xybFight / NAR4TSP
PyTorch code for the NAR4TSP.
☆17Updated 3 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for NAR4TSP
- PARCO: Parallel AutoRegressive Combinatorial Optimization☆17Updated last month
- Official implementation of IJCAI'24 paper "Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferra…☆21Updated 6 months ago
- ☆34Updated this week
- Implementation code for NeurIPS 2024 paper: "Learning to Handle Complex Constraints for Vehicle Routing Problems"☆15Updated this week
- PyTorch code for the GNARKD.☆21Updated 7 months ago
- Official implementation of paper "Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Sc…☆13Updated 4 months ago
- ☆25Updated 9 months ago
- Detian Kong, Yining Ma, Zhiguang Cao, Tianshu Yu and Jianhua Xiao, "Efficient Neural Collaborative Search for Pickup and Delivery Problem…☆10Updated 2 months ago
- Official repository for GFACS☆24Updated 6 months ago
- This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", whic…☆38Updated 3 months ago
- ☆20Updated last year
- Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improveme…☆17Updated 2 weeks ago
- Neural Network for solving challenging Combinatorial Optimization Problems☆33Updated this week
- ☆24Updated last year
- [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"☆41Updated last year
- [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems☆52Updated last month
- ☆34Updated last year
- [AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time☆73Updated last week
- L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China☆59Updated last month
- code repo for paper Unsupervised Learning for Solving the Travelling Salesman Problem☆39Updated 6 months ago
- [ICML 2023] Meta-SAGE: Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Mitigating Scale Shift on Combinatorial Optim…☆10Updated 11 months ago
- The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at…☆49Updated 5 months ago
- ☆39Updated 5 months ago
- [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems☆24Updated 3 months ago
- [NeurIPS 2024] "Collaboration! Towards Robust Neural Methods for Routing Problems"☆15Updated this week
- ☆21Updated last year
- multi-task learning for routing problem☆13Updated 3 weeks ago
- ☆19Updated 2 years ago
- Self-Labeling the Job Shop Scheduling Problem☆9Updated 4 months ago
- The official implementation of "RouteExplainer: An Explanation Framework for Vehicle Routing Problem" (PAKDD 2024, oral)☆11Updated 7 months ago