double blinded reviews are not included.

  • Cheng, C., Adulyasak, Y., Rousseau, L.-M., 2019. Robust Facility Location under Disruptions. [pdf]
  • Nguyen, D.-T., Adulyasak, Y., Landry, S., 2018. Bullwhip Effect in Rule-Based Supply Chain Planning Systems: A Case-Based Simulation at a Hard Goods Retailer (In revision, Manuscript Available upon Request).
  • Cheng, C., Adulyasak, Y., Rousseau, L.-M., 2018. Formulations and Exact Algorithms for Drone Routing Problem. [pdf]
  • Kumar, R. R., Varakantham, P., Adulyasak, Y., Jaillet, P., 2017. Exploiting Interaction Anonymity and Agent Homogeneity in Decentralized Cooperative Planning under Uncertainty(Manuscript Available upon Request)
  • 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.103. 310-323. [Link]
  • 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). Lecture Notes in Computer Science, vol 10848[Link]. Here is the excellent [Github] by 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. [Link] [Supplement]
  • Adulyasak, Y., Cordeau, J.-F., Jans, R., 2015. Benders Decomposition for Production Routing under Demand UncertaintyOperations Research 63 (4). 851-867. [Link] [Supplement]
  • 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. [Link]
  • 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. [Link] [Supplement] [instances and results]
  • 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. [Link[instances and results]
  • 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 ProblemsHEC Montréal. [pdf]