Projektdetaljer
Beskrivelse
Area:
Container liner shipping
Research question:
Which optimization frameworks are maintainable and scale to complex hierarchical optimization problems like the multi-port yield optimization problem in container liner shipping?
Container liner shipping
Research question:
Which optimization frameworks are maintainable and scale to complex hierarchical optimization problems like the multi-port yield optimization problem in container liner shipping?
| Akronym | SPO |
|---|---|
| Status | Igangværende |
| Effektiv start/slut dato | 01/04/2022 → 31/03/2025 |
Samarbejdspartnere
- IT-Universitetet i København (leder)
- Roskilde Universitet
- Danmarks Tekniske Universitet
- Unifeeder A/S
- A.P. Møller - Mærsk A/S
- Sealytix
Finansiering
- Den Danske Maritime Fond: 1.189.004,00 kr.
Emneord
- Using reinforcement learning for master planning of container vessels
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