There are three strategies for automating the metamodel-based optimization procedure. These strategies apply to the tasks Metamodel-based Optimization and RBDO, and are available in the Task dialog.
The two strategies for the calculation of global metamodels Single Iteration and Sequential are investigated.
Remarks and hints on selection of Meta-Model
In this part, we’ll look deeper into how the space filling point sampling algorithm works. Also, the definition of sampling constraints will be explained.
LS-OPT can handle discrete variables and even discrete variables in combination with continuous variables, as well as discrete variables with string values.
I defined a discrete variable with a list of integer values, but LS-OPT replaces the variables in the input file by e.g. 1. with a dot.
Specifying Computing Resources for Concurrent Processing
The reading of big files can be skipped in the following way:
Using Lookup, LookupMin and LookupMax
How can I define in LS-OPT which output files are used for result extraction if I have mutliple output result files because of *CASE?
A probabilistic variable is completely described using a statistical distribution. The statistical distribution defines the mean or nominal value as well as the variation around this nominal value.