Nicole-l-j

cvrp

Capacitated Vehicle Routing Problem (CVRP) with multiple depots using OR-Tools and Google Maps API for real time optimal route

Dynamic-AM

A Deep Reinforcement Learning Algorithm Using Dynamic Attention Model for Vehicle Routing Problems

trucks-and-drones

Using reinforcement learning to solve the travelling salesman and vehicle routing problem with drones (or robots).

cvrp

A DSS web app for Capacitated Vehicle Routing Problem with Django, Docker, and nginx

Rewriting-By-Generating

code for paper: 'Rewriting by Generating: Learn Heuristics for Large-scale Vehicle Routing Problems'

insertion-heuristic-for-dynamic-vehicle-routing-problem-dvrp

JAMPR

Learning to Solve Vehicle Routing Problems with Time Windows through Joint Attention

euro-neurips-vrp-2022-quickstart

Quickstart for EURO Meets NeurIPS 2022 Vehicle Routing Competition

pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

learning-to-delegate

[NeurIPS 2021 Spotlight] Learning to Delegate for Large-scale Vehicle Routing

VRPLIB

Python package to read and write vehicle routing problem instances.

ALNS

this is a repository for ALNS

ALNS

Adaptive large neighbourhood search (and more!) in Python.

tsp_3opt_2opt

Travelling salesman problem with 3opt move and 2opt perturbation

Top-AI-Conferences-Paper-with-Code

Top-Conferences-Paper-with-Code (ACL、EMNLP、NAACL、COLING、AAAI、IJCAI、NeurIPS、ICLR and etc)

GATE

Official implementation of our work, GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction [AAAI 2021].

dynamic-gcn

Dynamic Graph Convolutional Networks with Attention Mechanism for Rumor Detection on Social Media (PLOS ONE 2021)

VRPTW

Vehicle routing problem solution with greedy +tabu search algo Python Impl

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.

Lin-Kernighan-TSP-local-search

An implementation of a local-search-based heuristic for the symmetric travelling salesman problem (TSP), using the Lin-Kernighan neighborhood.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

NeuroLKH

HCVRP_DRL

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

magat_pathplanning

tsp_solver

Solving tsp (travel sales problem) using ruin & recreate method.

ADMM_Python

Solomon benchmark instances

GTA-RL

Attention based model for learning to solve different routing problems

Alpha-T

Alpha-T source code

optw_rl

A Reinforcement Learning Approach to the Orienteering Problem with Time Windows

Hybrid-Pointer-Networks

Hybrid Pointer Networks for Traveling Salesman Problems Optimization