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ada-stnet

adm-vrp

Dynamic Attention Model for Vehicle Routing Problem (arXiv:2002.03282)

alns

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

astgcn

⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch

asttn_pytorch

attention-learn-to-route

Attention based model for learning to solve different routing problems

datastructs_and_algorithm

Data struct and algorithm introduction and implementation in C/C++/Java.

e-vrptw

CPLEX code of the E-VRPTW

electric_vehicle_routing_problem_with_time_windows

Electric-Vehicle Routing Problem with Time Windows (EVRPTW) for the optimization in transports and logistics coure summer term 2018 at the technical university of vienna

euro-meets-neurips-2022

euro-neurips-2022

OptiML's contribution to the EURO meets NeurIPS 2022 vehicle routing competition.

euro-neurips-vrp-2022-quickstart

Quickstart for EURO Meets NeurIPS 2022 Vehicle Routing Competition

ffevss

gcn-npec

PyTorch implementation of GCN-NPEC in "Efficiently Solving the Practical Vehicle Routing Problem: A Novel Joint Learning Approach"

hcvrp_drl

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

heterogeneous-attentions-pdp-drl

jampr

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

jampr_plus

Large Neighborhood Search based on Neural Construction Heuristics

jd-logistics-scheduling-goc

Solution for JD-GOC Logistics Scheduling Problem. (排名-初赛: 64, 复赛: 38). JD GOC 城市物流调度比赛的解题源代码+结果检测程序.

l2i

learning-to-delegate

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

mdam

ml-alns

Implementation of Random Forest models into ALNS algorithm for reaching bettere performance

neulns

Neural Large Neighborhood Search: Learn to Design Heuristics for Vehicle Routing Problem (VRP), by Deep Learning and Reinforcement Learning.

neural-rewriter

Learning to Perform Local Rewriting for Combinatorial Optimization

pomo

codes for the paper "POMO: Policy Optimization with Multiple Optima for Reinforcement Learning"

pytorch-drl4vrp

Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arXiv:1802.04240 (2018).

reader

阅读3服务器版，桌面端，iOS可用。后端 Kotlin + Spring Boot + Vert.x + Coroutine ；前端 Vue.js + Element。麻烦点点star，关注一下公众号【假装大佬】❗️

stgat_traffic_prediction

This repository provides an open source implementation of the Spatio-Temporal GAT introduced by Zhang et al in "Spatial-Temporal Graph Attention Networks:A Deep Learning Approach for Traffic Forecasting" https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8903252

stid

Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.