neural combinatorial optimization

Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation AAAI 2026 Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems ICLR 2025 BOPO: Neural Combinatorial Optimization via Best-anchored and Objective-guided Preference Optimization ICML 2025 Destroy and Repair Using Hyper-Graphs for Routing AAAI 2025 Efficient and Robust Neural Combinatorial Optimization via Wasserstein-Based Coresets ICLR 2025 Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems AAAI 2025 PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization ICLR 2025 EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization AAAI 2024 Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret AAAI 2024 MARCO: A Memory-Augmented Reinforcement Framework for Combinatorial Optimization IJCAI 2024 Prompt Learning for Generalized Vehicle Routing IJCAI 2024 UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems NeurIPS 2024 Combinatorial Optimization and Reasoning with Graph Neural Networks JMLR 2023 DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization NeurIPS 2023 H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem AAAI 2023 Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt NeurIPS 2023 Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization NeurIPS 2023 Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization NeurIPS 2022 Matrix encoding networks for neural combinatorial optimization NeurIPS 2021 Causal Discovery with Reinforcement Learning ICLR 2020 POMO: Policy Optimization with Multiple Optima for Reinforcement Learning NeurIPS 2020