UAI 2023poster12 citations
Multi-view graph contrastive learning for solving vehicle routing problems
Yuan Jiang, Zhiguang Cao, Yaoxin Wu, Jie Zhang
Abstract
Recently, neural heuristics based on deep learning have reported encouraging results for solving vehicle routing problems (VRPs), especially on independent and identically distributed (i.i.d.) instances, e.g.
BibTeX
@InProceedings{pmlr-v216-jiang23a,
title = {Multi-view graph contrastive learning for solving vehicle routing problems},
author = {Jiang, Yuan and Cao, Zhiguang and Wu, Yaoxin and Zhang, Jie},
booktitle = {Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence},
pages = {984--994},
year = {2023},
editor = {Evans, Robin J. and Shpitser, Ilya},
volume = {216},
series = {Proceedings of Machine Learning Research},
month = {31 Jul--04 Aug},
publisher = {PMLR},
pdf = {https://proceedings.mlr.press/v216/jiang23a/jiang23a.pdf},
url = {https://proceedings.mlr.press/v216/jiang23a.html},
abstract = {Recently, neural heuristics based on deep learning have reported encouraging results for solving vehicle routing problems (VRPs), especially on independent and identically distributed (i.i.d.) instances, e.g.