Research output per year
Research output per year
Project Details
Description
Within the Josef Ressel Center adaptOp, adaptive optimisation algorithms are developed, which can foresee dynamic changes in production processes by machine learning and are able to adjust proactively. These new optimisation methods are evaluated and applied in the areas production planning, storage and transport.
| Short title | JRZ adaptOp |
|---|---|
| Status | Active |
| Effective start/end date | 01.10.2019 → 30.09.2024 |
Funding agency
- Josef-Ressel-Center
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Dynamic Warehouse Environments for Crane Stacking and Scheduling
Beham, A., Raggl, S., Karder, J., Werth, B. & Wagner, S., 2022, In: Procedia Computer Science. 200, p. 1461-1470 10 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Dynamic landscape analysis for open-ended stacking
Werth, B., Karder, J., Beham, A. & Wagner, S., 7 Jul 2021, GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, p. 1700-1707 8 p. (GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion).Research output: Chapter in Book/Report/Conference proceedings › Conference contribution › peer-review
Open Access1 Citation (Scopus) -
Dynamic online optimization in the context of smart manufacturing: An overview
Hauder, V. A., Beham, A., Wagner, S., Doerner, K. F. & Affenzeller, M., 2021, In: Procedia Computer Science. 180, p. 988-995 8 p.Research output: Contribution to journal › Conference article › peer-review
Open Access3 Citations (Scopus)