Want to learn how to configure a network of cell towers to provide signal coverage to the largest number of people possible? In this example, you’ll learn how to solve this simple covering problem. We’ll show you how to construct a mixed-integer programming (MIP) model of the problem, implement this model in the Gurobi Python API, and find an optimal solution using the Gurobi Optimizer.
This modeling example is at the beginner level, where we assume that you know Python and that you have some knowledge about building mathematical optimization models.
Click on the button below to access the example in Google Colab, which is a free, online Jupyter Notebook environment that allows you to write and execute Python code through your browser.
Check out the Colab Getting Started Guide for full details on how to use Colab Notebooks as well as create your own.
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