Retirement planner with great wisdom

Optimization solvers in pure Python: LP, MILP, SAT, constraint programming, graph and metaheuristics. No dependencies. Solvor all your optimization needs.

An ALNS framwork for solving EVSP written in Python.

Multi-agent system for renewable energy optimization using natural language. Processes energy scenarios, solves MILP optimization problems, and provides interpretable results.

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.

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

Quantitative factor-driven portfolio optimizer with MILP, rolling beta estimation, sector-aware constraints, and a live interactive backtest & analytics app deployed on Streamlit.

Proof of concept webapp for integer linear programming workforce scheduling

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

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

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.

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

Project for Operational Reserach class, at ECE AUTH

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.

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.

Automatic bot to solve Tango Linkedin game using Python.

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

AMPL models solving sudoku problem

Timetabling models implemented in AMPL based on MILP formulations

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.