There are 0 repository under network-optimization topic.
A QoE-Oriented Computation Offloading Algorithm based on Deep Reinforcement Learning (DRL) for Mobile Edge Computing (MEC) | This algorithm captures the dynamics of the MEC environment by integrating the Dueling Double Deep Q-Network (D3QN) model with Long Short-Term Memory (LSTM) networks.
This advanced and complex project implements an AI-powered optimization system for 5G Open RAN networks. Using machine learning and deep learning, the system optimizes network performance by detecting anomalies, predicting network traffic, and dynamically allocating resources.
Neural Network Hyper-parameter Tuning with Genetic Algorithms 🤖 🧬
A simple guide to optimize your ping in CS2 through Windows Registry tweaks and in-game settings adjustments by @OhLasFar on Twitter.
🌐 Scripts to configure persistent MTU settings for Tailscale on Linux and Windows, enhancing network performance with automated and customizable setups.
🔍To choose the best CloudFront IPs for achieving fast⚡ and low-latency connections
A tool box for deploy time structure optimization for some modern CNN structures
GPU implementation of Floyd-Warshall and R-Kleene algorithms to solve the All-Pairs-Shortest-Paths(APSP) problem on Graphs. Code includes random graph generators and benchmarking/plotting scripts.
Supply chain network optimization for oilseed processing (bio-diesel application)
Constrained optimization problems, including linear,network, dynamic,integer, and nonlinear programming, decision trees, queueing theory and Markov decision processes.
EcoSphereAI is a sustainable, AI-driven platform optimizing connectivity systems with features like energy optimization, predictive maintenance, and sustainability reporting. Build the future of efficient and green networks!
Master's Thesis: Dynamic Quality Estimation of Wireless Links with Autonomous Agents
Network optimization problem solved using Gurobi Python
Formulate the network optimization problem as a discrete model, identifying mathematically the variables and constraints associated with the network. Formulate (mathematically) and solve a non-linear optimization problem based on real (or realistic) world data.
Network-flows: a c++ command line tool for network optimization problems
Solving linear programming using python optimizer interface. This repo allows you to add multiple decision vars and constraints etc. in a very easy way.
optimizes network settings on Linux for gaming
TravelPathOptimizer for trucking logistics is a software tool that boosts efficiency by determining optimal routes through algorithms. It accounts for traffic, weather, load, and timing, dynamically adjusting for delays. This reduces costs, ensures prompt deliveries, and enhances service, boosting trucking productivity and sustainability.
Implementation of 2 apps, using Mininet as a Virtual Network Simulator and OpenDaylight Software-Defined-Networking Controller.
4 sample solutions on Network optimization problems.
[ToN 2024] On the Benefits of Traffic “Reprofiling” the Multiple Hops Case—Part I
In this project, I built several optimization models to determine production level, manage shipment, and maximize thesis points. I also built queueing models to analyze queueing systems in a hospital and made recommendations to meet the criteria, and simulation models to analyze system performance under uncertainty.
A brief course intended to introduce non-programmers to python and data wrangling. Also, demonstration of network optimization, pdf creation in Python, and a simple Monte Carlo simulation.
A variant of neuroplan that uses synthesized datasets (based on the Topology Zoo)
Optimise cellular tower networks with modified MST algorithms (Kruskal's & Prim's). Includes real-world constraint handling, visualization tools, and support for diverse network configurations.
Nebula is a lightweight tool for secure peer-to-peer communication and data sharing over private networks. 🌌🔐
Multi-stage Stochastic Programming for Integrated Network Optimization in Hurricane Relief Logistics and Evacuation Planning
Optimal placement of police cars to minimize response time to events in police districts.
"DDAP/DAP solved with evolutionary algorithm" project of the course "OAST - Optimization and Analysis of ICT networks" realized during the winter semester of 2022 on the Warsaw University of Technology.
Laboratory sessions for the class "Optimization & Analytics". Grade 9.7/10 (Honours)
Maximize the flow of data through a network with this efficient Maximum Flow Algorithm implemented in Kotlin. Use it to optimize data transmission and improve network performance.
Surge is a powerful and flexible network management tool designed to optimize, monitor, and debug your internet connections.
Find maximum possible flow in your graphs, optimize networks.