Tutorials¶

This section provides detailed tutorials on how to model optimization problems with Hexaly Optimizer.

After a quick description of Hexaly Optimizer’s basic principles you will be invited to solve your first optimization problem. This first model can be implemented either with Hexaly Modeler or in your favorite language (Python, C++, Java, .Net). Hexaly Modeler was designed to enable users to write optimization models with a natural mathematical formalism, even for set-based modeling. Our introduction to Hexaly Modeler will give you a first view of its expressiveness.

We will then see how to model a more complex business problem, using the example of the Car-Sequencing Problem. We will go over all the modeling steps with more details. For each language, we will illustrate how to choose the decision variables, how to define intermediate expressions using non-linear operators, and how to write the constraints and objectives of the problem.

Finally, we provide a guide explaining the best practices for debugging when you suspect a design error in your model.