"Attention, Learn to Solve Routing Problems!"[Kool+, 2019], Capacitated Vehicle Routing Problem solver

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

Python package to read and write vehicle routing problem instances.

A Python wrapper for the Hybrid Genetic Search algorithm for Capacitated Vehicle Routing Problems (HGS-CVRP)

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

Code repository for the corresponding paper "Learning to Control Local Search for Combinatorial Optimization"

A Julia wrapper for the Hybrid Genetic Search algorithm for Capacitated Vehicle Routing Problems (HGS-CVRP)

A Branch-and-Cut based Pricer for the Capacitated Vehicle Routing Problem

Simple streamlit app to demonstrate HERE Tour Planning

My Edinburgh Napier University Honours Project: investigating the multi-objective Capacitated Vehicle Routing Problem with Time Windows (CVRPTW).

Feasibility Intensive Genetic Algorithm (FIGA) for the Capacitated Vehicle Routing Problem with Time Windows (CVRPTW)

An implementation of the Ant Colony optimization algorithm (ACO) for the capacitated vehicle routing problem (CVRP) for bike sharing rebalancing

Capacitated Vehicle Routing Problem data from CVRPLIB (http://vrp.atd-lab.inf.puc-rio.br/index.php/en/) with daily updates

Optimizing vehicle routing for efficient delivery of goods to various customer locations while minimizing costs. This project implements algorithms to solve the Capacitated Vehicle Routing Problem (CVRP) using Python and frameworks like Google OR-Tools and the nearest neighbor heuristic, with the latter being used for comparison purposes.

Using Vehicle Routing Problems to model regional library delivery route structures

Neural Capacitated Clustering

This repo contains the backend code of the web application for route delivery built as part of our capstone. UNO Fall 2021.

A project for Fundamental of Optimization class at HUST, Winter 2022

Python Gurobi based project about a Vehicle Routing Problem with time windows and synchronized visits.

This python project is a research oriented projected that tries to solve the capacitated vehicle routing problem instances using the genetic algorithm and machine learning.