VeRyPy
NLNS
| VeRyPy | NLNS | |
|---|---|---|
| 1 | 1 | |
| 253 | 68 | |
| - | - | |
| 5.0 | 1.8 | |
| 5 months ago | over 3 years ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 only |
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VeRyPy
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Need tips on tools for solving VRPs (Vehicle Routing Problems) in the python environment
https://github.com/yorak/VeRyPy - another open source project, seems to be focused on ease of use. Might be worth glancing at the code.
NLNS
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[D] What type of machine learning can be used to solve timetable optimisation problems?
I do not believe anyone has tried ML methods for solving timetable problems yet, so this would be new. My group has come up with several different options for ML+Optimization, but probably our approach "Neural Large Neighborhood Search" will be the most promising here. See our ECAI paper: https://ecai2020.eu/papers/786_paper.pdf, medium post explaining the method: https://dot-bielefeld.medium.com/learning-improvement-heuristics-for-vehicle-routing-problems-with-neural-large-neighborhood-search-6e19252e85f4 and source code: https://github.com/ahottung/NLNS.
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