neural-combinatorial-optimization

There are 26 repositories under neural-combinatorial-optimization topic.

  • pemami4911/neural-combinatorial-rl-pytorch

    PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

    Language:Python5691917141

  • ai4co/rl4co

    A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)

    Language:Python48599286

  • ai4co/awesome-fm4co

    Recent research papers about Foundation Models for Combinatorial Optimization

    1947015

  • kevin031060/RL_TSP_4static

    Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper

    Language:Python1453141

  • ai4co/reevo

    [NeurIPS 2024] ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution

    Language:Python1445828

  • henry-yeh/DeepACO

    [NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization

    Language:Jupyter Notebook1424321

  • yining043/VRP-DACT

    This repo implements our paper, "Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer", which has been accepted at NeurIPS 2021.

    Language:Jupyter Notebook9521122

  • henry-yeh/GLOP

    [AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time

    Language:Python802211

  • CIAM-Group/NCO_code

    L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China

    Language:Python680216

  • ai4co/routefinder

    [ICML'24 FM-Wild Oral] RouteFinder: Towards Foundation Models for Vehicle Routing Problems

    Language:Python58237

  • RoyalSkye/Routing-MVMoE

    [ICML 2024] "MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts"

    Language:Python56336

  • yining043/PDP-N2S

    This repo implements our paper, "Efficient Neural Neighborhood Search for Pickup and Delivery Problems", which has been accepted as short oral at IJCAI 2022.

    Language:Python543016

  • jieyibi/AMDKD

    The implementation code of our paper "Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation", accepted at NeurIPS2022.

    Language:Python511510

  • yining043/NeuOpt

    This repo implements our paper, "Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt", which has been accepted at NeurIPS 2023.

    Language:Jupyter Notebook39113

  • ai4co/eph-mapf

    [IROS 2024] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding

    Language:Python32206

  • Bill-CJB/NHDE

    Language:Python21102

  • gaocrr/ELG

    Official implementation of IJCAI'24 paper "Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy"

    Language:Python21116

  • ai4co/devformer

    [ICML 2023] Official code for "DevFormer: A Symmetric Transformer for Context-Aware Device Placement"

    Language:Python19210

  • ai4co/parco

    PARCO: Parallel AutoRegressive Combinatorial Optimization

    Language:Python18200

  • Bill-CJB/EMNH

    Language:Python17101

  • ai4co/camp

    [AAMAS 2025] CAMP: Collaborative Attention Model with Profiles for Vehicle Routing Problems

    16

  • omargup/neural_combinatorial_optimization

    A peper list for machine learning models solving combinatorial problems, NP-hard problems and problems in graphs.

    14304

  • ai4co/unsupervised-CO-ucom2

    [ICML'24] Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More

    Language:Python13300

  • TheLeprechaun25/NCOLib

    The Neural Combinatorial Optimization Library (NCOLib) is an accessible software library designed to simplify the application of neural network models and deep learning algorithms to solve combinatorial optimization problems.

    Language:Python821

  • ebrahimpichka/QAP-RL

    Unofficial implemnetation of "Solving Quadratic Assignemt Problem using Deep Reinforcement Learning" (https://arxiv.org/abs/2310.01604)

    Language:Python6310

  • Shiqing-Liu/AJCAI2023-workshop

    AJCAI2023 workshop: Machine Learning for Data-driven Optimization

    Language:HTML0100