A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization
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Oct 17, 2022 - Python
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A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization
deep-reinforcement-learning sdn routing-optimization traffic-engineering knowledge-defined-networking software-defined-networking
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.
open-source scheduling leaflet postgresql dispatch telecom field-service-management routing-optimization field-service workforce-management job-scheduling technician-management dispatch-console
Solving the NP-hard Multiple Depot Vehicle Routing Problem with a Genetic Algorithm
algorithm optimization genetic-algorithm evolutionary-algorithms vrp optimization-algorithms mdvrp routing-optimization
[TMLR 2024] Official implementation for "Learning Sub-Second Routing Optimization in Computer Networks requires Packet-Level Dynamics"
benchmark reinforcement-learning ns3 computer-network routing-optimization graph-neural-network tmlr-2024
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.
python ai routing openai routing-engine routing-algorithm inference-engine routing-controllers routing-optimization routing-algorithms llm
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.
algorithms np-hard dynamic-programming heuristics logistics tsp knapsack-problem branch-and-bound routing-optimization
Routing optimization solution for the Knoxville Ale Trail
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.
reinforcement-learning optimal-path sota routing-optimization q-learning-algorithm tabular-reinforcement-learning stochastic-graph
Genetik Algoritma ve Karınca Kolonisi Optimizasyonu kullanılarak ağ yönlendirme ve rota optimizasyonu uygulaması.
python flask genetic-algorithm networkx ant-colony-optimization computer-networks routing-optimization
[TMLR 2026] Website for "Towards Near-Real-Time Telemetry-Aware Routing with Neural Routing Algorithms"
benchmark reinforcement-learning ns3 computer-network routing-optimization graph-neural-network tmlr-2026
[TMLR 2024] Website for "Learning Sub-Second Routing Optimization in Computer Networks requires Packet-Level Dynamics"
benchmark reinforcement-learning ns3 computer-network routing-optimization graph-neural-network tmlr-2024
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.
python graph-theory dijkstra routing-optimization traveling-salesman-problem metaheuristic-optimisation
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".
benchmark reinforcement-learning ai ns3 computer-network routing-optimization graph-neural-network tmlr-2026
Medical Transport Web Application - Capstone Project
react django material-ui django-rest-framework postgresql vscode healthcare google-maps-api ortools routing-optimization
Trabalhos de Otimização e Meta-Heurísticas PPGI-UFES.
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.
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