Working Papers
Journal Papers
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Deep reinforcement learning for solving the stochastic e-waste collection problem
Nguyen, D. V. A., Gunawan, A., Misir, M., Hui, L. K., & Vansteenwegen, P.
European Journal of Operational Research, 2025.
Conference Papers
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Large-scale demand prediction in urban rail using multi-graph inductive representation learning
Nguyen, D. V. A., Flensburg, J. V., Cerreto, F., Pascariu, B., Pellegrini, P., Azevedo, C. L., & Rodrigues, F.
104th Annual Meeting of the Transportation Research Board, 2025
Lectern Session: Emerging Behaviors of Urban Rail Transit Passengers - A Global Scan
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GRASP reinforced by Evolutionary Path-relinking for two-echelon covering tour vehicle routing problem
Nguyen, D. V. A., R. Piplani, A. Gunawan
33rd European Conference on Operational Research, 2024
Oral Presentation
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Q-Learning Based Framework for Solving the Stochastic E-waste Collection Problem
Nguyen, D. V. A., A. Gunawan, M. Misir, P. Vansteenwegen
24th European Conference on Evolutionary Computation in Combinatorial Optimisation, 2024
Lecture Notes in Computer Science (LNCS)
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ExploreLah: Personalised and Smart Trip Planner for Mobile Tourism
Gunawan, A., Hoe, S. L., Lim, X. Y., Tran, L. C., & Nguyen, D. V. A.
2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 0923–0927, 2023
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GRASP solution approach for the e-waste collection problem
Gunawan, A., Nguyen, D. V. A., Nguyen, P. K. M., & Vansteenwegen, P.
International Conference on Computational Logistics, 2023
Lecture Notes in Computer Science (LNCS)
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The heterogeneous vehicle routing problem with multiple time windows for the e-waste collection problem
Gunawan, A., Nguyen, M. P. K., Vincent, F. Y., & Nguyen, D. V. A.
2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), pp. 1–6, 2023
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GRASP based metaheuristic to solve the mixed fleet e-waste collection route planning problem
Gunawan, A., Nguyen, D. V. A., Nguyen, P. K. M., & Vansteenwegen, P.
17th International Congress on Logistics and SCM Systems, 2023
Oral Presentation
Thesis