Online stochastic assignment problem with feature-based demand learning
This paper focuses on demand learning through the utilisation of unknown features to optimise resource allocations. The performance of Greedy, Simulate-Optimize- Assign-Repeat (SOAR) and Random algorithms are compared with synthetic and real-world private-hire car data. Through the control testing w...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175539 |
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| Institution: | Nanyang Technological University |
| Language: | English |