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==Summary== | ==Summary== | ||
Aktuelle Version vom 15. Februar 2013, 22:46 Uhr
Inhaltsverzeichnis
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.
