OPTIMIZING HYBRID TRUCK-DRONE DELIVERY SYSTEMS USING REINFORCEMENT LEARNING: A CUSTOMER-CENTRIC AND TRAFFIC-AWARE APPROACH
Saved in:
| Main Author: | unknown (author) |
|---|---|
| Format: | masterThesis |
| Published: |
2020
|
| Subjects: | |
| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/143462/1/202303370_Abdullahi_Sani_Shuaibu_Thesis_Draft.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hybrid Truck-Drone Delivery Systems: A Systematic Literature Review
by: Madani, Batool
Published: (2022) -
Sustainable Hajj Safety: A Drone-Truck Strategic Approach for Patrolling, Thermal Comfort, and Emergency Response
by: unknown
Published: (2020) -
A DECISION MAKING ALGORITHM TO OPTIMIZE THE MULTI-ORDER LINES IN PICKUP AND DROP DELIVERY PROBLEMS
by: unknown
Published: (2020) -
Drones Tracking Adaptation Using Reinforcement Learning: Proximal Policy optimization
by: Alhadhrami, Esra Ebrahim
Published: (2023) -
An adapted TPB approach to consumers’ acceptance of service-delivery drones
by: Ramadan, Zahy B.
Published: (2016)