ALAMO generates algebraic models of simulations, experiments, or other black-box systems. The models provided by ALAMO are:

  • accurate
  • simple in functional form
  • generated from a minimal experimental data set.

ALAMO uses an iterative design of experiments to build low-complexity surrogate models while answering the following questions:

  • What is the functional form of the model?
  • How complex of a model is needed?
  • Will this be tractable in an algebraic optimization framework?
  • How many sample points are needed to define an accurate model and where should they be sampled?

For more information about the details of ALAMO see the Overview page


For access to ALAMO, please visit http://minlp.com/alamo-downloads