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GitHub topics: neural-combinatorial-optimization

ai4co/awesome-fm4co

Recent research papers about Foundation Models for Combinatorial Optimization

Size: 172 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 305 - Forks: 20

RoyalSkye/Routing-MVMoE

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

Language: Python - Size: 379 MB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 70 - Forks: 6

Thinklab-SJTU/UniCO

[ICLR 2025] UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP

Language: Python - Size: 11.6 MB - Last synced at: 1 day ago - Pushed at: 4 months ago - Stars: 9 - Forks: 0

ai4co/rl4co

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

Language: Python - Size: 155 MB - Last synced at: 12 days ago - Pushed at: about 1 month ago - Stars: 586 - Forks: 102

ai4co/camp

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

Language: Python - Size: 4.1 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 20 - Forks: 1

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: Python - Size: 184 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 11 - Forks: 0

ai4co/real-routing-nco

Dataset & models of RRNCO: Real-world Routing NCO

Language: Python - Size: 6.99 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 14 - Forks: 2

ai4co/routefinder

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

Language: Python - Size: 409 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 67 - Forks: 11

ai4co/reevo

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

Language: Python - Size: 26.7 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 178 - Forks: 38

AJ-Correa/Unraveling-the-Rainbow

Unraveling the Rainbow: can value-based methods schedule?

Language: Java - Size: 194 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ai4co/parco

PARCO: Parallel AutoRegressive Combinatorial Optimization

Language: Python - Size: 14.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 20 - Forks: 0

pemami4911/neural-combinatorial-rl-pytorch

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

Language: Python - Size: 340 KB - Last synced at: 2 months ago - Pushed at: about 7 years ago - Stars: 573 - Forks: 142

grimmlab/step-and-reconsider Fork of grimmlab/gumbeldore

Variant of gumbeldore for the ECAI paper "Take a Step and Reconsider: Sequence Decoding for Self-Improved Neural Combinatorial Optimization"

Language: Python - Size: 355 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 8 - Forks: 0

grimmlab/gumbeldore

Official repository for the TMLR paper "Self-Improvement for Neural Combinatorial Optimization: Sample Without Replacement, but Improvement"

Language: Python - Size: 243 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 24 - Forks: 1

henry-yeh/DeepACO

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

Language: Jupyter Notebook - Size: 26.2 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 143 - Forks: 21

henry-yeh/GLOP

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

Language: Python - Size: 1.21 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 79 - Forks: 11

CIAM-Group/NCO_code

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

Language: Python - Size: 442 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 68 - Forks: 16

ai4co/devformer

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

Language: Python - Size: 42.9 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 19 - Forks: 0

ai4co/unsupervised-CO-ucom2

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

Language: Python - Size: 23.7 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 9 - Forks: 0

ai4co/eph-mapf

[IROS'24] EPH: Ensembling Prioritized Hybrid Policies for Multi-agent Pathfinding

Language: Python - Size: 26.3 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 11 - Forks: 6

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 Notebook - Size: 132 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 31 - Forks: 2

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 Notebook - Size: 96.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 81 - Forks: 21

jieyibi/AMDKD

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

Language: Python - Size: 174 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 40 - Forks: 8

gaocrr/ELG

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

Language: Python - Size: 108 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 13 - Forks: 5

ebrahimpichka/QAP-RL

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

Language: Python - Size: 26.4 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

Bill-CJB/NHDE

Language: Python - Size: 337 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Bill-CJB/EMNH

Language: Python - Size: 84.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Shiqing-Liu/AJCAI2023-workshop

AJCAI2023 workshop: Machine Learning for Data-driven Optimization

Language: HTML - Size: 748 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

omargup/neural_combinatorial_optimization

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

Size: 90.8 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 11 - Forks: 4

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: Python - Size: 78.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 22 - Forks: 10

kevin031060/RL_TSP_4static

Deep Reinforcement Learning for Multiobjective Optimization. Code for this paper

Language: Python - Size: 153 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 66 - Forks: 30

Related Keywords
neural-combinatorial-optimization 31 reinforcement-learning 14 combinatorial-optimization 14 vehicle-routing-problem 12 deep-reinforcement-learning 8 learning-to-optimize 5 rl4co 5 transformer 5 graph-neural-networks 4 ai4co 4 foundation-models 3 travelling-salesman-problem 3 operations-research 3 tsp 3 traveling-salesman-problem 2 scheduling 2 transformers 2 multi-agent-reinforcement-learning 2 multi-agent-systems 2 vrp 2 ml4co 2 pytorch 2 neural-multi-objective-combinatorial-optimization 2 electronic-design-automation 2 ant-colony-optimization 2 benchmark 2 self-improvement 2 capacitated-vehicle-routing-problem 2 bin-packing-problem 2 generalization 2 machine-learning 2 hardware-designs 1 multiobjective-optimization 1 nco 1 symmetric 1 multi-objective-optimization 1 machine-learning-for-combinatorial-optimization 1 computational-intelligence 1 prize-collecting-travelling-salesman-problem 1 non-autoregressive 1 hierarchical-reinforcement-learning 1 divide-and-conquer 1 autoregressive-neural-networks 1 scheduling-problem 1 drl 1 pickup-and-delivery 1 survey 1 paper 1 surrogate-models 1 graph-neural-network 1 data-driven-optimization 1 quadratic-assignment-problem 1 qap 1 knowledge-distillation 1 reward-shaping 1 k-opt 1 pathfinding 1 multi-agent-pathfinding 1 mapf 1 maximum-coverage 1 icml 1 facility-location 1 coloring 1 open-source-routing-machine 1 neural-networks 1 neural-improvement 1 neural-constructive 1 deep-learning 1 combinatorics 1 torchrl 1 tensordict 1 pytorch-lightning 1 hydra 1 cvrp 1 attention-model 1 attention 1 zero-shot-learning 1 mixture-of-experts 1 lists 1 awesome-list 1 awesome 1 routing-problem 1 neural-network 1 meta-heuristic 1 knapsack-problem 1 gumbeldore 1 seq2seq 1 vehicle-routing 1 rainbow 1 job-shop-scheduling-problem 1 flexible-job-shop-scheduling 1 orienteering-problem 1 multiple-knapsack-problem 1 llm-agent 1 large-language-models 1 hyper-heuristics 1 genetic-algorithm 1 evolutionary-algorithms 1 automatic-algorithm-generation 1