Documentation/Modules/RandomSampling

Random Sampling

Summary

This module contains a simple method for Design of Experiments: It just samples random points with a uniform distribution within the bounds.

Properties

General

Algorithm	stochastic
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	stays within given bounds.
Initialization	Requires 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 contains stochastic processes. Parallel evaluation of experiments is possible.

Usage

... todo

Source Code

ToDo:Link to SVN

References

General information is given at Introduction to Design of Experiment.