AbstractSwarm Multi-Agent Logistics Competition
Multi-Agent Collaboration for Improving A Priori Unknown Logistics Scenarios
- verfasst von
- Daan Apeldoorn, Alexander Dockhorn, Torsten Panholzer
- Abstract
This competition abstract provides a brief introduction to the AbstractSwarm Multi-Agent Logistics Competition, which runs in 2024 in the fourth year in series at the Genetic and Evolutionary Computation Conference (GECCO) and has been part of the IEEE World Congress on Computational Intelligence from 2021 to 2022. In this work, we also briefly introduce the AbstractSwarm multi-agent modeling and simulation system to provide a common starting point for researchers interested in the competition's rules and its challenges.
- Organisationseinheit(en)
-
Institut für Informationsverarbeitung
- Externe Organisation(en)
-
Johannes Gutenberg-Universität Mainz
- Typ
- Aufsatz in Konferenzband
- Seiten
- 1-2
- Anzahl der Seiten
- 2
- Publikationsdatum
- 01.08.2024
- Publikationsstatus
- Veröffentlicht
- Peer-reviewed
- Ja
- ASJC Scopus Sachgebiete
- Artificial intelligence, Software, Steuerung und Optimierung, Diskrete Mathematik und Kombinatorik, Logik
- Elektronische Version(en)
-
https://doi.org/10.1145/3638530.3664053 (Zugang:
Geschlossen)