{"total":84,"rows":[{"id":"2310.07985","title":"Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization","created":"2023-10-12","cited_by_count":142,"area":null},{"id":"2210.04123","title":"DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems","created":"2022-10-08","cited_by_count":129,"area":null},{"id":"2207.06190","title":"Simulation-guided Beam Search for Neural Combinatorial Optimization","created":"2022-07-13","cited_by_count":84,"area":null},{"id":"2309.14032","title":"DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization","created":"2023-09-25","cited_by_count":78,"area":null},{"id":"2306.17100","title":"RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark","created":"2023-06-29","cited_by_count":71,"area":null},{"id":"2305.19587","title":"Towards Omni-generalizable Neural Methods for Vehicle Routing Problems","created":"2023-05-31","cited_by_count":69,"area":null},{"id":"2203.15386","title":"Pareto Set Learning for Neural Multi-objective Combinatorial Optimization","created":"2022-03-29","cited_by_count":56,"area":null},{"id":"2302.01578","title":"Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning","created":"2023-02-03","cited_by_count":37,"area":null},{"id":"2202.07241","title":"Learning to Solve Routing Problems via Distributionally Robust Optimization","created":"2022-02-15","cited_by_count":31,"area":null},{"id":"2410.21066","title":"Learning to Handle Complex Constraints for Vehicle Routing Problems","created":"2024-10-28","cited_by_count":29,"area":null},{"id":"2404.11677","title":"Cross-Problem Learning for Solving Vehicle Routing Problems","created":"2024-04-17","cited_by_count":24,"area":null},{"id":"2306.02688","title":"Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optimization","created":"2023-06-05","cited_by_count":23,"area":null},{"id":"2406.00415","title":"Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives","created":"2024-06-01","cited_by_count":23,"area":null},{"id":"2211.10936","title":"Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling","created":"2022-11-20","cited_by_count":20,"area":null},{"id":"2205.02453","title":"Learning to Solve Vehicle Routing Problems: A Survey","created":"2022-05-05","cited_by_count":16,"area":null},{"id":"2207.03876","title":"Reinforced Lin-Kernighan-Helsgaun Algorithms for the Traveling Salesman Problems","created":"2022-07-08","cited_by_count":12,"area":null},{"id":"2207.05899","title":"Neural Topological Ordering for Computation Graphs","created":"2022-07-13","cited_by_count":12,"area":null},{"id":"2506.02392","title":"Improving Generalization of Neural Combinatorial Optimization for Vehicle Routing Problems via Test-Time Projection Learning","created":"2025-06-03","cited_by_count":12,"area":null},{"id":"2503.01931","title":"Adversarial Generative Flow Network for Solving Vehicle Routing Problems","created":"2025-03-03","cited_by_count":10,"area":null},{"id":"2505.13904","title":"Learning to Insert for Constructive Neural Vehicle Routing Solver","created":"2025-05-20","cited_by_count":10,"area":null},{"id":"2410.04968","title":"Collaboration! Towards Robust Neural Methods for Routing Problems","created":"2024-10-07","cited_by_count":9,"area":null},{"id":"2209.06094","title":"Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning","created":"2022-09-13","cited_by_count":8,"area":null},{"id":"2408.16717","title":"GREAT: A Graph Edge Attention Network for the Electric Vehicle Routing Problem with Asymmetric Costs","created":"2024-08-29","cited_by_count":8,"area":null},{"id":"2410.11061","title":"Learning to Optimize for Mixed-Integer Non-linear Programming with Feasibility Guarantees","created":"2024-10-14","cited_by_count":8,"area":null},{"id":"2303.02442","title":"Neural Airport Ground Handling","created":"2023-03-04","cited_by_count":7,"area":null},{"id":"2306.01276","title":"Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization","created":"2023-06-02","cited_by_count":7,"area":null},{"id":"2507.00218","title":"Learning for routing: A guided review of recent developments and future directions","created":"2025-06-30","cited_by_count":7,"area":null},{"id":"2508.03929","title":"MOTIF: Multi-strategy Optimization via Turn-based Interactive Framework","created":"2025-08-05","cited_by_count":7,"area":null},{"id":"2510.04792","title":"Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems","created":"2025-10-06","cited_by_count":7,"area":null},{"id":"2510.21453","title":"Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP","created":"2025-10-24","cited_by_count":7,"area":null},{"id":"2205.11638","title":"DOGE-Train: Discrete Optimization on GPU with End-to-end Training","created":"2022-05-23","cited_by_count":6,"area":null},{"id":"2210.12075","title":"Neural Networks for Local Search and Crossover in Vehicle Routing: A Possible Overkill?","created":"2022-09-09","cited_by_count":6,"area":null},{"id":"2309.17089","title":"Too Big, so Fail? -- Enabling Neural Construction Methods to Solve Large-Scale Routing Problems","created":"2023-09-29","cited_by_count":6,"area":null},{"id":"2403.17159","title":"Less Is More -- On the Importance of Sparsification for Transformers and Graph Neural Networks for TSP","created":"2024-03-25","cited_by_count":6,"area":null},{"id":"2308.11905","title":"On Using Admissible Bounds for Learning Forward Search Heuristics","created":"2023-08-23","cited_by_count":5,"area":null},{"id":"2310.04140","title":"Routing Arena: A Benchmark Suite for Neural Routing Solvers","created":"2023-10-06","cited_by_count":5,"area":null},{"id":"2501.05735","title":"ELENA: Epigenetic Learning through Evolved Neural Adaptation","created":"2025-01-10","cited_by_count":5,"area":null},{"id":"2506.16428","title":"EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems","created":"2025-06-19","cited_by_count":5,"area":null},{"id":"2507.01037","title":"Learning to Segment for Vehicle Routing Problems","created":"2025-06-22","cited_by_count":5,"area":null},{"id":"2308.04639","title":"A Hierarchical Destroy and Repair Approach for Solving Very Large-Scale Travelling Salesman Problem","created":"2023-08-09","cited_by_count":4,"area":null},{"id":"2310.11787","title":"NeuroCUT: A Neural Approach for Robust Graph Partitioning","created":"2023-10-18","cited_by_count":4,"area":null},{"id":"2405.00285","title":"iMTSP: Solving Min-Max Multiple Traveling Salesman Problem with Imperative Learning","created":"2024-05-01","cited_by_count":4,"area":null},{"id":"2602.21761","title":"Survey on Neural Routing Solvers","created":"2026-02-25","cited_by_count":4,"area":null},{"id":"2201.10453","title":"The First AI4TSP Competition: Learning to Solve Stochastic Routing Problems","created":"2022-01-25","cited_by_count":3,"area":null},{"id":"2310.12387","title":"Learning to Optimise Climate Sensor Placement using a Transformer","created":"2023-10-18","cited_by_count":3,"area":null},{"id":"2312.14836","title":"Learning Lagrangian Multipliers for the Travelling Salesman Problem","created":"2023-12-22","cited_by_count":3,"area":null},{"id":"2403.03585","title":"RouteExplainer: An Explanation Framework for Vehicle Routing Problem","created":"2024-03-06","cited_by_count":3,"area":null},{"id":"2405.11198","title":"Adaptive Stabilization Based on Machine Learning for Column Generation","created":"2024-05-18","cited_by_count":3,"area":null},{"id":"2510.11121","title":"Refining Hybrid Genetic Search for CVRP via Reinforcement Learning-Finetuned LLM","created":"2025-10-13","cited_by_count":3,"area":null},{"id":"2206.02771","title":"Neuro CROSS exchange: Learning to CROSS exchange to solve realistic vehicle routing problems","created":"2022-06-06","cited_by_count":2,"area":null},{"id":"2310.06543","title":"An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems","created":"2023-10-10","cited_by_count":2,"area":null},{"id":"2502.12484","title":"LocalEscaper: A Weakly-supervised Framework with Regional Reconstruction for Scalable Neural TSP Solvers","created":"2025-02-18","cited_by_count":2,"area":null},{"id":"2503.12662","title":"TuneNSearch: a hybrid transfer learning and local search approach for solving vehicle routing problems","created":"2025-03-16","cited_by_count":2,"area":null},{"id":"2508.11679","title":"Lifelong Learner: Discovering Versatile Neural Solvers for Vehicle Routing Problems","created":"2025-08-08","cited_by_count":2,"area":null},{"id":"2603.01667","title":"Chain-of-Context Learning: Dynamic Constraint Understanding for Multi-Task VRPs","created":"2026-03-02","cited_by_count":2,"area":null},{"id":"2403.20212","title":"On Size and Hardness Generalization in Unsupervised Learning for the Travelling Salesman Problem","created":"2024-03-29","cited_by_count":1,"area":null},{"id":"2404.11458","title":"Learn to Tour: Operator Design For Solution Feasibility Mapping in Pickup-and-delivery Traveling Salesman Problem","created":"2024-04-17","cited_by_count":1,"area":null},{"id":"2505.15862","title":"Bandit based Dynamic Candidate Edge Selection in Solving Traveling Salesman Problems","created":"2025-05-21","cited_by_count":1,"area":null},{"id":"2506.12932","title":"Complexity Scaling Laws for Neural Models using Combinatorial Optimization","created":"2025-06-15","cited_by_count":1,"area":null},{"id":"2508.01774","title":"VAGPO: Vision-augmented Asymmetric Group Preference Optimization for Graph Routing Problems","created":"2025-08-03","cited_by_count":1,"area":null},{"id":"2509.05084","title":"Recurrent State Encoders for Efficient Neural Combinatorial Optimization","created":"2025-09-05","cited_by_count":1,"area":null},{"id":"2509.06640","title":"Knowledge-Guided Machine Learning for Stabilizing Near-Shortest Path Routing","created":"2025-09-08","cited_by_count":1,"area":null},{"id":"2603.00430","title":"Efficient Decoder Scaling Strategy for Neural Routing Solvers","created":"2026-02-28","cited_by_count":1,"area":null},{"id":"2209.13077","title":"Accelerating the Genetic Algorithm for Large-scale Traveling Salesman Problems by Cooperative Coevolutionary Pointer Network with Reinforcement Learning","created":"2022-09-27","cited_by_count":0,"area":null},{"id":"2308.09829","title":"Learning from A Single Graph is All You Need for Near-Shortest Path Routing in Wireless Networks","created":"2023-08-18","cited_by_count":0,"area":null},{"id":"2408.08484","title":"An Unsupervised Learning Framework Combined with Heuristics for the Maximum Minimal Cut Problem","created":"2024-08-16","cited_by_count":0,"area":null},{"id":"2506.00533","title":"RsGCN: Subgraph-Based Rescaling Enhances Generalization of GCNs for Solving Traveling Salesman Problems","created":"2025-05-31","cited_by_count":0,"area":null},{"id":"2508.02510","title":"On Distributional Dependent Performance of Classical and Neural Routing Solvers","created":"2025-08-04","cited_by_count":0,"area":null},{"id":"2508.06129","title":"Study of Robust Features in Formulating Guidance for Heuristic Algorithms for Solving the Vehicle Routing Problem","created":"2025-08-08","cited_by_count":0,"area":null},{"id":"2508.08659","title":"Hybrid Node-Destroyer Model with Large Neighborhood Search for Solving the Capacitated Vehicle Routing Problem","created":"2025-08-12","cited_by_count":0,"area":null},{"id":"2508.14071","title":"Edge-Selector Model Applied for Local Search Neighborhood for Solving Vehicle Routing Problems","created":"2025-08-12","cited_by_count":0,"area":null},{"id":"2603.06260","title":"Learning to Solve Orienteering Problem with Time Windows and Variable Profits","created":"2026-03-06","cited_by_count":0,"area":null},{"id":"2604.20236","title":"Machine Learning-based Two-Stage Graph Sparsification for the Travelling Salesman Problem","created":"2026-04-22","cited_by_count":0,"area":null},{"id":"2605.06332","title":"LINC: Decoupling Local Consequence Scoring from Hidden Matching in Constructive Neural Routing","created":"2026-05-07","cited_by_count":0,"area":null},{"id":"2606.04039","title":"Beyond Static Priors: Dynamic Neural Guidance for Large-Scale Ant Colony Optimization","created":"2026-06-02","cited_by_count":0,"area":null},{"id":"2606.19185","title":"AGDN: Learning to Solve Traveling Salesman Problem with Anisotropic Graph Diffusion Network","created":"2026-06-17","cited_by_count":0,"area":null},{"id":"2607.09708","title":"GES-TSP: Graph Edge Sparsification for TSP","created":"2026-06-23","cited_by_count":0,"area":null},{"id":"2607.12127","title":"Connected by Construction: Learning Tractable Near-Tour Marginals for Traveling Salesman Problems","created":"2026-07-13","cited_by_count":0,"area":null},{"id":"2607.17708","title":"LaT: LLM-as-Trainer for Multi-Task Vehicle Routing Solvers","created":"2026-07-20","cited_by_count":0,"area":null},{"id":"2608.16435","title":"Drive, Pack, Fly: The Travelling Thief Problem with Drone","created":"2026-08-17","cited_by_count":0,"area":null},{"id":"2608.24859","title":"Improving Cross-Problem Vehicle Routing with Locally Augmented Preferences and Representation Disentanglement","created":"2026-08-25","cited_by_count":0,"area":null},{"id":"2609.20352","title":"COMPASS: Ordered Clustered Routing at 100K Scale","created":"2026-09-17","cited_by_count":0,"area":null},{"id":"2609.26275","title":"JAMPR+/L2D: scalable neural heuristic for constrained vehicle routing problems in dynamic environment","created":"2026-08-14","cited_by_count":0,"area":null},{"id":"2609.35443","title":"Just Initialize: A Training-Free Initialization Component for Large-Scale Routing Optimization","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}