Learning4Optimization-HUST / H-TSP
Official implementation of H-TSP (AAAI2023)
☆42Updated 7 months ago
Alternatives and similar repositories for H-TSP:
Users that are interested in H-TSP are comparing it to the libraries listed below
- Efficient Active Search☆48Updated 2 years ago
- This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has be…☆95Updated 7 months ago
- [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"☆46Updated last year
- This repo implements our paper, "Efficient Neural Neighborhood Search for Pickup and Delivery Problems", which has been accepted as short…☆55Updated 2 years ago
- ☆51Updated 2 years ago
- Reinforcement learning for operation research problems with OpenAI Gym and CleanRL☆92Updated last year
- ☆47Updated this week
- ☆124Updated 2 years ago
- [AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time☆80Updated this week
- ☆50Updated 3 years ago
- ☆71Updated 2 years ago
- Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning☆46Updated 4 years ago
- Deep Reinforced Multi-Pointer Transformer forthe Traveling Salesman Problem☆31Updated 2 years ago
- L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China☆68Updated last week
- Code for ICLR2022 Paper: Pareto Set Learning for Neural Multi-objective Combinatorial Optimization☆59Updated 2 years ago
- ☆19Updated 2 years ago
- ☆35Updated last year
- Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improveme…☆21Updated 2 months ago
- [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems☆60Updated 3 months ago
- The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at…☆51Updated 8 months ago
- codes for the paper "Matrix Encoding Networks for Neural Combinatorial Optimization"☆65Updated 3 years ago
- Neural Network for solving challenging Combinatorial Optimization Problems☆45Updated 3 weeks ago
- codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"☆170Updated 2 years ago
- PyTorch code for the NAR4TSP.☆19Updated 3 months ago
- This repo implements our paper, "Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem"☆136Updated 2 years ago
- Code accompanying the paper Graph Neural Network Guided Local Search for the Traveling Salesperson Problem☆25Updated last year
- Detian Kong, Yining Ma, Zhiguang Cao, Tianshu Yu and Jianhua Xiao, "Efficient Neural Collaborative Search for Pickup and Delivery Problem…☆10Updated 5 months ago
- ☆104Updated 4 years ago
- code repo for paper Unsupervised Learning for Solving the Travelling Salesman Problem☆47Updated 8 months ago
- This is the implementation of my paper "Memory-Efficient Transformer-based Network Model for Traveling Salesman Problem"☆24Updated 2 years ago