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Learning Generalizable Models for Vehicle Routing Problems via Knowledge
  Distillation

Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation

14 October 2022
Jieyi Bi
Yining Ma
Jiahai Wang
Zhiguang Cao
Jinbiao Chen
Yuan Sun
Yeow Meng Chee
ArXivPDFHTML

Papers citing "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation"

11 / 11 papers shown
Title
UniCO: Towards a Unified Model for Combinatorial Optimization Problems
UniCO: Towards a Unified Model for Combinatorial Optimization Problems
Zefang Zong
Xiaochen Wei
Guozhen Zhang
Chen Gao
Huandong Wang
Yong Li
26
0
0
07 May 2025
TuneNSearch: a hybrid transfer learning and local search approach for solving vehicle routing problems
TuneNSearch: a hybrid transfer learning and local search approach for solving vehicle routing problems
Arthur Corrêa
Cristóvão Silva
Liming Xu
Alexandra Brintrup
Samuel Moniz
53
0
0
16 Mar 2025
RouteFinder: Towards Foundation Models for Vehicle Routing Problems
RouteFinder: Towards Foundation Models for Vehicle Routing Problems
Federico Berto
Chuanbo Hua
Nayeli Gast Zepeda
André Hottung
N. Wouda
Leon Lan
Kevin Tierney
J. Park
Jinkyoo Park
48
10
0
21 Jun 2024
GOAL: A Generalist Combinatorial Optimization Agent Learner
GOAL: A Generalist Combinatorial Optimization Agent Learner
Darko Drakulic
Sofia Michel
J. Andreoli
31
6
0
21 Jun 2024
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives
Xuan Wu
Di Wang
Lijie Wen
Yubin Xiao
Chunguo Wu
Yuesong Wu
Chaoyu Yu
D. Maskell
You Zhou
60
4
0
01 Jun 2024
GLOP: Learning Global Partition and Local Construction for Solving
  Large-scale Routing Problems in Real-time
GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
Haoran Ye
Jiarui Wang
Helan Liang
Zhiguang Cao
Yong Li
Fanzhang Li
29
31
0
13 Dec 2023
LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning
LLQL: Logistic Likelihood Q-Learning for Reinforcement Learning
Outongyi Lv
Bingxin Zhou
OffRL
34
0
0
05 Jul 2023
Equity-Transformer: Solving NP-hard Min-Max Routing Problems as
  Sequential Generation with Equity Context
Equity-Transformer: Solving NP-hard Min-Max Routing Problems as Sequential Generation with Equity Context
Jiwoo Son
Minsu Kim
Sanghyeok Choi
Hyeon-Seob Kim
Jinkyoo Park
19
9
0
05 Jun 2023
ASP: Learn a Universal Neural Solver!
ASP: Learn a Universal Neural Solver!
Chenguang Wang
Zhouliang Yu
Stephen Marcus McAleer
Tianshu Yu
Yao-Chun Yang
AAML
30
23
0
01 Mar 2023
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated
  Vehicle Routing Problem
Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem
Jingwen Li
Yining Ma
Ruize Gao
Zhiguang Cao
Andrew Lim
Wen Song
Jie M. Zhang
118
115
0
06 Oct 2021
Learning to Iteratively Solve Routing Problems with Dual-Aspect
  Collaborative Transformer
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer
Yining Ma
Jingwen Li
Zhiguang Cao
Wen Song
Le Zhang
Zhenghua Chen
Jing Tang
75
129
0
06 Oct 2021
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