JHL-HUST / VSR-LKH-V2
Reinforced Lin-Kernighan-Helsgaun Algorithms for the Traveling Salesman Problem and its Variants
☆23Updated 7 months ago
Related projects: ⓘ
- [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"☆38Updated last year
- ☆66Updated 2 years ago
- This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", whic…☆36Updated last month
- code repo for paper Unsupervised Learning for Solving the Travelling Salesman Problem☆36Updated 4 months ago
- ☆38Updated 3 months ago
- Official implementation of H-TSP (AAAI2023)☆33Updated 3 months ago
- Efficient Active Search☆46Updated 2 years ago
- Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem☆41Updated 7 months ago
- ☆19Updated 2 years ago
- ☆18Updated 7 months ago
- ☆29Updated 10 months ago
- ☆17Updated last year
- This is the source code for solving the Traveling Salesman Problems (TSP) using Monte Carlo tree search (MCTS).☆28Updated 4 years ago
- This repository is a third-party implementation of Attention, Learn to Solve Routing Problems!.☆12Updated 4 years ago
- Deep Reinforced Multi-Pointer Transformer forthe Traveling Salesman Problem☆27Updated 2 years ago
- Official implementation of IJCAI'24 paper "Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferra…☆19Updated 4 months ago
- DPDP☆91Updated last year
- Official repository for GFACS☆21Updated 4 months ago
- ☆111Updated last year
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆93Updated last year
- The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at…☆46Updated 3 months ago
- This repo implements our paper, "Efficient Neural Neighborhood Search for Pickup and Delivery Problems", which has been accepted as short…☆52Updated last year
- ☆29Updated 2 years ago
- [AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time☆61Updated last month
- This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has be…☆89Updated 3 months ago
- ☆45Updated 3 years ago
- PyTorch code for the GNARKD.☆19Updated 5 months ago
- Code accompanying the paper Graph Neural Network Guided Local Search for the Traveling Salesperson Problem☆21Updated last year
- This is the implementation of my paper "Memory-Efficient Transformer-based Network Model for Traveling Salesman Problem"☆20Updated 2 years ago
- A super simple Python wrapper for the constrained traveling salesman and vehicle routing problem solver LKH-3.☆32Updated 7 months ago