Toward the Optimization of General Logistics Scenarios With Multi-Agent Simulations: Results of the AbstractSwarm Multi-Agent Logistics Competition With Application in Hospital Logistics
- DOI
- 10.1109/access.2026.3692101
- Published
- 2026
- Container
- IEEE Access
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/access.2026.3692101,
title = {Toward the Optimization of General Logistics Scenarios With Multi-Agent Simulations: Results of the AbstractSwarm Multi-Agent Logistics Competition With Application in Hospital Logistics},
author = {Daan Apeldoorn and Alina Jenn and Alexander Dockhorn and Jochen Wollstädter and Fabian Linkerhägner and Torsten Panholzer},
year = {2026},
journal = {IEEE Access},
doi = {10.1109/access.2026.3692101},
url = {https://doi.org/10.1109/access.2026.3692101}
}RIS
TY - JOUR TI - Toward the Optimization of General Logistics Scenarios With Multi-Agent Simulations: Results of the AbstractSwarm Multi-Agent Logistics Competition With Application in Hospital Logistics AU - Daan Apeldoorn AU - Alina Jenn AU - Alexander Dockhorn AU - Jochen Wollstädter AU - Fabian Linkerhägner AU - Torsten Panholzer PY - 2026 JO - IEEE Access DO - 10.1109/access.2026.3692101 UR - https://doi.org/10.1109/access.2026.3692101 ER -
APA
Apeldoorn, D., Jenn, A., Dockhorn, A., Wollstädter, J., Linkerhägner, F., & Panholzer, T. (2026). Toward the Optimization of General Logistics Scenarios With Multi-Agent Simulations: Results of the AbstractSwarm Multi-Agent Logistics Competition With Application in Hospital Logistics. IEEE Access. https://doi.org/10.1109/access.2026.3692101
Source records
- crossref · retrieved 2026-09-27T02:01:14.889Z