Arash Mozhdehi
Orcid: 0000-0002-9938-3560
According to our database1,
Arash Mozhdehi
authored at least 8 papers
between 2022 and 2025.
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Bibliography
2025
SED2AM: Solving Multi-Trip Time-Dependent Vehicle Routing Problem using Deep Reinforcement Learning.
CoRR, March, 2025
SED2AM: Solving Multi-Trip Time-Dependent Vehicle Routing Problem Using Deep Reinforcement Learning.
ACM Trans. Knowl. Discov. Data, 2025
SPADE: Solving the Multi-Depot Vehicle Routing Problem with Inter-Depot Routes Using Multi-Agent Deep Reinforcement Learning.
Proceedings of the 38th Canadian Conference on Artificial Intelligence, 2025
2024
EFECTIW-ROTER: Deep Reinforcement Learning Approach for Solving Heterogeneous Fleet and Demand Vehicle Routing Problem With Time-Window Constraints.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024
Edge-DIRECT: A Deep Reinforcement Learning-based Method for Solving Heterogeneous Electric Vehicle Routing Problem with Time Window Constraints.
Proceedings of the 37th Canadian Conference on Artificial Intelligence, 2024
2023
Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing with the Data Imbalance in Graph Neural Networks.
Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023
2022
Multi-task graph neural network for truck speed prediction under extreme weather conditions.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022
Solving a multi-trip VRP with real heterogeneous fleet and time windows based on ant colony optimization: an industrial case study.
Proceedings of the 15th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2022