routing-optimization

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.

Open-source dispatch console for field service teams. Assigns, routes and tracks a day's jobs, and the whole app runs inside Postgres.

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"

The self-learning AI router that picks the best model, provider, and reasoning level for every request - beating OpenRouter Auto, LLMRouter, and Semantic Router, and matching RouteLLM accuracy at 65.1% lower measured cost in benchmarks.

Real-time routing optimization engine that solves delivery planning problems using a custom genetic algorithm to efficiently approximate TSP solutions under dynamic constraints.

Algorithmic solution for an autonomous delivery system routing problem using Branch & Bound, Dynamic Programming, and real-time heuristics.

[TMLR 2026] Website for "Towards Near-Real-Time Telemetry-Aware Routing with Neural Routing Algorithms"

This repository contains a Reinforcement Learning framework for reliable routing in stochastic graphs, utilizing Q-Learning and advanced graph pruning techniques (Arc-Flags, Reach) to optimize SOTA (Stochastic On-Time Arrival) pathfinding under time-budget constraints.

Routing optimization solution for the Knoxville Ale Trail

Genetik Algoritma ve Karınca Kolonisi Optimizasyonu kullanılarak ağ yönlendirme ve rota optimizasyonu uygulaması.

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

Solving constrained logistics TSP on road networks via Ant Colony Optimization (ACO, Dynamic ACO) hybridized with Dijkstra pathfinding. Résolution et optimisation du problème du voyageur de commerce (TSP) sous contraintes routières par colonies de fourmis (ACO) et hybridation Dijkstra.

Cloud traffic engineering: ingress/egress routing, path selection, BGP traffic shaping, and network performance optimization

[TMLR 2026] Official implementation for "Towards Near-Real-Time Telemetry-Aware Routing with Neural Routing Algorithms".

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

Medical Transport Web Application - Capstone Project

This repository contains an optimized framework for solving the Stochastic On-Time Arrival (SOTA) problem by integrating Successive Approximations and Single Iteration solvers with deterministic Reach and Arc-flags pruning techniques to accelerate reliability-based routing in large-scale networks.

Trabalhos de Otimização e Meta-Heurísticas PPGI-UFES.