Mahdi Mohammadizadeh

According to our database, Mahdi Mohammadizadeh authored at least 4 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

SPADE: Solving the Multi-Depot Vehicle Routing Problem with Inter-Depot Routes Using Multi-Agent Deep Reinforcement Learning.

Arash Mozhdehi, Mahdi Mohammadizadeh, Saeid Kalantari, Beom Sae (Shawn) Kim, Xin Wang

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.

Arash Mozhdehi, Mahdi Mohammadizadeh, Yunli Wang, Sun Sun, Xin Wang

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.

Arash Mozhdehi, Mahdi Mohammadizadeh, Xin Wang

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.

Mahdi Mohammadizadeh, Arash Mozhdehi, Yani Ioannou, Xin Wang

Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023