Optimization¶
This space is all about exploring optimization models and how to solve them using Mixed-Integer Linear Programming (MILP) techniques. We’ll be using Python and the Pyomo library to share practical examples that help tackle complex decision-making problems. Please note, this is a work in progress, new models and solutions will be added regularly as we continue to expand and refine our content.
Whether you're a beginner or experienced, you'll find valuable resources to enhance your understanding of optimization and its applications.
Models¶
-
How to solve Sudoku puzzles using Mixed Integer Linear Programming (MILP)?
-
How to find the most efficient route with the goal of minimizing travel cost
-
How to build a portfolio that gives the best return with the least amount of risk?