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1811.06128
Cited By

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

Antoine Prouvost

ArXiv (abs)PDF HTML

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

50 / 567 papers shown

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A Fair OR-ML Framework for Resource Substitution in Large-Scale Networks

A Fair OR-ML Framework for Resource Substitution in Large-Scale Networks

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Pascal Van Hentenryck

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When Words Change the Model: Sensitivity of LLMs for Constraint Programming Modelling

When Words Change the Model: Sensitivity of LLMs for Constraint Programming Modelling

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An End-to-End Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drones

An End-to-End Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drones

273

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Finding Probably Approximate Optimal Solutions by Training to Estimate the Optimal Values of Subproblems

Finding Probably Approximate Optimal Solutions by Training to Estimate the Optimal Values of Subproblems

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An In-depth Study of LLM Contributions to the Bin Packing Problem

An In-depth Study of LLM Contributions to the Bin Packing Problem

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Probing Neural Combinatorial Optimization Models

Probing Neural Combinatorial Optimization Models

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104

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Demonstrating Real Advantage of Machine-Learning-Enhanced Monte Carlo for Combinatorial Optimization

Demonstrating Real Advantage of Machine-Learning-Enhanced Monte Carlo for Combinatorial Optimization

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Federico Ricci-Tersenghi

Francesco Zamponi

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A Markov Decision Process for Variable Selection in Branch & Bound

A Markov Decision Process for Variable Selection in Branch & Bound

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138

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Multi-Action Self-Improvement for Neural Combinatorial Optimization

Multi-Action Self-Improvement for Neural Combinatorial Optimization

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173

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Refining Hybrid Genetic Search for CVRP via Reinforcement Learning-Finetuned LLM

Refining Hybrid Genetic Search for CVRP via Reinforcement Learning-Finetuned LLM

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Enhancing the Cross-Size Generalization for Solving Vehicle Routing Problems via Continual Learning

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A Denoising Diffusion-Based Evolutionary Algorithm Framework: Application to the Maximum Independent Set Problem

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114

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VRPAgent: LLM-Driven Discovery of Heuristic Operators for Vehicle Routing Problems

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157

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Bootstrap Learning for Combinatorial Graph Alignment with Sequential GNNs

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139

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Test-Time Search in Neural Graph Coarsening Procedures for the Capacitated Vehicle Routing Problem

Test-Time Search in Neural Graph Coarsening Procedures for the Capacitated Vehicle Routing Problem

89

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Hybrid Quantum-Classical Optimisation of Traveling Salesperson Problem

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58

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30 Sep 2025

Bundle Network: a Machine Learning-Based Bundle Method

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Antonio Frangioni

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88

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URS: A Unified Neural Routing Solver for Cross-Problem Zero-Shot Generalization

URS: A Unified Neural Routing Solver for Cross-Problem Zero-Shot Generalization

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156

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Lifelong Learning with Behavior Consolidation for Vehicle Routing

Lifelong Learning with Behavior Consolidation for Vehicle Routing

298

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Tackling GNARLy Problems: Graph Neural Algorithmic Reasoning Reimagined through Reinforcement Learning

Tackling GNARLy Problems: Graph Neural Algorithmic Reasoning Reimagined through Reinforcement Learning

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128

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Conditional Policy Generator for Dynamic Constraint Satisfaction and Optimization

Conditional Policy Generator for Dynamic Constraint Satisfaction and Optimization

108

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HyP-ASO: A Hybrid Policy-based Adaptive Search Optimization Framework for Large-Scale Integer Linear Programs

HyP-ASO: A Hybrid Policy-based Adaptive Search Optimization Framework for Large-Scale Integer Linear Programs

176

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Provably data-driven projection method for quadratic programming

Provably data-driven projection method for quadratic programming

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207

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FORGE: Foundational Optimization Representations from Graph Embeddings

FORGE: Foundational Optimization Representations from Graph Embeddings

Serdar Kadioglu

294

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Constraint Matters: Multi-Modal Representation for Reducing Mixed-Integer Linear programming

Constraint Matters: Multi-Modal Representation for Reducing Mixed-Integer Linear programming

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96

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ReviBranch: Deep Reinforcement Learning for Branch-and-Bound with Revived Trajectories

ReviBranch: Deep Reinforcement Learning for Branch-and-Bound with Revived Trajectories

40

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An Efficient Hybridization of Graph Representation Learning and Metaheuristics for the Constrained Incremental Graph Drawing Problem

An Efficient Hybridization of Graph Representation Learning and Metaheuristics for the Constrained Incremental Graph Drawing ProblemEuropean Journal of Operational Research (EJOR), 2025

Bruna C. B. Charytitsch

María C. V. Nascimento

117

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Minimizing the Weighted Number of Tardy Jobs: Data-Driven Heuristic for Single-Machine Scheduling

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Nikolai Antonov

Prěmysl Šůcha

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Pinet: Optimizing hard-constrained neural networks with orthogonal projection layers

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Nonlocal Monte Carlo via Reinforcement Learning

Nonlocal Monte Carlo via Reinforcement Learning

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141

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Hybrid Node-Destroyer Model with Large Neighborhood Search for Solving the Capacitated Vehicle Routing Problem

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Bachtiar Herdianto

116

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Edge-Selector Model Applied for Local Search Neighborhood for Solving Vehicle Routing Problems

Edge-Selector Model Applied for Local Search Neighborhood for Solving Vehicle Routing Problems

Bachtiar Herdianto

96

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From Natural Language to Solver-Ready Power System Optimization: An LLM-Assisted, Validation-in-the-Loop Framework

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Amirthagunaraj Yogarathnam

116

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Lifelong Learner: Discovering Versatile Neural Solvers for Vehicle Routing Problems

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Senthilnath Jayavelu

167

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ParBalans: Parallel Multi-Armed Bandits-based Adaptive Large Neighborhood Search

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76

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On Distributional Dependent Performance of Classical and Neural Routing Solvers

On Distributional Dependent Performance of Classical and Neural Routing Solvers

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153

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Unsupervised Learning for the Elementary Shortest Path Problem

Unsupervised Learning for the Elementary Shortest Path Problem

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No AI Without PI! Object-Centric Process Mining as the Enabler for Generative, Predictive, and Prescriptive Artificial Intelligence

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Wil M.P. van der Aalst

76

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Parametrized Multi-Agent Routing via Deep Attention Models

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Dhananjay Tiwari

142

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Efficient Neural Combinatorial Optimization Solver for the Min-max Heterogeneous Capacitated Vehicle Routing Problem

Efficient Neural Combinatorial Optimization Solver for the Min-max Heterogeneous Capacitated Vehicle Routing Problem

158

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Virne: A Comprehensive Benchmark for Deep RL-based Network Resource Allocation in NFV

Virne: A Comprehensive Benchmark for Deep RL-based Network Resource Allocation in NFV

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Physics-aware Truck and Drone Delivery Planning Using Optimization & Machine Learning

Physics-aware Truck and Drone Delivery Planning Using Optimization & Machine Learning

Armin Fügenschuh

100

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Binarizing Physics-Inspired GNNs for Combinatorial Optimization

Binarizing Physics-Inspired GNNs for Combinatorial Optimization

Vyacheslav Kungurtsev

Georgios Korpas

229

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18 Jul 2025

Learning to Solve Constrained Bilevel Control Co-Design Problems

Learning to Solve Constrained Bilevel Control Co-Design Problems

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Ferdinando Fioretto

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Learning to Segment for Vehicle Routing Problems

Learning to Segment for Vehicle Routing Problems

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On Training-Test (Mis)alignment in Unsupervised Combinatorial Optimization: Observation, Empirical Exploration, and Analysis

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EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems

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