AbstractSwarm Multi-Agent Logistics Competition: Multi-Agent Collaboration for Improving A Priori Unknown Logistics Scenarios

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

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  • Johannes Gutenberg-Universität Mainz
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Details

OriginalspracheEnglisch
Titel des SammelwerksGECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion
Seiten1-2
Seitenumfang2
ISBN (elektronisch)9798400704956
PublikationsstatusVeröffentlicht - 1 Aug. 2024
Veranstaltung2024 Genetic and Evolutionary Computation Conference Companion, GECCO 2024 Companion - Melbourne, Australien
Dauer: 14 Juli 202418 Juli 2024

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.

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AbstractSwarm Multi-Agent Logistics Competition: Multi-Agent Collaboration for Improving A Priori Unknown Logistics Scenarios. / Apeldoorn, Daan; Dockhorn, Alexander; Panholzer, Torsten.
GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion. 2024. S. 1-2.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Apeldoorn, D, Dockhorn, A & Panholzer, T 2024, AbstractSwarm Multi-Agent Logistics Competition: Multi-Agent Collaboration for Improving A Priori Unknown Logistics Scenarios. in GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion. S. 1-2, 2024 Genetic and Evolutionary Computation Conference Companion, GECCO 2024 Companion, Melbourne, Australien, 14 Juli 2024. https://doi.org/10.1145/3638530.3664053
Apeldoorn, D., Dockhorn, A., & Panholzer, T. (2024). AbstractSwarm Multi-Agent Logistics Competition: Multi-Agent Collaboration for Improving A Priori Unknown Logistics Scenarios. In GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion (S. 1-2) https://doi.org/10.1145/3638530.3664053
Apeldoorn D, Dockhorn A, Panholzer T. AbstractSwarm Multi-Agent Logistics Competition: Multi-Agent Collaboration for Improving A Priori Unknown Logistics Scenarios. in GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion. 2024. S. 1-2 doi: 10.1145/3638530.3664053
Apeldoorn, Daan ; Dockhorn, Alexander ; Panholzer, Torsten. / AbstractSwarm Multi-Agent Logistics Competition : Multi-Agent Collaboration for Improving A Priori Unknown Logistics Scenarios. GECCO 2024 Companion - Proceedings of the 2024 Genetic and Evolutionary Computation Conference Companion. 2024. S. 1-2
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