Latest Research in Machine Learning
21 research papers · 2026 median publication year
Top Research Topics in Machine Learning
- Vehicle Routing Optimization Methods — 3 papers
- Machine Learning — 3 papers
- Artificial Intelligence — 2 papers
- Neural and Evolutionary Computing — 1 papers
- Maritime Ports and Logistics — 1 papers
- Robotics — 1 papers
- Computer Science and Game Theory — 1 papers
- Optimization and Packing Problems — 1 papers
- Data Structures and Algorithms — 1 papers
- Risk Management — 1 papers
Highest-Cited Papers
- Reinforcement learning for initializing genetic algorithms in vehicle routing
- A Metaheuristic Optimization Framework for Discrete Optimization under Strict Time Limits
- Endogenous FIFO-Batch Control for Dynamic Yard-to-Ferry Loading: A Deterministic Two-Stage Receding-Horizon Rollout
- Planning or Learning: Reliability and Cost in Multi-Asset Maintenance
- Optimal Solutions for the Moving Target Vehicle Routing Problem with Obstacles via Lazy Branch-and-Price
- Scaling Chance-Constrained Correlated Equilibrium Computation for Exclusive Resource-Assignment Games
- Random‐key optimization for 2D irregular packing with reusable area evaluation
- Finite Pinwheel Covering
- Robust optimized certainty equivalents and quantiles for loss positions with distribution uncertainty
- OR-Transformer: Scaling Real-Time Decision-Making to 1,000 Items
- Data-Driven Distributionally Robust Optimization for Elective Operating Room Allocation Under Moment-Based Ambiguity Sets: Exact Reformulations and a Column Generation Approach
- GeoPAR: Large-Scale Multi-Agent Combinatorial Optimization with Geometry-Guided Parallel Autoregressive Learning
- An application of multi-armed bandit learning on a multi-agent framework for metaheuristics
- Graph Traversal in the Presence of an Adversary
- Trajectory-Initialized Neural Double Q-Routing for Large-Scale Overhead Hoist Transport Systems
- A Parametrized Complexity View on Robust Scheduling with Budgeted Uncertainty
- HRC: A Hybrid Reconstruction Framework for Neural Combinatorial Optimization Solvers
- AI-Driven Reliable SFC Deployment: Challenges, Opportunities, and Perspectives
- Intelligent scheduling approach for steelmaking-continuous casting interface using on improved Q-learning
- Pivot-and-Station Multi-Agent Path Finding: Solvability, Complexity, and Algorithms