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 | Finished |
| Effective start/end date | 01.10.2019 → 30.09.2024 |
| Links | https://www.adaptop.at |
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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Applying Learning and Self-Adaptation to Dynamic Scheduling
Werth, B., Karder, J., Heckmann, M., Wagner, S. & Affenzeller, M., Jan 2024, In: Applied Sciences (Switzerland). 14, 1, 49.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Efficient Global Optimization for Dynamic Problems
Werth, B., Karder, J. A., Wagner, S. & Affenzeller, M., Sept 2024.Research output: Contribution to conference › Paper › peer-review
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A Novel Benchmark Environment for Dynamic Factory Crane Scheduling
Karder, J., Werth, B., Beham, A., Wagner, S. & Affenzeller, M., 13 Jan 2023, In: Procedia Computer Science. 217, p. 1217-1224 8 p.Research output: Contribution to journal › Conference article › peer-review
Open Access2 Citations (Scopus)