Overview

Vehicle routing studies how fleets can serve customers, move goods, or complete tasks efficiently while respecting constraints such as vehicle capacity, time windows, and battery range. Problems range from static delivery tours to dynamic ride-sharing, electric-vehicle charging, and coordinated truck-drone or warehouse-robot operations. Common approaches include exact optimization with branch-and-price, heuristics such as hybrid genetic search and adaptive large-neighborhood search, and neural or reinforcement-learning solvers, often combined with local search or mathematical optimization. A central challenge is balancing solution quality and feasibility with runtime and generalization to larger, changing, or unfamiliar settings, where learned methods do not always outperform strong heuristics.

Latest papers

CardsList

139 papers18 papers in the last four weeks, up 29% on the four weeks before. 0.1% of all new papers.

  1. Rethinking Positional Encoding for Neural Vehicle Routing

    May 12, 2026Chuanbo Hua, Federico Berto, Andre Hottung +8Vehicle RoutingPositional Encoding

  2. Rethinking Constraint Awareness for Efficient State Embedding of Neural Routing Solver

    May 11, 2026Canhong Yu, Changliang Zhou, Rongsheng Chen +2Neural Network OptimizationCombinatorial Optimization

  3. Value-Decomposed Reinforcement Learning Framework for Taxiway Routing with Hierarchical Conflict-Aware Observations

    May 9, 2026Shizhong Zhou, Haifeng Liu, Zheng Zhang +3Collision AvoidanceVehicle Routing

  4. Two-Stage Learned Decomposition for Scalable Routing on Multigraphs

    May 6, 2026Filip Rydin, Morteza Haghir Chehreghani, Balázs KulcsárVehicle RoutingNeural Combinatorial Optimization

  5. Automated Large-scale CVRP Solver Design via LLM-assisted Flexible MCTS

    May 5, 2026Tong Guo, Caishun Chen, Yew Soon OngAutomated Algorithm DiscoveryLarge Language Model-Guided Optimization

  6. Middle-mile logistics through the lens of goal-conditioned reinforcement learning

    May 4, 2026Onno Eberhard, Thibaut Cuvelier, Michal Valko +1Vehicle RoutingGoal-Conditioned RL

  7. Hybrid Quantum Reinforcement Learning with QAOA for Improved Vehicle Routing Optimization

    May 2, 2026T. Satyanarayana Murthy, B. Swathi Sowmya, Santhosh Voruganti +3Quantum Machine LearningCombinatorial Optimization

  8. Instance-Aware Parameter Configuration in Bilevel Late Acceptance Hill Climbing for the Electric Capacitated Vehicle Routing Problem

    May 1, 2026Yinghao Qin, Xinwei Wang, Mosab Bazargani +1Metaheuristic OptimizationVehicle Routing

  9. Agentic AI for Trip Planning Optimization Application

    Apr 30, 2026Tiejin Chen, Ahmadreza Moradipari, Kyungtae Han +2Multi-Agent OrchestrationIntelligent Transportation Systems

  10. FiLMMeD: Feature-wise Linear Modulation for Cross-Problem Multi-Depot Vehicle Routing

    Apr 30, 2026Arthur Corrêa, Paulo Nascimento, Samuel MonizMulti-Task LearningVehicle Routing

  11. Learning to Route Electric Trucks Under Operational Uncertainty

    Apr 29, 2026Stavros Orfanoudakis, Ziyan Li, Ruixiao Yang +4Sequential Decision MakingElectric Vehicle Charging

  12. NCO4CVRP: Neural Combinatorial Optimization for the Capacitated Vehicle Routing Problem

    Apr 17, 2026Mahir Labib Dihan, Md. Ashrafur Rahman Khan, Wasif Jalal +2Inference-Time SearchMetaheuristic Optimization

  13. Driving Assistance System for Ambulances to Minimise the Vibrations in Patient Cabin

    Apr 17, 2026Abdulaziz Aldegheishem, Nabil Alrajeh, Lorena Parra +2Vehicle Routing

  14. Robust Energy-Aware Routing for Air-Ground Cooperative Multi-UAV Delivery in Wind-Uncertain Environments

    Apr 15, 2026Tianshun Li, Hongliang Lu, Yanggang Sheng +3Vehicle RoutingMotion Planning

  15. Bilevel Late Acceptance Hill Climbing for the Electric Capacitated Vehicle Routing Problem

    Apr 14, 2026Yinghao Qin, Mosab Bazargani, Edmund K. Burke +3Vehicle RoutingBilevel Optimization

  16. Enhancing Cross-Problem Vehicle Routing via Federated Learning

    Apr 12, 2026Xiangchi Meng, Jianan Zhou, Jie Gao +4Vehicle RoutingNeural Combinatorial Optimization

  17. Robust Multi-Objective Optimization for Bicycle Rebalancing in Shared Mobility Systems

    Apr 9, 2026Diego Daniel Pedroza-Perez, Gabriel Luque, Sergio Nesmachnow +1Multi-Objective OptimizationRobust Optimization

  18. PyVRP+^+: LLM-Driven Metacognitive Heuristic Evolution for Hybrid Genetic Search in Vehicle Routing Problems

    Apr 9, 2026Manuj Malik, Jianan Zhou, Shashank Reddy Chirra +1Automated Heuristic DesignLarge Language Model-Guided Optimization

  19. Vehicle-as-Prompt: A Unified Deep Reinforcement Learning Framework for Heterogeneous Fleet Vehicle Routing Problem

    Apr 6, 2026Shihong Huang, Shengjie Wang, Lei Gao +4Vehicle RoutingRL for Combinatorial Optimization

  20. Multi-Agent Training-free Urban Food Delivery System using Resilient UMST Network

    Mar 24, 2026Md Nahid Hasan, Vishwam Tiwari, Aditya Challa +2Vehicle RoutingIntelligent Transportation Systems

  21. Energy-Aware Collaborative Exploration for a UAV-UGV Team

    Mar 23, 2026Cahit Ikbal Er, Saikiran Juttu, Yasin YaziciogluMulti-Robot ExplorationMulti-Robot Coordination

  22. Optimal Solutions for the Moving Target Vehicle Routing Problem with Obstacles via Lazy Branch-and-Price

    Mar 23, 2026Anoop Bhat, Geordan Gutow, David Neiman +4Vehicle RoutingMotion Planning

  23. Adversarial Reinforcement Learning for Detecting False Data Injection Attacks in Vehicular Routing

    Mar 12, 2026Taha Eghtesad, Yevgeniy Vorobeychik, Aron LaszkaFalse Data Injection AttacksVehicle Routing

  24. Cluster-Aware Attention-Based Deep Reinforcement Learning for Pickup and Delivery Problems

    Mar 9, 2026Wentao Wang, Lifeng Han, Guangyu ZouVehicle RoutingRL for Combinatorial Optimization

  25. Constraints Matrix Diffusion based Generative Neural Solver for Vehicle Routing Problems

    Mar 8, 2026Zhenwei Wang, Tiehua Zhang, Ning Xue +3Vehicle RoutingNeural Combinatorial Optimization

  26. Dynamic Vehicle Routing Problem with Prompt Confirmation of Advance Requests

    Mar 8, 2026Amutheezan Sivagnanam, Ayan Mukhopadhyay, Samitha Samaranayake +2Vehicle RoutingRL for Combinatorial Optimization

  27. SynthCharge: An Electric Vehicle Routing Instance Generator with Feasibility Screening to Enable Learning-Based Optimization and Benchmarking

    Mar 3, 2026Mertcan Daysalilar, Fuat Uyguroglu, Gabriel Nicolosi +1Synthetic Benchmark GenerationVehicle Routing