Showing 1–20 of 46 results
/ Date/ Name
Dec 12, 2019Learning Improvement Heuristics for Solving Routing ProblemsNov 1, 2021Learning Large Neighborhood Search Policy for Integer ProgrammingFeb 27, 2023Learning Large Neighborhood Search for Vehicle Routing in Airport Ground HandlingFeb 25, 2026Mamba Meets Scheduling: Learning to Solve Flexible Job Shop Scheduling with Efficient Sequence ModelingSep 21, 2025Large Language Models as End-to-end Combinatorial Optimization SolversOct 7, 2024Collaboration! Towards Robust Neural Methods for Routing ProblemsApr 17, 2024Cross-Problem Learning for Solving Vehicle Routing ProblemsMay 31, 2023Towards Omni-generalizable Neural Methods for Vehicle Routing ProblemsNov 20, 2022Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop SchedulingAug 22, 2024Bridging Large Language Models and Optimization: A Unified Framework for Text-attributed Combinatorial OptimizationMay 27, 2025Generalizable Heuristic Generation Through LLMs with Meta-OptimizationOct 28, 2024Learning to Handle Complex Constraints for Vehicle Routing ProblemsJun 20, 2024Graph Neural Networks for Job Shop Scheduling Problems: A SurveyOct 22, 2023Neural Multi-Objective Combinatorial Optimization with Diversity EnhancementMar 12, 2026LLMs for Human Mobility: Opportunities, Challenges, and Future DirectionsFeb 2, 2026Reasoning in a Combinatorial and Constrained World: Benchmarking LLMs on Natural-Language Combinatorial OptimizationMar 4, 2023Neural Airport Ground HandlingMay 2, 2024MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-ExpertsFeb 27, 2024Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling ProblemApr 3, 2025Reinforcement Learning for Solving the Pricing Problem in Column Generation: Applications to Vehicle Routing