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.
An open-source, web-based solution to job organization and field management SaaS. Built for the field, by the field.
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"
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.
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
Solving the Multiple Depot Vehicle Routing Problem (MDVRP) with a Genetic Algorithm
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.
[TMLR 2024] Website for "Learning Sub-Second Routing Optimization in Computer Networks requires Packet-Level Dynamics"
An advanced, dependency-free decentralized resource grid router and network topology optimizer written from scratch in pure C++17. Features hyper-compact packed array graph databases (.poseidon format), bare-metal pointer Dijkstra flow routing engines, and minimalist command prompt shells.
Medical Transport Web Application - Capstone Project
Cloud traffic engineering: ingress/egress routing, path selection, BGP traffic shaping, and network performance optimization
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