Documentation/Modules/DoePlanner

Summary

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.

Properties

General

Algorithm	stochastic or deterministic.
Design Variables	continuous, discrete or mixed variables are possible.
Objectives	not required, thus any number of objectives can be handled.
Constraint handling	not required, thus any number of constraints can be handled.
Boundary handling	not required.
Initialization	Does not required initial solution, initial search region, or bounds.

Connections

Starting at this module	Module requires exactly one connection of type optimization.
Ending at this module	-

Actions

Name	Description
Run	starts the DoE.

Options

The options are currently only described in the references (see below) and as pop-up help.

Module Description

Initialization

Not required.

Algorithm

The algorithm may contain stochastic processes. Parallel evaluation of experiments is possible.

Usage

... todo

Source Code

ToDo:Link to SVN

References

Detailed information is given at Documentation/DoE.