Using Reinforcement Learning in a Dynamic Team Orienteering Problem with Electric Batteries
This paper addresses the team orienteering problem (TOP) with vehicles equipped with electric batteries under dynamic travel conditions influenced by weather and traffic, which impact travel times between nodes and hence might have a critical effect on the battery capacity to cover the planned route...
Saved in:
| Main Authors: | Majsa Ammouriova, Antoni Guerrero, Veronika Tsertsvadze, Christin Schumacher, Angel A. Juan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Batteries |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2313-0105/10/12/411 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Using Transformers and Reinforcement Learning for the Team Orienteering Problem Under Dynamic Conditions
by: Antoni Guerrero, et al.
Published: (2025-07-01) -
Combining the A* Algorithm with Neural Networks to Solve the Team Orienteering Problem with Obstacles and Environmental Factors
by: Alfons Freixes, et al.
Published: (2025-05-01) -
Hybrid intelligent optimization strategy of battery swapping station for electric vehicles based on reinforcement learning
by: Hongwei Yi, et al.
Published: (2025-02-01) -
Diminishing returns of task-oriented interaction in digitally-mediated dynamic teams: evidence from amateur sports organizing
by: Jing Yang, et al.
Published: (2025-08-01) -
Forming an innovation-oriented project team in a fast-growing company
by: I. V. Semenova, et al.
Published: (2025-06-01)