This module contains general implementation for Design of Experiment (DoE) plans. Currently, the Full Factorial and Latin Hypercube plan are implemented. For an introduction to DoE, see the Introduction to Design of Experiment.
|stochastic or deterministic.
|continuous, discrete or mixed variables are possible.
|not required, thus any number of objectives can be handled.
|not required, thus any number of constraints can be handled.
|Does not required initial solution, initial search region, or bounds.
|Starting at this module
| Module requires exactly one connection of type
|Ending at this module
|starts the DoE.
The options are currently only described in the references (see below) and as pop-up help.
The algorithm may contain stochastic processes. Parallel evaluation of experiments is possible.
ToDo:Link to SVN
Detailed information is given at Documentation/DoE.