A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

This repository demonstrates how to solve the Vehicle Routing Problem (VRP) using OpenStreetMap data and OR-Tools library. The VRP is a classic optimization problem where a set of vehicles is tasked with visiting a set of locations while minimizing the total distance traveled.

A comprehensive Python implementation comparing multiple metaheuristic algorithms for solving the Vehicle Routing Problem with Time Windows (VRPTW). It provides a detailed comparison of four state-of-the-art optimization algorithms: Hybrid Genetic Search (HGS), Guided Local Search (GLS), Ant Colony Optimization (ACO), Simulated Annealing (SA)

Solving the NP-hard Multiple Depot Vehicle Routing Problem with a Genetic Algorithm

[TMLR 2024] Official implementation for "Learning Sub-Second Routing Optimization in Computer Networks requires Packet-Level Dynamics"

An open-source, web-based solution to job organization and field management.

Real-time routing service provider that allows users to solve Travelling Salesman Problems (TSP) using a custom Genetic Algorithm.

Trabalhos de Otimização e Meta-Heurísticas PPGI-UFES.

Routing optimization solution for the Knoxville Ale Trail

[TMLR 2024] Website for "Learning Sub-Second Routing Optimization in Computer Networks requires Packet-Level Dynamics"

Medical Transport Web Application - Capstone Project

Solving the Multiple Depot Vehicle Routing Problem (MDVRP) with a Genetic Algorithm