A comparative study of machine learning approaches for large-scale vehicle routing
With the surge in demand for delivery services, accelerated by the COVID-19 pandemic, and the proliferation of data, Vehicle Routing Problems (VRP) have grown in size and complexity. Despite proven effective solvers for smaller-scale problems, addressing large-scale VRPs remains a challenge. T...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175066 |