Risk-averse multi-stage stochastic optimization for surveillance and operations planning of a forest insect infestation S Bushaj, İE Büyüktahtakın, RG Haight European Journal of Operational Research 299 (3), 1094-1110, 2022 | 26 | 2022 |
A simulation-deep reinforcement learning (SiRL) approach for epidemic control optimization S Bushaj, X Yin, A Beqiri, D Andrews, IE Büyüktahtakın Annals of Operations Research 328 (1), 245-277, 2023 | 23 | 2023 |
Optimizing surveillance and management of emerald ash borer in urban environments S Bushaj, İE Büyüktahtakın, D Yemshanov, RG Haight Natural Resource Modeling 34 (1), e12267, 2021 | 22 | 2021 |
COVID-19: Agent-based simulation-optimization to vaccine center location vaccine allocation problem X Yin, S Bushaj, Y Yuan, İE Büyüktahtakın IISE Transactions 56 (7), 699-714, 2024 | 5 | 2024 |
A K-means supported reinforcement learning framework to multi-dimensional knapsack S Bushaj, İE Büyüktahtakın Journal of Global Optimization, 1-31, 2024 | 2 | 2024 |
Predicting the COVID19 Trajectory with a Simulation Deep Reinforcement Learning Approach S Bushaj, IE Büyüktahtakm, A Beqiri IIE Annual Conference. Proceedings, 1-6, 2022 | | 2022 |
Multi-Stage Stochastic Optimization and Reinforcement Learning for Forestry Epidemic and COVID-19 Control Planning S Bushaj New Jersey Institute of Technology, 2021 | | 2021 |