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attention-learn-to-route

Attention based model for learning to solve different routing problems

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

deepaco

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

dpr

Dynamic Partial Removal: a Neural Network Heuristic for Large Neighborhood Search on Combinatorial Optimization Problems, by applying deep learning (hierarchical recurrent graph convolutional network) and reinforcement learning (PPO)

gfacs

Official repository for GFACS

glop

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

hcvrp_drl

This repo implements our paper, "Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem"

keras-rl

Deep Reinforcement Learning for Keras.

learning-tsp

Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)

llm-as-hh

Large Language Models as Hyper-Heuristics for Combinatorial Optimization (CO)

nco-solvers-for-vrp

platemo

Evolutionary multi-objective optimization platform

ppo-bihyb

Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".

pyvrp

Open-source, state-of-the-art vehicle routing problem solver in an easy-to-use Python package.