Alternatives and similar repositories for NCO_code:

Users that are interested in NCO_code are comparing it to the libraries listed below

• henry-yeh / GLOP
  [AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
  ☆82Updated 2 months ago
• RoyalSkye / Omni-VRP
  [ICML 2023] "Towards Omni-generalizable Neural Methods for Vehicle Routing Problems"
  ☆50Updated last year
• jieyibi / AMDKD
  The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at…
  ☆52Updated 10 months ago
• Xi-L / PMOCO
  Code for ICLR2022 Paper: Pareto Set Learning for Neural Multi-objective Combinatorial Optimization
  ☆61Updated 2 years ago
• Bill-CJB / NHDE
  ☆21Updated last year
• naver / bq-nco
  ☆39Updated last year
• ai4co / routefinder
  [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems
  ☆65Updated 2 weeks ago
• liangxinedu / MDAM
  ☆51Updated 3 years ago
• yimengmin / UTSP
  code repo for paper Unsupervised Learning for Solving the Travelling Salesman Problem
  ☆51Updated 11 months ago
• jieyibi / PIP-constraint
  [NeurIPS 2024] Learning to Handle Complex Constraints for Vehicle Routing Problems
  ☆25Updated 2 weeks ago
• wuuu110 / NCO-solvers-for-VRP
  ☆55Updated 2 weeks ago
• gaocrr / ELG
  Official implementation of IJCAI'24 paper "Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferra…
  ☆21Updated 11 months ago
• yining043 / VRP-DACT
  This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has be…
  ☆98Updated 10 months ago
• henry-yeh / DeepACO
  [NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
  ☆154Updated 6 months ago
• cpwan / RLOR
  Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
  ☆99Updated 2 years ago
• yining043 / PDP-N2S
  This repo implements our paper, "Efficient Neural Neighborhood Search for Pickup and Delivery Problems", which has been accepted as short…
  ☆57Updated 2 years ago
• Pointerformer / Pointerformer
  Deep Reinforced Multi-Pointer Transformer forthe Traveling Salesman Problem
  ☆36Updated 3 years ago
• ahottung / EAS
  Efficient Active Search
  ☆49Updated 3 years ago
• yd-kwon / POMO
  codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"
  ☆186Updated 2 years ago
• yining043 / NeuOpt
  This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", whic…
  ☆46Updated 8 months ago
• RoyalSkye / Routing-MVMoE
  [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"
  ☆67Updated 8 months ago
• jingwenli0312 / Feature-Embedding-Refiner
  ☆15Updated last year
• xybFight / NAR4TSP
  PyTorch code for the NAR4TSP.
  ☆20Updated 5 months ago
• dongjinkun / COPZoo
  Neural Network for solving challenging Combinatorial Optimization Problems
  ☆50Updated last week
• Spider-scnu / TSP
  ☆131Updated 2 years ago
• jiang-yuan / Learning-routing-DRO
  ☆20Updated 3 years ago
• paulorocosta / learning-2opt-drl
  Learning 2-opt Heuristics for the TSP via Deep Reinforcement Learning
  ☆51Updated 4 years ago
• Kasumigaoka-Utaha / INViT
  Official Implementation of the paper: INViT: A Generalizable Routing Problem Solver with Invariant Nested View Transformer
  ☆18Updated 9 months ago
• Learning4Optimization-HUST / H-TSP
  Official implementation of H-TSP (AAAI2023)
  ☆47Updated 3 weeks ago
• zcaicaros / L2S
  Official implementation of paper "Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling"
  ☆47Updated last month