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

Proof of concept webapp for integer linear programming workforce scheduling

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.

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

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.

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

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.

Project for Operational Reserach class, at ECE AUTH

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

Automatic bot to solve Tango Linkedin game using Python.

A toolkit for generating λ -precision UDGs, primarily designed for modelling large-scale static WSNs. It features a suite of solver-agnostic MILPs. Whether you are minimising network variance or balancing complex resource distributions, it provides the algorithms needed to perfectly allocate resources across distributed networks.

Optimisation multi-objectifs de la rénovation énergétique tertiaire (2026-2050) via MILP et graphes spatio-temporels.

Automated formal verification tool for vision classifiers using CLIP embeddings and MILP optimization. Converts OWL ontologies into ConSpec specifications and provides mathematical guarantees about model behavior in safety-critical AI systems.

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.