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.

Find maximum possible flow in your graphs, optimize networks.

This repository contains solution to the "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.

Constrained optimization problems, including linear,network, dynamic,integer, and nonlinear programming, decision trees, queueing theory and Markov decision processes.

CLI for programmatic reporting and network optimization on SpringServe AdServer

Network-flows: a c++ command line tool for network optimization problems

Master's Thesis: Dynamic Quality Estimation of Wireless Links with Autonomous Agents

Solving linear programming using python optimizer interface. This repo allows you to add multiple decision vars and constraints etc. in a very easy way.

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.

4 sample solutions on Network optimization problems.

A simple guide to optimize your ping in CS2 through Windows Registry tweaks and in-game settings adjustments by @OhLasFar on Twitter.

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.

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.

Network Optimisation solver

A variant of neuroplan that uses synthesized datasets (based on the Topology Zoo)

Network optimization problem solved using Gurobi Python

Optimal placement of police cars to minimize response time to events in police districts.

Implementation of 2 apps, using Mininet as a Virtual Network Simulator and OpenDaylight Software-Defined-Networking Controller.

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.