An ALNS framwork for solving EVSP written in Python.

This notebook serves as an introduction to Linear Programming and MILP with Python, covering both the concepts and practical applications through various popular optimization problems.

Proof of concept webapp for integer linear programming workforce scheduling

This respository contains the code for my MSDS 460 Decision Analytics project titled "MILP Schedule Optimization: Clinical Trial Visit Scheduling". This project utilized an MILP model to optimize clinical trial visit scheduling with a focus on neuroimaging for neurodegenerative diseases such as dementia.

AI-powered logistics optimization model using LSTM forecasting, MILP, and vehicle routing to improve branch-level sales and stock harmony in retail supply chains.

This repository represents Multi-Factory Network Scheduling MILP optimizer using Python language

Mixed-Integer Linear Programming (MILP) with CPLEX solver to optimize server fleet management.

This project aims to maximize path length in a grid by fitting pentominoes and selecting start and end positions, always choosing the shortest path. Three approaches have been explored so far: brute force, pathfinding algorithms, and MILP-based optimization.

Automatic bot to solve Tango Linkedin game using Python.

This repository implements a MILP model using Python to optimize a multistage batch production scheduling problem in a steel manufacturing context

Improving the scheduling of railway maintainance projects by minimizing passengers delays subject to event requests of railway operators through mixed integer linear programming optimisation.

Repo containing the project files for "Communication Network Design" course taken during academic year 2022-2023 winter semester of Master of Telecommunication Engineering program at Politecnico di Milano.

Combinatorial optimization project for the Multiple Couriers Problem (MCP).

Assign workers to tasks for the duration of their shift while meeting a range of fixed and variable constraints. A resource allocation problem.

Project for Operational Reserach class, at ECE AUTH

This project aims to compare and analyze results from different optimization methods—MILP using branch and bound, MILP using branch and cut, and Genetic Algorithm—to identify the best approach for selecting influencers based on engagement and cost for a marketing campaign.

Automatic bot to solve Queens Linkedin game using Python.