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Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

Python 311 67 Updated Feb 10, 2022
Python 2 1 Updated May 21, 2024

Code for Genetic Algorithms with Neural Cost Predictor (https://arxiv.org/pdf/2310.14157.pdf)

Python 6 2 Updated Jul 22, 2024

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

Python 8 1 Updated Mar 25, 2024

Python package to read and write vehicle routing problem instances.

Python 94 8 Updated Oct 14, 2024

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

Python 343 53 Updated Dec 17, 2024
Python 13 2 Updated Feb 20, 2024

https://hml.boyuai.com

Jupyter Notebook 362 95 Updated Jul 7, 2023

A Python library for addressing the supply chain inventory management problem using deep reinforcement learning algorithms.

Jupyter Notebook 78 21 Updated Jan 16, 2024

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

Python 4 Updated Jul 28, 2023

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

Jupyter Notebook 1 1 Updated Nov 14, 2023
Shell 2 5 Updated Nov 27, 2023

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

Python 179 18 Updated May 9, 2023

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

Jupyter Notebook 117 19 Updated Sep 4, 2023

Personal experiments on Reinforcement Learning

Jupyter Notebook 109 51 Updated Apr 29, 2021

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

C++ 1 Updated Jan 18, 2023

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

Python 309 89 Updated Sep 12, 2023

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

Python 76 32 Updated Mar 24, 2023

Awesome machine learning for combinatorial optimization papers.

Python 1,738 204 Updated Sep 5, 2024

An implementation of GCN-NPEC for VRP

Python 34 3 Updated Jul 14, 2021

PyTorch tutorials.

Jupyter Notebook 8,298 4,084 Updated Dec 19, 2024

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

Python 42 4 Updated Nov 10, 2021

Data-driven APIs for common optimization tasks

Python 153 33 Updated Nov 27, 2024

https://hrl.boyuai.com/

Jupyter Notebook 2,691 569 Updated Nov 22, 2022

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

Python 315 146 Updated Feb 2, 2019

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…

Python 670 109 Updated Jan 16, 2021

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

Rust 28 1 Updated Oct 15, 2022
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