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Learn to Design the Heuristics for Vehicle Routing Problem

Learn to Design the Heuristics for Vehicle Routing Problem

Lei Gao
Mingxiang Chen
Qichang Chen
Ganzhong Luo
Nuoyi Zhu
Zhixin Liu
ArXiv (abs)PDFHTML

Papers citing "Learn to Design the Heuristics for Vehicle Routing Problem"

23 / 23 papers shown
Learning to Search for Vehicle Routing with Multiple Time Windows
Learning to Search for Vehicle Routing with Multiple Time Windows
Kuan Xu
Zhiguang Cao
Chenlong Zheng
Linong Liu
212
0
0
29 May 2025
A Coalition Game for On-demand Multi-modal 3D Automated Delivery System
A Coalition Game for On-demand Multi-modal 3D Automated Delivery System
Farzan Moosavi
Bilal Farooq
342
1
0
23 Dec 2024
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling
Learning Large Neighborhood Search for Vehicle Routing in Airport Ground HandlingIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Jianan Zhou
Yaoxin Wu
Zhiguang Cao
Wen Song
Jie Zhang
Zhenghua Chen
AI4TS
296
43
0
27 Feb 2023
A machine learning framework for neighbor generation in metaheuristic search
A machine learning framework for neighbor generation in metaheuristic search
De-You Liu
Vincent Perreault
A. Hertz
Andrea Lodi
218
8
0
22 Dec 2022
Combining Constructive and Perturbative Deep Learning Algorithms for the Capacitated Vehicle Routing Problem
Combining Constructive and Perturbative Deep Learning Algorithms for the Capacitated Vehicle Routing Problem
Roberto García-Torres
Alitzel Adriana Macias-Infante
S. E. Conant-Pablos
J. C. Ortíz-Bayliss
Hugo Terashima-Marín
186
2
0
25 Nov 2022
Online Control of Adaptive Large Neighborhood Search using Deep Reinforcement Learning
Online Control of Adaptive Large Neighborhood Search using Deep Reinforcement LearningInternational Conference on Automated Planning and Scheduling (ICAPS), 2022
Robbert Reijnen
Yingqian Zhang
H. Lau
Zaharah Bukhsh
270
8
0
01 Nov 2022
How Good Is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem
How Good Is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman ProblemIEEE Computational Intelligence Magazine (IEEE CIM), 2022
Shengcai Liu
Yu Zhang
Shengcai Liu
Xin Yao
288
74
0
22 Sep 2022
Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning
Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning
Rongkai Zhang
Cong Zhang
Zhiguang Cao
Wen Song
Puay Siew Tan
Jie Zhang
Bihan Wen
Justin Dauwels
190
44
0
13 Sep 2022
Route Planning for Last-Mile Deliveries Using Mobile Parcel Lockers: A Hybrid Q-Learning Network Approach
Route Planning for Last-Mile Deliveries Using Mobile Parcel Lockers: A Hybrid Q-Learning Network Approach
Yubin Liu
Qiming Ye
J. Escribano-Macias
Yuxiang Feng
Eduardo Candela
Panagiotis Angeloudis
265
34
0
09 Sep 2022
Learning to Solve Vehicle Routing Problems: A Survey
Learning to Solve Vehicle Routing Problems: A Survey
Aigerim Bogyrbayeva
Meraryslan Meraliyev
Taukekhan Mustakhov
Bissenbay Dauletbayev
214
31
0
05 May 2022
Multi-objective Pointer Network for Combinatorial Optimization
Multi-objective Pointer Network for Combinatorial Optimization
Leon Gao
Rui Wang
Chuang Liu
Zhao-hong Jia
113
7
0
25 Apr 2022
The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems
The First AI4TSP Competition: Learning to Solve Stochastic Routing ProblemsArtificial Intelligence (AIJ), 2022
Laurens Bliek
P. Costa
Reza Refaei Afshar
Yingqian Zhang
Tom Catshoek
...
Ricardo Gama
Hugo L. Fernandes
Martin Zaefferer
Manuel López-Ibánez
Ekhine Irurozki
237
8
0
25 Jan 2022
Learning Large Neighborhood Search Policy for Integer Programming
Learning Large Neighborhood Search Policy for Integer ProgrammingNeural Information Processing Systems (NeurIPS), 2021
Yaoxin Wu
Wen Song
Zhiguang Cao
Jie Zhang
233
59
0
01 Nov 2021
Learning Enhanced Optimisation for Routing Problems
Learning Enhanced Optimisation for Routing Problems
N. Sultana
Jeffrey Chan
Tabinda Sarwar
B. Abbasi
•. A. K. Qin
196
3
0
17 Sep 2021
An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem
An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing ProblemIEEE/CAA Journal of Automatica Sinica (IEEE/CAA J. Autom. Sinica), 2021
Bingjie Li
Guohua Wu
Yongming He
Mingfeng Fan
Witold Pedrycz
313
88
0
15 Jul 2021
A review of approaches to modeling applied vehicle routing problems
A review of approaches to modeling applied vehicle routing problems
Konstantin Sidorov
Alexander Morozov
104
1
0
23 May 2021
Solve routing problems with a residual edge-graph attention neural network
Solve routing problems with a residual edge-graph attention neural network
Kun Lei
Peng Guo
Yi Wang
Xiao Wu
Wenchao Zhao
240
87
0
06 May 2021
Deep Policy Dynamic Programming for Vehicle Routing Problems
Deep Policy Dynamic Programming for Vehicle Routing ProblemsIntegration of AI and OR Techniques in Constraint Programming (CPAIOR), 2021
W. Kool
H. V. Hoof
J. Gromicho
Max Welling
377
153
0
23 Feb 2021
Analytics and Machine Learning in Vehicle Routing Research
Analytics and Machine Learning in Vehicle Routing ResearchInternational Journal of Production Research (IJPR), 2021
Ruibin Bai
Xinan Chen
Zhi-Long Chen
Tianxiang Cui
Shuhui Gong
...
Zhengyong Lu
Jianfeng Ren
Paul Weng
Ning Xue
Huayan Zhang
343
109
0
19 Feb 2021
Learning to Solve Vehicle Routing Problems with Time Windows through Joint Attention
Learning to Solve Vehicle Routing Problems with Time Windows through Joint Attention
Jonas K. Falkner
Lars Schmidt-Thieme
203
48
0
16 Jun 2020
Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time
Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time
Iddo Drori
Anant Kharkar
William R. Sickinger
Brandon Kates
Qiang Ma
Suwen Ge
Eden Dolev
Brenda L Dietrich
David P. Williamson
Madeleine Udell
277
97
0
06 Jun 2020
Dynamic Partial Removal: A Neural Network Heuristic for Large Neighborhood Search
Dynamic Partial Removal: A Neural Network Heuristic for Large Neighborhood Search
Mingxiang Chen
Lei Gao
Qichang Chen
Zhixin Liu
154
20
0
19 May 2020
Reinforcement Learning for Combinatorial Optimization: A Survey
Reinforcement Learning for Combinatorial Optimization: A SurveyComputers & Operations Research (Comput. Oper. Res.), 2020
Nina Mazyavkina
S. Sviridov
Sergei Ivanov
Evgeny Burnaev
527
742
0
07 Mar 2020