| Design Optimization Tutorial |
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2.7 Design of Experiment (DOE)
To run an optimization, we need a first set of models (designs),
from which optimization algorithms start the optimization process.
modeFRONTIER supplies different types of algorithms to generate
an effective Design of Experiments (DOE).
The DOE component
has been introduced in the Work Flow desktop
in section 2.4, as the starting point of
the logic flow of the process.
To enter the DOE Properties window, double click on its icon or RMB
click and select Edit Node Properties, as usual.
There is a list of possible DOE, providing different ways to develop the DOE and they are:
Once created, the table can be manually modified by editing the
values. Operations as cut
, copy
, paste
are possible, besides the
values can be imported from a file as well.
Fig. T2.7.1 shows a case with 10 initial designs generated using the Sobol algorithm.
|
| Fig. T2.7.1: a Sobol generated DOE. |
|---|
The rows outlined in yellow are not feasible designs, because they do not fulfil the constraint BH > 0: to point out this fact, the pertinent cell is highlighted in orange
When you want to import the values from a file (usually named *.des), be sure it is an ASCII file and that the data are arranged in a table as the one below:
<ID> H L S T B F Wc Mc YoungNames and values can be separated by comma, blank, tab, and it is mandatory to define a <ID> column, that identifies the ID of the imported designs.
000000 8 2.652352352352e+001 10 3.002002002002e+001 8 150 1 0.001 2.1e+005
000001 4 1.476176176176e+001 10 2.001001001001e+001 4.5 150 1 0.001 2.1e+005
000002 12 3.828528528529e+001 10 4.003003003003e+001 11.5 150 1 0.001 2.1e+005
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