Yossiri Adulyasak
Yossiri Adulyasak
Canada Research Chair in Supply Chain Analytics and HEC Montréal
Verified email at hec.ca - Homepage
Cited by
Cited by
Formulations and branch-and-cut algorithms for multivehicle production and inventory routing problems
Y Adulyasak, JF Cordeau, R Jans
INFORMS Journal on Computing 26 (1), 103-120, 2014
The Production Routing Problem: A Review of Formulations and Solution Algorithms
Y Adulyasak, JF Cordeau, R Jans
Computers & Operations Research, 1-12, 2014
Optimization-Based Adaptive Large Neighborhood Search for the Production Routing Problem
Y Adulyasak, JF Cordeau, R Jans
Transportation Science 48 (1), 20-45, 2014
Benders decomposition for production routing under demand uncertainty
Y Adulyasak, JF Cordeau, R Jans
Operations Research 63 (4), 851 - 867, 2015
Dynamic Repositioning to Reduce Lost Demand in Bike Sharing Systems
S Ghosh, P Varakantham, Y Adulyasak, P Jaillet
Journal of Artificial Intelligence Research 58, 387-430, 2017
Learning heuristics for the TSP by policy gradient
M Deudon, P Cournut, A Lacoste, Y Adulyasak, LM Rousseau
International Conference on the Integration of Constraint Programming …, 2018
Models and Algorithms for Stochastic and Robust Vehicle Routing with Deadlines
Y Adulyasak, P Jaillet
Transportation Science, 2016
Decentralized Stochastic Planning with Anonymity in Interactions
PR Varakantham, Y Adulyasak, P Jaillet
AAAI-14: Twenty-Eighth Conference on Artificial Intelligence, 2014
Drone routing with energy function: Formulation and exact algorithm
C Cheng, Y Adulyasak, LM Rousseau
Transportation Research Part B: Methodological 139, 364-387, 2020
Dynamic redeployment to counter congestion or starvation in vehicle sharing systems
S Ghosh, P Varakantham, Y Adulyasak, P Jaillet
ICAPS-15: Proceedings of the International Conference on Automated Planning …, 2015
Regret based Robust Solutions for Uncertain Markov Decision Processes
A Ahmed, P Varakantham, Y Adulyasak, P Jaillet
Neural Information Processing Systems (NeurIPS), 2013
Sampling based approaches for minimizing regret in uncertain Markov decision processes (MDPs)
A Ahmed, P Varakantham, M Lowalekar, Y Adulyasak, P Jaillet
Journal of Artificial Intelligence Research 59, 229-264, 2017
An exact optimization approach for an integrated process configuration, lot-sizing, and scheduling problem
KP Martinez, Y Adulyasak, R Jans, R Morabito, EAV Toso
Computers & Operations Research 103, 310-323, 2019
Continuous move optimization for truckload pickup and delivery problem
M Lohatepanon, Y Adulyasak
Science & Technology Asia, 46-55, 2006
Material Requirements Planning Under Demand Uncertainty Using Stochastic Optimization
S Thevenin, Y Adulyasak, JF Cordeau
Production and Operations Management, 475-493, 2021
Data association via set packing for computer vision applications
J Yarkony, Y Adulyasak, M Singh, G Desaulniers
INFORMS Journal on Optimization, 2020
Solving uncertain MDPs with objectives that are separable over instantiations of model uncertainty
Y Adulyasak, P Varakantham, A Ahmed, P Jaillet
AAAI-15: Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
Robust Drone Delivery with Weather Information
C Cheng, Y Adulyasak, LM Rousseau, M Sim
Technical Report, 2020
The Bullwhip Effect in rule-based supply chain planning systems–A case-based simulation at a hard goods retailer
DT Nguyen, Y Adulyasak, S Landry
Omega, 102121, 2021
Distribution-independent inventory approach under multiple service level targets
Y Adulyasak, T Moisan, E Prescott-Gagnon
US Patent 10,977,609, 2021
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