Cover Image

A Rolling-Space Branch-and-Price Algorithm for the Multi-Compartment Vehicle Routing Problem with Multiple Time Windows

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Raqabi, El Mehdi Er, Dalmeijer, Kevin, Van Hentenryck, Pascal
Format:	Preprint
Published:	2026
Subjects:	Optimization and Control Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Fair OR-ML Framework for Resource Substitution in Large-Scale Networks
by: Mohan, Ved, et al.
Published: (2025)

Scheduling and Routing in the Flexible Job Shop with Heterogeneous Transbots and Zoning: A Constraint Programming Approach
by: Moinuddin, Arnovi, et al.
Published: (2026)

AI4OPT: AI Institute for Advances in Optimization
by: Van Hentenryck, Pascal, et al.
Published: (2023)

Practice-Based Optimization for the Strategic Locomotive Assignment Problem
by: Kim, Yunji, et al.
Published: (2025)

Optimizing Multiple-Control Toffoli Quantum Circuit Design with Constraint Programming
by: Jung, Jihye, et al.
Published: (2024)

Democratizing Large-Scale Re-Optimization with LLM-Guided Model Patches
by: Ye, Tinghan, et al.
Published: (2026)

Optimizing Autonomous Transfer Hub Networks: Quantifying the Potential Impact of Self-Driving Trucks
by: Lee, Chungjae, et al.
Published: (2023)

Paratransit Optimization with Constraint Programming: A Case Study in Savannah, Georgia
by: Jagrowski, Liam, et al.
Published: (2025)

The Impact of Congestion and Dedicated Lanes on On-Demand Multimodal Transit Systems
by: Lu, Jason, et al.
Published: (2023)

Contextual Stochastic Vehicle Routing with Time Windows
by: Serrano, Breno, et al.
Published: (2024)

Self-Supervised Learning for Large-Scale Preventive Security Constrained DC Optimal Power Flow
by: Park, Seonho, et al.
Published: (2023)

Dual Lagrangian Learning for Conic Optimization
by: Tanneau, Mathieu, et al.
Published: (2024)

Route Optimization Over Scheduled Services For Large-Scale Package Delivery Networks
by: Ahmed, Mohammed Faisal, et al.
Published: (2025)

Branch-Price-and-Cut Accelerated with a Pricing for Integrality Heuristic for the Electrical Vehicle Routing Problem with Time Windows and Charging Time Slots
by: Eveborn, Lukas, et al.
Published: (2026)

Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow
by: Qiu, Guancheng, et al.
Published: (2025)

Dual Interior Point Optimization Learning
by: Klamkin, Michael, et al.
Published: (2024)

Transit Network Design with Two-Level Demand Uncertainties: A Machine Learning and Contextual Stochastic Optimization Framework
by: Guan, Hongzhao, et al.
Published: (2026)

Dual Conic Proxies for AC Optimal Power Flow
by: Qiu, Guancheng, et al.
Published: (2023)

Sensor-Driven Predictive Vehicle Maintenance and Routing Problem with Time Windows
by: Kazemian, Iman, et al.
Published: (2024)

A Unified Approach to Evaluation and Routing in Public Transport Systems
by: van Lieshout, Rolf Nelson, et al.
Published: (2022)

Optimization Learning
by: Van Hentenryck, Pascal
Published: (2025)

Bilevel Optimization and Heuristic Algorithms for Integrating Latent Demand into the Design of Large-Scale Transit Systems
by: Guan, Hongzhao, et al.
Published: (2022)

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow
by: Klamkin, Michael, et al.
Published: (2025)

Differentiable Optimization for Deep Learning-Enhanced DC Approximation of AC Optimal Power Flow
by: Rosemberg, Andrew, et al.
Published: (2025)

Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling
by: Lu, Jiawei, et al.
Published: (2024)

Bound Tightening using Rolling-Horizon Decomposition for Neural Network Verification
by: Zhao, Haoruo, et al.
Published: (2024)

On the Viability of Stochastic Economic Dispatch for Real-Time Energy Market Clearing
by: Zhao, Haoruo, et al.
Published: (2023)

Contextual Stochastic Optimization for Omnichannel Multi-Courier Order Fulfillment Under Delivery Time Uncertainty
by: Ye, Tinghan, et al.
Published: (2024)

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch
by: Klamkin, Michael, et al.
Published: (2025)

Stochastic Multi-objective Multi-trip AMR Routing Problem with Time Windows
by: Cheng, Lulu, et al.
Published: (2024)

Gamifying the Vehicle Routing Problem with Stochastic Requests
by: Kullman, Nicholas D., et al.
Published: (2019)

Reinforcement Learning for Multi-Truck Vehicle Routing Problems
by: Levin, Joshua, et al.
Published: (2022)

Resource-robust valid inequalities for vehicle routing and related problems
by: Hoogendoorn, Ymro N., et al.
Published: (2023)

Sobolev Training of End-to-End Optimization Proxies
by: Rosemberg, Andrew W., et al.
Published: (2025)

Parallel Batch Scheduling With Incompatible Job Families Via Constraint Programming
by: Huertas, Jorge A., et al.
Published: (2024)

Deep Learning for the Multiple Optimal Stopping Problem
by: Laurière, Mathieu, et al.
Published: (2025)

RouteExplainer: An Explanation Framework for Vehicle Routing Problem
by: Kikuta, Daisuke, et al.
Published: (2024)

Path-Based Formulations for the Design of On-demand Multimodal Transit Systems with Adoption Awareness
by: Guan, Hongzhao, et al.
Published: (2023)

Bucketized Active Sampling for Learning ACOPF
by: Klamkin, Michael, et al.
Published: (2022)

Using Reinforcement Learning for the Three-Dimensional Loading Capacitated Vehicle Routing Problem
by: Schoepf, Stefan, et al.
Published: (2023)