Latest Research in Vehicle Routing Optimization Methods
16 research papers · 2026 median publication year
Top Research Topics in Vehicle Routing Optimization Methods
- Vehicle Routing Optimization Methods — 4 papers
- Artificial Intelligence — 3 papers
- Machine Learning — 2 papers
- Transportation and Mobility Innovations — 1 papers
- Evacuation and Crowd Dynamics — 1 papers
- Optimization and Control — 1 papers
- Computer Science and Game Theory — 1 papers
- Networking and Internet Architecture — 1 papers
- Smart Parking Systems Research — 1 papers
- Facility Location and Emergency Management — 1 papers
Highest-Cited Papers
- Transferable reinforcement learning for demand-responsive transit scheduling via offline pre-training and online fine-tuning
- GPEvac: GNN-Based PPO for Adaptive Evacuation Routing During Shooting Events
- Multi-Modal Collaborative Evacuation During Mass Gatherings via Distributional Reinforcement Learning
- Deterministic and Random Bipartite Matching on General Networks: Convex Flow Reformulation, Asymptotic Properties, and Fast Algorithms
- Stable Voting Rules on the Edge of Optimal Metric Distortion
- Learning Adaptive SED for heterogeneous load balancing
- Learning Constraints-Based Adaptive Hypergraph Neural Networks for Solving Vehicle Routing Problems
- A Multi-Strategy Improved Ant Colony Optimization Algorithm for the Electric Vehicle Routing Problem with Time Windows and En-Route Recharging
- WiP: Characterizing and Defending Against Mobile-Agent-Driven MFA Automation
- Active navigation with reinforcement learning for bus stop amenity auditing in street view imagery
- Learning Constraints-Based Adaptive Hypergraph Neural Networks for Solving Vehicle Routing Problems
- Reinforcement Learning Enhanced LLM Agents for Complex Vehicle Routing Problems
- TAWJEEH: An Integrated Deep Reinforcement Learning and Heuristic Framework for Cellular Vehicle-to-Everything Enabled Real-Time Multidepot Vehicle Routing Optimization in Urban Logistics
- Riesz $$\varvec{s}$$-Energy Regularized Bi-Objective Maximal Covering Location Problem and its solution via a memetic algorithm
- Deep reinforcement learning for optimizing mobile depots allocation and hybrid order dispatch in last-mile delivery under multi-participants behavioral uncertainty
- Memory-Enhanced Neural Solvers for Routing Problems