Improving scheduling in multi-AGV systems by task prediction
Hongkai Fan, Dong Li, Bo Ouyang, Zhi Yan, Yaonan Wang
| Year of publication: |
2024
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|---|---|
| Authors: | Fan, Hongkai ; Li, Dong ; Ouyang, Bo ; Yan, Zhi ; Wang, Yaonan |
| Published in: |
Journal of scheduling : JOS. - Dordrecht [u.a.] : Springer Science + Business Media, ISSN 1099-1425, ZDB-ID 2012329-2. - Vol. 27.2024, 3, p. 299-308
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| Subject: | Artificial Intelligence | Automated guided vehicles | Deep learning | Efficiency improvement | LSTM | Künstliche Intelligenz | Artificial intelligence | Scheduling-Verfahren | Scheduling problem | Automatisierung | Automation | Algorithmus | Algorithm |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s10951-023-00792-8 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015049239