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Machine Learning for Combinatorial Optimization: a Methodological Tour
  d'Horizon
v1v2 (latest)

Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon

15 November 2018
Yoshua Bengio
Andrea Lodi
Antoine Prouvost
ArXiv (abs)PDFHTML

Papers citing "Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon"

50 / 567 papers shown
Automatic MILP Solver Configuration By Learning Problem Similarities
Automatic MILP Solver Configuration By Learning Problem SimilaritiesAnnals of Operations Research (Ann. Oper. Res.), 2023
Abdelrahman I. Hosny
Sherief Reda
257
10
0
02 Jul 2023
A Neural Separation Algorithm for the Rounded Capacity Inequalities
A Neural Separation Algorithm for the Rounded Capacity InequalitiesINFORMS journal on computing (IJOC), 2023
Hyeon-Seob Kim
Jinkyoo Park
C. Kwon
171
10
0
29 Jun 2023
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
Federico Berto
Chuanbo Hua
Minjun Kim
Laurin Luttmann
Yining Ma
...
Guojie Song
Changhyun Kwon
Kevin Tierney
Lin Xie
Jinkyoo Park
OffRL
507
29
0
29 Jun 2023
A Survey of Contextual Optimization Methods for Decision Making under
  Uncertainty
A Survey of Contextual Optimization Methods for Decision Making under UncertaintyEuropean Journal of Operational Research (EJOR), 2023
Utsav Sadana
A. Chenreddy
Erick Delage
Alexandre Forel
Emma Frejinger
Thibaut Vidal
AI4CE
316
147
0
17 Jun 2023
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments
  in JAX
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX
Matthew Macfarlane
Daniel Luo
Donal Byrne
Shikha Surana
Sasha Abramowitz
...
Siddarth S. Singh
Daniel Furelos-Blanco
Victor Le
Arnu Pretorius
Alexandre Laterre
297
44
0
16 Jun 2023
Self-supervised Equality Embedded Deep Lagrange Dual for Approximate
  Constrained Optimization
Self-supervised Equality Embedded Deep Lagrange Dual for Approximate Constrained Optimization
Minsoo Kim
Hongseok Kim
222
5
0
11 Jun 2023
Finding Hamiltonian cycles with graph neural networks
Finding Hamiltonian cycles with graph neural networksInternational Symposium on Image and Signal Processing and Analysis (ISPA), 2023
Filip Bosnić
M. Šikić
160
2
0
10 Jun 2023
Learning optimal controllers: a dynamical motion primitive approach
Learning optimal controllers: a dynamical motion primitive approachIFAC-PapersOnLine (IFAC-PapersOnLine), 2023
Hugo Tadashi M. Kussaba
Abdalla Swikir
Fan Wu
Anastasija Demerdjieva
Gitta Kutyniok
Sami Haddadin
89
1
0
10 Jun 2023
An End-to-End Reinforcement Learning Approach for Job-Shop Scheduling
  Problems Based on Constraint Programming
An End-to-End Reinforcement Learning Approach for Job-Shop Scheduling Problems Based on Constraint ProgrammingInternational Conference on Automated Planning and Scheduling (ICAPS), 2023
Pierre Tassel
Martin Gebser
Konstantin Schekotihin
100
25
0
09 Jun 2023
Towards Omni-generalizable Neural Methods for Vehicle Routing Problems
Towards Omni-generalizable Neural Methods for Vehicle Routing ProblemsInternational Conference on Machine Learning (ICML), 2023
Jianan Zhou
Yaoxin Wu
Wen Song
Zhiguang Cao
Jie Zhang
249
79
0
31 May 2023
Towards Constituting Mathematical Structures for Learning to Optimize
Towards Constituting Mathematical Structures for Learning to OptimizeInternational Conference on Machine Learning (ICML), 2023
Jialin Liu
Xiaohan Chen
Zinan Lin
W. Yin
HanQin Cai
285
16
0
29 May 2023
Let the Flows Tell: Solving Graph Combinatorial Optimization Problems
  with GFlowNets
Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets
Dinghuai Zhang
H. Dai
Nikolay Malkin
Aaron Courville
Yoshua Bengio
L. Pan
292
44
0
26 May 2023
Neural incomplete factorization: learning preconditioners for the
  conjugate gradient method
Neural incomplete factorization: learning preconditioners for the conjugate gradient method
Paul Hausner
Ozan Oktem
Jens Sjölund
734
17
0
25 May 2023
Neural Bee Colony Optimization: A Case Study in Public Transit Network
  Design
Neural Bee Colony Optimization: A Case Study in Public Transit Network Design
Andrew Holliday
Gregory Dudek
78
2
0
18 May 2023
Curriculum Learning in Job Shop Scheduling using Reinforcement Learning
Curriculum Learning in Job Shop Scheduling using Reinforcement Learning
Constantin Waubert de Puiseau
Hasan Tercan
Tobias Meisen
114
3
0
17 May 2023
Assessment of Reinforcement Learning Algorithms for Nuclear Power Plant
  Fuel Optimization
Assessment of Reinforcement Learning Algorithms for Nuclear Power Plant Fuel Optimization
Paul Seurin
K. Shirvan
254
14
0
09 May 2023
Scope Restriction for Scalable Real-Time Railway Rescheduling: An
  Exploratory Study
Scope Restriction for Scalable Real-Time Railway Rescheduling: An Exploratory Study
Erik Nygren
Christian Eichenberger
Emma Frejinger
70
1
0
05 May 2023
Towards Invertible Semantic-Preserving Embeddings of Logical Formulae
Towards Invertible Semantic-Preserving Embeddings of Logical FormulaeInternational Workshop on Neural-Symbolic Learning and Reasoning (NeSy), 2023
Gaia Saveri
Luca Bortolussi
NAI
164
3
0
03 May 2023
When Deep Learning Meets Polyhedral Theory: A Survey
When Deep Learning Meets Polyhedral Theory: A Survey
Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
AI4CE
661
44
0
29 Apr 2023
H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman
  Problem
H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman ProblemAAAI Conference on Artificial Intelligence (AAAI), 2023
Xuanhao Pan
Yan Jin
Yuandong Ding
Ming Feng
Li Zhao
Lei Song
Jiang Bian
205
70
0
19 Apr 2023
A Scalable Test Problem Generator for Sequential Transfer Optimization
A Scalable Test Problem Generator for Sequential Transfer OptimizationIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2023
Xiaoming Xue
Cuie Yang
Liang Feng
Jiaxing Huang
Linqi Song
Kay Chen Tan
160
18
0
17 Apr 2023
Quantifying and Explaining Machine Learning Uncertainty in Predictive
  Process Monitoring: An Operations Research Perspective
Quantifying and Explaining Machine Learning Uncertainty in Predictive Process Monitoring: An Operations Research PerspectiveAnnals of Operations Research (Ann. Oper. Res.), 2023
Nijat Mehdiyev
Maxim Majlatow
Peter Fettke
201
28
0
13 Apr 2023
Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph
  Neural Networks
Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural NetworksLearning and Intelligent Optimization (LION), 2023
George Watkins
Giovanni Montana
Juergen Branke
GNN
193
7
0
08 Apr 2023
Combinatorial Optimization enriched Machine Learning to solve the
  Dynamic Vehicle Routing Problem with Time Windows
Combinatorial Optimization enriched Machine Learning to solve the Dynamic Vehicle Routing Problem with Time WindowsTransportation Science (Transp. Sci.), 2023
Léo Baty
Kai Jungel
P. Klein
Axel Parmentier
Maximilian Schiffer
204
43
0
03 Apr 2023
Graph Neural Networks for the Offline Nanosatellite Task Scheduling Problem
Graph Neural Networks for the Offline Nanosatellite Task Scheduling Problem
Bruno Machado Pacheco
L. O. Seman
C. A. Rigo
E. Camponogara
E. Bezerra
L. Coelho
263
1
0
24 Mar 2023
Unsupervised Learning for Solving the Travelling Salesman Problem
Unsupervised Learning for Solving the Travelling Salesman ProblemNeural Information Processing Systems (NeurIPS), 2023
Yimeng Min
Yiwei Bai
Daniel Schwalbe-Koda
OT
222
56
0
19 Mar 2023
A hybrid deep-learning-metaheuristic framework for bi-level network
  design problems
A hybrid deep-learning-metaheuristic framework for bi-level network design problemsExpert systems with applications (ESWA), 2023
B. Madadi
Gonçalo Homem de Almeida Rodriguez Correia
224
9
0
10 Mar 2023
Preference-Aware Delivery Planning for Last-Mile Logistics
Preference-Aware Delivery Planning for Last-Mile LogisticsAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Qian Shao
Shih-Fen Cheng
66
1
0
08 Mar 2023
Neural Airport Ground Handling
Neural Airport Ground Handling
Yaoxin Wu
Jianan Zhou
Yunwen Xia
Xianli Zhang
Zhiguang Cao
Jie Zhang
AI4TS
201
20
0
04 Mar 2023
Heuristics for Vehicle Routing Problem: A Survey and Recent Advances
Heuristics for Vehicle Routing Problem: A Survey and Recent Advances
Fei Liu
Chengyu Lu
Lin Gui
Qingfu Zhang
Xialiang Tong
Mingxuan Yuan
193
27
0
01 Mar 2023
ASP: Learn a Universal Neural Solver!
ASP: Learn a Universal Neural Solver!IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Chenguang Wang
Zhouliang Yu
Alexander Shmakov
Tianshu Yu
Yao-Chun Yang
AAML
236
35
0
01 Mar 2023
Graph Reinforcement Learning for Operator Selection in the ALNS
  Metaheuristic
Graph Reinforcement Learning for Operator Selection in the ALNS MetaheuristicInternational Conferences on Optimization and Learning (ICCOL), 2023
Syu-Ning Johnn
Victor-Alexandru Darvariu
J. Handl
Joerg Kalcsics
131
5
0
28 Feb 2023
WISK: A Workload-aware Learned Index for Spatial Keyword Queries
WISK: A Workload-aware Learned Index for Spatial Keyword Queries
Yufan Sheng
Xin Cao
Yixiang Fang
Kaiqi Zhao
Jianzhong Qi
Gao Cong
Wenjie Zhang
237
21
0
28 Feb 2023
Machine Learning for Cutting Planes in Integer Programming: A Survey
Machine Learning for Cutting Planes in Integer Programming: A SurveyInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Arnaud Deza
Elias Boutros Khalil
178
36
0
17 Feb 2023
Semiconductor Fab Scheduling with Self-Supervised and Reinforcement
  Learning
Semiconductor Fab Scheduling with Self-Supervised and Reinforcement LearningOnline World Conference on Soft Computing in Industrial Applications (WSCIA), 2023
Pierre Tassel
Benjamin Kovács
Martin Gebser
Konstantin Schekotihin
Patrick Stöckermann
Georg Seidel
87
10
0
14 Feb 2023
Learning-based Online Optimization for Autonomous Mobility-on-Demand
  Fleet Control
Learning-based Online Optimization for Autonomous Mobility-on-Demand Fleet ControlINFORMS journal on computing (IJOC), 2023
Kai Jungel
Axel Parmentier
Maximilian Schiffer
Thibaut Vidal
150
18
0
08 Feb 2023
Digital Twin Applications in Urban Logistics: An Overview
Digital Twin Applications in Urban Logistics: An OverviewUrban, Planning and Transport Research (UPTR), 2023
Abdo Abouelrous
Laurens Bliek
Yingqian Zhang
AI4CE
162
25
0
01 Feb 2023
Learning Cut Selection for Mixed-Integer Linear Programming via
  Hierarchical Sequence Model
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence ModelInternational Conference on Learning Representations (ICLR), 2023
Zhihai Wang
Xijun Li
Jie Wang
Yufei Kuang
Mingxuan Yuan
Jianguo Zeng
Yongdong Zhang
Feng Wu
214
58
0
01 Feb 2023
Partitioning Distributed Compute Jobs with Reinforcement Learning and
  Graph Neural Networks
Partitioning Distributed Compute Jobs with Reinforcement Learning and Graph Neural NetworksSocial Science Research Network (SSRN), 2023
Christopher W. F. Parsonson
Zacharaya Shabka
Alessandro Ottino
G. Zervas
243
0
0
31 Jan 2023
Learning Coordination Policies over Heterogeneous Graphs for Human-Robot
  Teams via Recurrent Neural Schedule Propagation
Learning Coordination Policies over Heterogeneous Graphs for Human-Robot Teams via Recurrent Neural Schedule PropagationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Batuhan Altundas
Zheyuan Wang
Joshua Bishop
Matthew C. Gombolay
116
10
0
30 Jan 2023
A Sequential Deep Learning Algorithm for Sampled Mixed-integer
  Optimisation Problems
A Sequential Deep Learning Algorithm for Sampled Mixed-integer Optimisation ProblemsInformation Sciences (Inf. Sci.), 2023
M. Chamanbaz
Roland Bouffanais
59
1
0
25 Jan 2023
Learning To Dive In Branch And Bound
Learning To Dive In Branch And BoundNeural Information Processing Systems (NeurIPS), 2023
Max B. Paulus
Andreas Krause
189
10
0
24 Jan 2023
Two-Stage Learning For the Flexible Job Shop Scheduling Problem
Two-Stage Learning For the Flexible Job Shop Scheduling Problem
Wenbo Chen
Reem Khir
Pascal Van Hentenryck
109
5
0
23 Jan 2023
Robust Scheduling with GFlowNets
Robust Scheduling with GFlowNetsInternational Conference on Learning Representations (ICLR), 2023
David W. Zhang
Corrado Rainone
M. Peschl
Roberto Bondesan
395
63
0
17 Jan 2023
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial
  Optimization
BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial OptimizationNeural Information Processing Systems (NeurIPS), 2023
Darko Drakulic
Sofia Michel
Florian Mai
Arnaud Sors
J. Andreoli
OffRL
414
72
0
09 Jan 2023
Learning a Generic Value-Selection Heuristic Inside a Constraint
  Programming Solver
Learning a Generic Value-Selection Heuristic Inside a Constraint Programming SolverInternational Conference on Principles and Practice of Constraint Programming (CP), 2023
Tom Marty
Tristan François
Pierre Tessier
Louis Gautier
Louis-Martin Rousseau
Quentin Cappart
266
7
0
05 Jan 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
161
7
0
22 Dec 2022
Learning to repeatedly solve routing problems
Learning to repeatedly solve routing problemsNetworks (Networks), 2022
Mouad Morabit
G. Desaulniers
Andrea Lodi
152
9
0
15 Dec 2022
Learning Markov Random Fields for Combinatorial Structures via Sampling
  through Lovász Local Lemma
Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local LemmaAAAI Conference on Artificial Intelligence (AAAI), 2022
Nan Jiang
Yi Gu
Yexiang Xue
282
1
0
01 Dec 2022
Denoising Diffusion for Sampling SAT Solutions
Denoising Diffusion for Sampling SAT Solutions
Kārlis Freivalds
Sergejs Kozlovics
147
3
0
30 Nov 2022
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