In this example, you’ll learn how to solve a logical design problem, which involves constructing a circuit using the minimum number of NOR gates (devices with two inputs and one output) that will perform the logical function specified by a truth table. We’ll show you how to formulate this problem as a binary optimization problem using the Gurobi Python API and then use Gurobi Optimizer to automatically find the optimal solution.
This model is example 12 from the fifth edition of Model Building in Mathematical Programming by H. Paul Williams on pages 266-267 and 320-321.
This example is at the intermediate level, where we assume that you know Python and the Gurobi Python API and that you have some knowledge of 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.Â
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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