This model is an example of a decentralization planning problem. Given a set of departments of a company, and potential cities where these departments can be located, we want to determine the “best” location of each department in order to maximize gross margins. This problem is formulated as a quadratic assignment problem using the Gurobi Python API and solved with the Gurobi Optimizer.
This model is example 10 from the fifth edition of Model Building in Mathematical Programming, by H. Paul Williams on pages 265 and 317-319.
This modeling example is at the advanced level, where we assume that you know Python and the Gurobi Python API and that you have advanced knowledge of building mathematical optimization models. Typically, the objective function and/or constraints of these examples are complex or require advanced features of the Gurobi Python API.
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Modeling examples are coded using the Gurobi Python API in Jupyter Notebook. In order to use the Jupyter Notebooks, you must have a Gurobi License. If you do not have a license, you can request an Evaluation License as a Commercial User or download a free license as an Academic User.
Access the Jupyter Notebook Modeling Example
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