wangqianlongucas

ML4VRP2024

Machine Learning for Evolutionary Computation - for Vehicle Routing Problems (ML4VRP) competition resources at GECCO 2024.

VRPLIB

Python package to read and write vehicle routing problem instances.

PyVRP

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

neuralsep

Hands-on-ML

https://hml.boyuai.com

SCIMAI-Gym

A Python library for addressing the Supply Chain Inventory Management problem through Deep Reinforcement Learning algorithms.

RL_IIM

This is a repository for paper "Intelligent inventory management approaches for perishable pharmaceutical products in a healthcare supply chain".

CGLP-via-ML

The codes for the machine learning algorithms to solve cut-generating linear programs

2023.0103

elkai

elkai is a Python library for solving travelling salesman problems (TSP) based on LKH 3

NN-Estimators-For-Optimal-TSP-Tour-Lengths

OptiCL

An end-to-end framework for mixed-integer optimization with data-driven learned constraints.

reinforcement-learning

Personal experiments on Reinforcement Learning

PDTSP

Code and data from the paper "Exponential-size neighborhoods for the pickup-and-delivery traveling salesman problem", authored by T. Pacheco, R. Martinelli, A. Subramanian, T. Toffolo, and T. Vidal

xingtian

xingtian is a componentized library for the development and verification of reinforcement learning algorithms

DeepBeerInventory-RL

The code for the SRDQN algorithm to train an agent for the beer game problem

awesome-ml4co

Awesome machine learning for combinatorial optimization papers.

VRP-GCN-NPEC

An implementation of GCN-NPEC for VRP

tutorials

PyTorch tutorials.

branch-and-price-gurobi

Repository contains implementation of Branch and Prive for classical General Assignment Problem problem using Python and Gurobi solver.

gurobi-optimods

Data-driven APIs for common optimization tasks

Hands-on-RL

https://hrl.boyuai.com/

stochastic-optimization

Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.

reinforcement-learning-algorithms

This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)

Telescope_Array_Observation_Scheduler

hybridcvrp

HybridCVRP: A Hybrid Metaheuristic Solver for the Capacitated Vehicle Routing Problem

vrpy

A python framework for solving the VRP and its variants with column generation.

VRPTW-Column-Generation

A solution to the VRPTW problem using the Column Generation algorithm. Implementation with Python using the Gurobi optimizer (license needed)

location-routing

A state-of-the-art exact Branch-Cut-and-Price algorithm for the Capacitated Location-Routing Problem and related problems

amazon-sagemaker-amazon-routing-challenge-sol

AWS Last Mile Route Sequence Optimization