Created by: Davide Carecci
Initial commit: 02.09.2025
⚠️ The general_utils library contains also a user manual to setup VSCode/Python for non-expert users and the list of the required standard Python libraries (download it from the GitHub repository).

BIOGoAlS.TE_LP was developed following the Robust Optimization PhD course at Politecnico di Milano, taught by Professor Erick Delage.
The tool implements a robust linear programming (LP) optimization framework for diet or feed composition problems inspired by supply-chain formulations.

• See /Project/RobustOptimization_Project_Proposal.pdf for a conceptual introduction.
• See /Project/RobustOptimization_Project_Report.pdf for rigorous mathematical formulations and interpretation of the results for the example case study.
• See /BIOGOALS.TE-LP_USER_MANUAL.pdf for a step-by-step guide through the files and the main Jupyter notebook /Project/RO_project.ipynb.
• See MATH80624_LectureNotes.pdf for detailed mathematical background.

Note: The /80624 folder is deprecated.

• Jupyter Notebook:
  Main implementation of the BIOGoAlS.TE_LP tool, performing robust linear programming optimization for diet formulation (supply-chain-like problem).
  Mosek license recommended.
  If Mosek is not available, install GUROBI or another open-source solver, and modify the notebook (/Project/RO_project.ipynb) accordingly.
  The default solver is scipy.optimize.

• Supplementary Python functions:
  Supporting scripts required for the Jupyter Notebook to execute correctly.

• Excel input file:
  Contains input data required by the Jupyter Notebook.

• Excel output file:
  Stores optimization results generated by the Jupyter Notebook.

• PDF documents:
  Provide an introduction and documentation of the example implementation and its corresponding results.

• Markdown links (./folder/file) are used for proper GitHub rendering.
• The repository assumes a Python 3.10+ environment with numpy, pandas, and a linear programming solver (Mosek, GUROBI, or open-source alternative e.g. scipy).

© 2025 Davide Carecci — All rights reserved.