This repository contains the code and the data of the paper: Data Driven VRP: A Neural Network Model to learn hidden preferences for VRP. 27th International Conference on Principles and Practice of Constraint Programming (CP 2021).
Bibtex formatted citation
@InProceedings{mandi_et_al:LIPIcs.CP.2021.42,
author = {Mandi, Jayanta and Canoy, Rocsildes and Bucarey, V{\'\i}ctor and Guns, Tias},
title = {{Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP}},
booktitle = {27th International Conference on Principles and Practice of Constraint Programming (CP 2021)},
pages = {42:1--42:17},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-211-2},
ISSN = {1868-8969},
year = {2021},
volume = {210},
editor = {Michel, Laurent D.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2021/15333},
URN = {urn:nbn:de:0030-drops-153339},
doi = {10.4230/LIPIcs.CP.2021.42},
annote = {Keywords: Vehicle routing, Neural network, Preference learning}
}
To run the experiment first unzip data.zip by running
unzip data.zip
Then install the required packages
pip install -r requirements.txt
Then to reproduce the experimental results,
Run the Markov models by running the command
python MarkovExp.py
Run the Neural network models by running the command
python NeuralNetExp.py
Run the decision focused model by running the command
python DecisionFocusedExp.py