https://github.com/gabrielcformiga/python-mip
https://github.com/gabrielcformiga/python-mip
Last synced: 9 months ago
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- Host: GitHub
- URL: https://github.com/gabrielcformiga/python-mip
- Owner: GabrielCFormiga
- Created: 2025-08-13T17:19:51.000Z (11 months ago)
- Default Branch: master
- Last Pushed: 2025-08-13T19:47:01.000Z (11 months ago)
- Last Synced: 2025-08-13T21:29:34.991Z (11 months ago)
- Language: Jupyter Notebook
- Size: 5.86 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
## From Model to Solution: Mastering Optimization with Python-MIP
---
Welcome to "Mastering Optimization with Python-MIP".
First of all, I would like to thank the excellent professor Teobaldo Bulhões — perhaps the best I have had at university, not for theoretical depth, but for his ability to explain a concept simply without losing its essence, something I greatly admired in great minds like Richard Feynman. He was my professor in the Operations Research course at UFPB and introduced me to Python-MIP.
Getting to the point, this repository contains a collection of optimization problem models using Python-MIP and marks my learning journey.
I hope it can serve as a guide for those who wish to learn and apply optimization techniques in their own Mixed-Integer Linear Programming Problems projects.
---
## Content
1. [Problems](./src/)
* [Lesson 4 - Product Allocation to Factories](./src/lesson4.ipynb)
* [Lesson 5 - Facility Location](./src/lesson5.ipynb)
* [Lesson 6 - Bin Packing](./src/lesson6.ipynb)
* [Lesson 7 - Traveling Salesman Problem](./src/lesson7.ipynb)
* [Lesson 8 - Steel Company](./src/lesson8.ipynb)
* [Lesson 9 - Agricultural Production](./src/lesson9.ipynb)
* [Lesson 10 - Craftsman's Workshop](./src/lesson10.ipynb)
2. [References](#general-references)
---
## General References
* Hillier, F. S., & Lieberman, G. J. (1990). Introduction to Operations Research (7th Edition). McGraw-Hill Education.