Latest Research in Optimization and Control

Top Research Topics in Optimization and Control

• Optimization and Control — 4 papers
• Machine Learning — 4 papers
• Data Structures and Algorithms — 2 papers
• Robotics — 2 papers
• Multiagent Systems — 2 papers
• Electric Vehicles and Infrastructure — 1 papers
• Air Traffic Management and Optimization — 1 papers
• Autonomous Vehicle Technology and Safety — 1 papers
• Theoretical Economics — 1 papers
• Combinatorics — 1 papers

Highest-Cited Papers

1. First-Order Methods for Wasserstein Distributionally Robust Constrained Optimization
2. Vehicle Development and Modern Technologies
3. Spatiotemporal Prediction-Driven Model Predictive Control for Vehicle–Aircraft Conflict Resolution on Airport Surface
4. CoRe-MARL: Cooperative Redistribution Under Unknown Dynamics Using Recurrent Multi-Agent Reinforcement Learning
5. AutoE2E: Open-Loop Evaluation of a Map- and Oracle-Route-Conditioned Temporal BEV Planner
6. Improved Approximation for Unsplittable CVRP via a Greedy Approach
7. A Reusable Framework for Robust Approximation Algorithms in the Interval Uncertainty Model
8. High-Fidelity Multi-Body Simulator for Autonomous Racing
9. Cooperative Integer Programming Games: Core Stability and Optimal Coalition Structures
10. Flow Games with Public Arcs: the Least Core and the Nucleolus
11. Data-Driven Contextual Optimization with Gaussian Mixtures: Flow-Based Generalization, Robust Models, and Multistage Extensions
12. Adaptive Cost-Sensitive Machine Learning for Autonomous Robot Navigation Failure Prediction: When Not All Errors Are Equal
13. RideSkill: A Hierarchical Algorithm for Generalized Ride Sharing with LLM-Driven Automatic Evolution
14. Probabilistic Multi-Agent Aircraft Landing Time Prediction
15. Recurrent State Encoders for Efficient Neural Combinatorial Optimization
16. Graph4BiLO: Graph Neural Network Approximation for Bilevel Mixed-Integer Linear Optimization
17. Algorithms for Computing Set Tolerances: Theory, Computational Analysis and Applications
18. Improving Cross-Problem Vehicle Routing with Locally Augmented Preferences and Representation Disentanglement
19. Constrained Reinforcement Learning for the Dynamic Inventory Routing Problem under Stochastic Supply and Demand
20. Calibrating Perception Uncertainty for Autonomous Driving