Taking Your Optimization Skills to the Next Level

Soft constraints, linearization, multi-objectives and more

If you are an optimization beginner, I would recommend you to start with the why and the how, before returning to this post. Here I provide additional information by explaining common practices when problems are a bit more complicated than basic toy examples.

Reading the solver progress

By adding tee=True to opt.solve(model) the progress of the solver prints during optimizing. You can also choose to write the …

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